Journal articles: 'Cruise Controller'

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Padmagirisan, P., R. Sowmya, and V. Sankaranarayanan. "Power-assist control of a human–electric hybrid bicycle with energy regeneration and cruise control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 2 (July 26, 2018): 179–91. http://dx.doi.org/10.1177/0959651818788776.

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In this article, we propose three different controllers for the human–electric hybrid bicycle. The main objective of the controller is to ensure power-assist, cruise control and regenerative braking whenever possible. Power-assist controller is designed without torque sensor, cruise controller is designed to keep constant speed and the regenerative braking controller is designed to save the energy while braking. Proportion-assisted power method is implemented using the pedaling torque estimated by disturbance observer. Cruise control is achieved using the estimated speed from the hall sensor rather than using actual speed sensor. Single switch regenerative braking method is applied to yield maximum energy recovery during braking. It is noted that the performance similar to torque sensor–based proportion-assisted power is achieved using torque sensorless approach. All of the proposed controllers are implemented experimentally in the experimental setup, and their results are presented.

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Abdulnabi, Ahmed. "PID Controller Design for Cruise Control System using Particle Swarm Optimization." Iraqi Journal for Computers and Informatics 43, no. 2 (December 31, 2017): 30–35. http://dx.doi.org/10.25195/ijci.v43i2.61.

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This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise controlsystem. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have beenselected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has beencompared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm basedPID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settlingtime, rise time, peak time, and maximum overshot. The robustness analysis shows that the system is robust despite thedeviations in some of the system parameters.

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Shin, Kyungsik, Jaeho Choi, and Kunsoo Huh. "Adaptive Cruise Controller Design Without Transitional Strategy." International Journal of Automotive Technology 21, no. 3 (February 20, 2020): 675–83. http://dx.doi.org/10.1007/s12239-020-0065-0.

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Ren, Yue, Ling Zheng, Wei Yang, and Yinong Li. "Potential field–based hierarchical adaptive cruise control for semi-autonomous electric vehicle." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 10 (September 11, 2018): 2479–91. http://dx.doi.org/10.1177/0954407018797571.

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Adaptive cruise control, as a driver assistant system for vehicles, can adjust the vehicle speed to keep the appropriate distance from other vehicles, which highly increases the driving safety and driver’s comfort. This paper presents hierarchical adaptive cruise control system that could balance the driver’s expectation, collision risk, and ride comfort. In the adaptive cruise control structure, there are two controllers to achieve the function. The one is the upper controller which is established based on the model predictive control theory and used to calculate the desirable longitudinal acceleration. The collision risk is described by the Gaussian distribution. A quadratic cost function for model predictive control is formulated based on the potential field method through the contradictions between the tracking error, collision risk, and the longitudinal ride comfort. The other one is the lower optimal torque vectoring controller which is constructed based on the vehicle longitudinal dynamics. And it can generate the desired acceleration considering the anti-wheel slip limitations. Several simulations under different road conditions demonstrate that the proposed adaptive cruise control has significant performance on balancing the tracking ability, collision avoidance, ride comfort, and adhesion utilization. It also maintains vehicle stability for the complex road conditions.

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Yi, K., S. Lee, and Y. D. Kwon. "An investigation of intelligent cruise control laws for passenger vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 215, no. 2 (February 1, 2001): 159–69. http://dx.doi.org/10.1243/0954407011525502.

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This paper describes intelligent cruise control (ICC) laws for passenger vehicles. ICC systems consist of a vehicle detection sensor, a controller and throttle/brake actuators. For the control of a throttle/brake system, a solenoid valve controlled electronic vacuum booster (EVB) and a step motor controlled throttle actuator have been used. A non-linear computer model for the electronic vacuum booster has been developed and the simulations were performed using a complete non-linear vehicle model. The proposed control law in this paper consists of an algorithm that generates the desired acceleration/deceleration profile in an ICC situation, a throttle/brake switching logic and a throttle/brake control algorithm. The control performance has been investigated through computer simulations and vehicle tests. The test vehicle is equipped with a millimetre wave radar distance sensor, an Intel 80C196 controller, a solenoid valve controlled EVB and a step motor controlled throttle actuator. The results indicate that the proposed throttle/brake control laws can provide satisfactory vehicle-to-vehicle distance and velocity control performance.

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Nassirharand, Amir, and S. R. Mousavi Firdeh. "Single‐range controller design for a cruise missile." Aircraft Engineering and Aerospace Technology 81, no. 4 (July 3, 2009): 283–87. http://dx.doi.org/10.1108/00022660910967264.

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Liu, Ding, and Jian Xiong. "Adaptive Cruise Control System: Comparing LQ and MP Controllers." Applied Mechanics and Materials 713-715 (January 2015): 833–36. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.833.

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A vehicle longitudinal dynamics model, its inverse model and a following model are established; and then two control applications namely gain scheduling Linear Quadratic (LQ) control and Model Predictive (MP) control are designed for adaptive cruise control (ACC) system; finally an integrated Simulink model including the nonlinear dynamic vehicle model and the ACC controller (either LQ or MP) was used to test the controllers in various traffic scenarios. Comparison results between the two controllers applications is provided to show the validity of the design.

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Fan, Yonghua, Pengpeng Yan, Hongyang Xu, and Fan Wang. "Lateral control strategy for a hypersonic cruise missile." International Journal of Advanced Robotic Systems 14, no. 2 (March 1, 2017): 172988141769914. http://dx.doi.org/10.1177/1729881417699147.

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Hypersonic cruise missile always adopts the configuration of waverider body with the restraint of scramjet. As a result, the lateral motion exhibits serious coupling, and the controller design of the lateral lateral system cannot be conducted separately for yaw channel and roll channel. A multiple input and multiple output optimal control method with integrators is presented to design the lateral combined control system for hypersonic cruise missile. A hypersonic cruise missile lateral model is linearized as a multiple input and multiple output plant, which is coupled by kinematics and fin deflection between yaw and roll. In lateral combined controller, the integrators are augmented, respectively, into the loop of roll angle and lateral overload to ensure that the commands are tracked with zero steady-state error. Through simulation, the proposed controller demonstrates good performance in tracking the command of roll angle and lateral overload.

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Jain, Ankur, and B. K. Roy. "Gain-Scheduled Controller Design for Cooperative Adaptive Cruise Control: Towards Automated Driving." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 337–43. http://dx.doi.org/10.5373/jardcs/v11sp12/20193229.

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Volkov, V. G., and D. N. Demyanov. "Synthesis and Approximation of Control in Adaptive Cruise Control Systems of Commercial Vehicles." Mekhatronika, Avtomatizatsiya, Upravlenie 19, no. 11 (November 8, 2018): 707–13. http://dx.doi.org/10.17587/mau.19.707-713.

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In this paper, we consider the problem of the development of an algorithm of the adaptive cruise control functioning operating in the conditions of powertrain gear ratio varying in a wide range and vehicle velocity changing. The functioning of a classical cruise control system is generally based on the usage of a PID-controller with constant coefficients. However, despite the easiness of its tuning and physical realization and also its relatively high robustness this class of control devices cannot guarantee the cruise control system optimal functioning in all driving conditions because the plant is not timeinvariant and linear. To overcome the above shortcomings, in this research we consider the possibility of neural network realization of a commercial vehicle adaptive cruise control algorithm.In this paper, we propose the mathematical model of a commercial vehicle longitudinal motion designed for the control system analysis and synthesis. We carry out the PI-controller coefficients tuning to control the vehicle longitudinal velocity in various driving conditions of a commercial vehicle. We show that the controller coefficients vary according to a rather complex law. Therefore, we propose the algorithm of the adaptive cruise control functioning based on the approximation of the controller coefficients by the artificial neural network. The network used is the multilayer perceptron and it has ten neurons in the hidden layer to provide the high quality of the approximation. We carry out the training of the neural network by the Levenberg-Marquardt method with a sample of a total volume of 500 points, obtained using standard methods of controller synthesis. We verify the correctness of the obtained results through the computer simulations of the vehicle acceleration from 0 to 100 km/h, proving that the PI-controller coefficients, providing the required transient responses, significantly vary depending on the current state of the vehicle. The approach of the PI-controller coefficients approximation presented in this paper may be further used in the design of adaptive control systems able to function effectively in various operating modes.

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Faieghi, Mohammadreza, Aliakbar Jalali, Seyed Kamal-e.-ddin Mousavi Mashhadi, and Dumitru Baleanu. "Passivity-based cruise control of high speed trains." Journal of Vibration and Control 24, no. 3 (April 25, 2016): 492–504. http://dx.doi.org/10.1177/1077546316645417.

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The cruise control problem of high speed trains (HSTs) is revisited in this paper. Despite the ongoing trend of using Lyapunov-based approaches, the concept of passivity is used as the basis of cruise controller design. To begin with, the Euler–Lagrange modeling of longitudinal motion of HST is introduced. Consequently, passivity properties of the system is investigated and it is shown that the system presents a strictly passive input–output map output. This property is utilized to design a controller based on an energy-shaping method. Since the controller benefits from the passivity property of the train, it is structurally simple and computationally efficient while ensuring asymptotic velocity tracking. In addition, as revealed in our robust analysis, the controller is capable of dealing with bounded perturbations. That is to say, boundedness of velocity tracking errors is guaranteed for sufficiently large control feedback gains. The obtained theoretical results have been verified by numerical simulation.

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He, Defeng, Wentao He, and Xiulan Song. "Efficient predictive cruise control of autonomous vehicles with improving ride comfort and safety." Measurement and Control 53, no. 1-2 (January 2020): 18–28. http://dx.doi.org/10.1177/0020294019877518.

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In this paper, the adaptive cruise control problem of autonomous vehicles is considered and we propose a novel predictive cruise control approach to improve driving safety and comfort of the host vehicle. The main idea of the approach is that the predicted acceleration commands of the host vehicle are stair-likely pre-planned to satisfy their changes along the same direction within the prediction horizon. The predictive cruise controller is then computed by online solving a finite horizon constrained optimal control problem with a decision variable. Besides explicitly handling safety constraints of vehicles, the obtained controller has abilities to efficiently attenuate peaks of the cruise commands while reducing computational load of online solving the optimization problem. Hence, the ride comfort and safety performances of vehicles are improved in terms of softening acceleration response and constraint satisfaction. Moreover, the ride comfort, following and safety performances of vehicles are summed with varying weights to cope with various traffic scenarios. Some classical cases are adopted to evaluate the proposed adaptive cruise control algorithm in terms of ride comfort, car-following ability and computational demand.

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Lau, M. W. S., S. S. M. Swei, G. Seet, E. Low, and P. L. Cheng. "Control of an underactuated remotely operated underwater vehicle." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 217, no. 5 (August 1, 2003): 343–58. http://dx.doi.org/10.1177/095965180321700501.

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In this paper, a steady state model of a thruster and a general equation of rigid-body motion for an underwater robotic vehicle (URV) is presented. By means of modelling, simulation and experiments, the model parameters have been identified. These are used in the analysis and design of closed-loop stabilizing controllers for two control modes: manual cruise and station keeping. Since the URV under study has fewer actuators than possible degrees of freedom, it is necessary to limit the controllable degrees of freedom. These variables are eventually selected based on the inherent vehicle dynamics. Using the Lyapunov direct method, which has been shown to be appropriate for such non-linear systems, appropriate stabilizing controllers have been designed. The manual cruise mode controller is non-linear and would result in chattering in the thruster outputs, but simulations show that the desired results can be achieved. The station-keeping mode controller has a proportional-integral-derivative (PID) structure and its gain values are designed using a non-linear optimizing approach. Simulation and swimming pool tests for the heave and yaw directions have shown that such a controller is possible.

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Chen, Xue-Wen, Yue Zhou, Jin-guo Zhang, and Zhi-feng Wang. "A synergetic strategy of automobile intelligent cruise system based on fuzzy control adopting hierarchical structure." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987775. http://dx.doi.org/10.1177/1729881419877758.

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To improve automobile travel safety and relieve the intension of driving fatigue, a synergetic strategy on the throttle and brake combined control of automobile cruise system is proposed based on fuzzy control theory. A hierarchical control structure, including the upper fuzzy controller and the lower model match controller, is designed for integrated control function. The upper controller consists of the two input variables, that is, the deviation of the theoretical safe distance and the relative distance and the relative velocity between the host car and the preceding vehicle, and the single output variable, that is, the excepted acceleration of host car. The lower controller has achieved the fast compensation of excepted acceleration by adopting parallel feedforward and feedback compensator to input into the inverse dynamics model of automobile cruise system. Using MATLAB/Simulink, the control function on the proposed synergetic strategy is validated for different working cases. The results show that the synergetic strategy possesses an integrated capability involved automated stop & go control, and following the preceding car to prevent rear-end collision, and the constant velocity cruise whether the driving conditions of the city road or expressway.

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Mahmud, Iwan, Rini Akmeliawati, and Agus Budiyono. "DE-based Robust Controller Design for Helicopter Cruise Control." International Journal of Robotics and Mechatronics 1, no. 4 (February 2, 2015): 145–51. http://dx.doi.org/10.21535/ijrm.v1i4.183.

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R. Shashi Kumar Reddy et al.,, R. Shashi Kumar Reddy et al ,. "Simulink Modelling and Controller Design for an Auto Cruise." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 5717–26. http://dx.doi.org/10.24247/ijmperdjun2020544.

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Padash, Mohsen, Mehdi Tavassoli, Abdollah Khoei, and Khayrollah Hadidi. "A Sophisticated Algorithm for Using Fuzzy Logic Controllers in Adaptive Cruise Controller Systems." Universal Journal of Electrical and Electronic Engineering 1, no. 4 (December 2013): 134–41. http://dx.doi.org/10.13189/ujeee.2013.010406.

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Basargan, Hakan, András Mihály, Péter Gáspár, and Olivier Sename. "Adaptive Semi-Active Suspension and Cruise Control through LPV Technique." Applied Sciences 11, no. 1 (December 30, 2020): 290. http://dx.doi.org/10.3390/app11010290.

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Several studies exist on topics of semi-active suspension and vehicle cruise control systems in the literature, while many of them just consider actual road distortions and terrain characteristics, these systems are not adaptive and their subsystems designed separately. This study introduces a new method where the integration of look-ahead road data in the control of the adaptive semi-active suspension, where it is possible to the trade-off between comfort and stability orientation. This trade-off is designed by the decision layer, where the controller is modified based on prehistorical passive suspension simulations, vehicle velocity and road data, while the behavior of the controller can be modified by the use of a dedicated scheduling variable. The adaptive semi-active suspension control is designed by using Linear Parameter Varying (LPV) framework. In addition to this, it proposes designing the vehicle velocity for the cruise controller by considering energy efficiency and comfort together. TruckSim environment is used to validate the operation of the proposed integrated cruise and semi-active suspension control system.

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Song, Gui Qiu, Ying Yang, Haiqiang Hang, and Shu Hong Wang. "Study on Vehicle Collision-Avoiding Radar and Intelligent Cruise Control System." Key Engineering Materials 297-300 (November 2005): 311–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.311.

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An integrated vehicle collision-avoiding radar and intelligent cruise control system is proposed. Collision-avoiding radar measures the distance of a vehicle-to-vehicle and roadblocks automatically, and then Cruise Control System design optimal acceleration for the vehicle-to-vehicle distance control. An integrated radar and intelligent cruise control law has been proposed. Using this control law, the brake controller forces the vehicle acceleration to converge to the desired acceleration. It has been shown via the simulations with good distance control performance in both high speed and low speed stop and good driving situations. Vehicle Collision-avoiding Radar System and Intelligent Cruise Control System have very important significance on improving vehicle active safety and reducing driver’s fatigue. Collision-avoiding Radar System and Intelligent Cruise Control System will be the necessary equipment in future vehicle.

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Wang, Long Sheng, Hong Ze Xu, and Heng Yu Luo. "An Intelligent Cruise Controller for High-Speed Train Operation Based on Fuzzy Neural Network Theory." Applied Mechanics and Materials 300-301 (February 2013): 1405–11. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.1405.

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An intelligent control strategy is proposed in this paper, which is applied to the high-speed train ATO (Automatic Train Operation) system in the cruise condition. The dynamics of a high-speed train is discussed based on a typical single-point-mass model and the force analysis in cruise state is studied. A fuzzy neural network control algorithm is incorporated into the ATO system aiming at improving the velocity and position tracking performance in the cruise operation of high-speed train. This control scheme adjusts the parameters of membership functions on-line and does not rely on the precise system parameters such as resistance coefficients which are very difficult to measure in practice. The numerical simulation verifies the effectiveness of this fuzzy neural network algorithm.

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Lopes, António, and Rui Esteves Araújo. "Model-based Predictive Control implementation for Cooperative Adaptive Cruise Control." U.Porto Journal of Engineering 2, no. 1 (March 19, 2018): 1–10. http://dx.doi.org/10.24840/2183-6493_002.001_0001.

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The automation of road vehicles has become a necessity to improve the efficiency and safety of this system. In a vehicle formation it is important to maintain a safety distance between the vehicles. The control of a vehicle spacing distance and longitudinal velocity can be achieved through the implementation of a model-based predictive controller. This implementation of a cooperative adaptive cruise control allows the access of another vehicle state information through vehicular communication technology and promote state prediction and ultimately system stability. The optimization algorithm performs the computation of the control input in a control horizon window and ensures that the spacing error takes only positive values. The results of the proposed controller are evaluated through the computational tool Simulink in the two-vehicle platoon. The controller is implemented in the precedent vehicle. To assess the performance of the proposed controller different control parameters and constraints were used.

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Zhang, Sheng, and Xiangtao Zhuan. "Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle." Mathematical Problems in Engineering 2019 (December 10, 2019): 1–14. http://dx.doi.org/10.1155/2019/7971594.

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This paper studies the control strategy for adaptive cruise control (ACC) system on a battery electric vehicle (BEV) in the car-following process, and the highlight of this paper is that the regeneration braking of BEV is considered in the car-following process. The hierarchical control structure is adopted for the ACC system. And the structure contains an upper controller and a lower controller. In the upper controller, multiple objectives including the safety, tracking, comfort, and energy consumption are optimized by using the model predictive control (MPC) method. In the lower controller, the energy is recovered during braking. So the energy economy is improved by reducing energy consumption and increasing energy recovery. The proposed ACC strategy is evaluated in simulation experiment. In the simulation experiment, safe tracking for the front vehicle is guaranteed, and the comfort and the energy economy are improved greatly. So the proposed adaptive cruise control strategy can make ACC more widely used in BEVs.

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Wu, Wenguang, Debiao Zou, Jian Ou, and Lin Hu. "Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm." Mathematical Problems in Engineering 2020 (July 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/8382734.

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The braking quality is considered as the most important performance of the adaptive control system that influences the vehicle safety and ride comfort remarkably. This research is aimed at designing an adaptive cruise control (ACC) system based on active braking algorithm using hierarchical control. Taking into account the vehicle with safety and comfort, the upper decision-making controller is designed based on model predictive control algorithm. Throttle controller and braking controller are designed with feedforward and feedback algorithms as the bottom controller, where the braking controller is designed based on the hydraulic braking model. The whole model is simulated collaboratively with Amesim, Carsim, and Simulink. By comparison with the full deceleration model, the results show that the proposed algorithm can not only make the vehicle maintain a safe distance under the premise of following the target vehicle ahead effectively but also provide favorable driving comfort.

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Yi, K., and Y. Park. "An investigation into a string-stable vehicle following control strategy for stop-and-go cruise control." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 12 (December 1, 2002): 947–56. http://dx.doi.org/10.1243/095440702762508191.

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A string-stable vehicle following control strategy for stop-and-go (SG) cruise control is presented in this paper. Stop-and-go cruise control systems should be designed such that a string of the controlled vehicle is string stable in addition to every vehicle in a string of SG cruise control vehicles having to track any bounded acceleration and velocity profile of its preceding vehicle with a bounded spacing and velocity error. An optimal vehicle following control law based on the infor-mation of the following distance (clearance) and its velocity relative to the vehicle ahead (relative velocity) has been used, and string stability analysis has been based on the control law and constant time gap spacing policy. The minimum time gap for string stability has been obtained on the basis of the analysis, and the results have been verified via computer simulations. Simulation studies have been carried out using a multivehicle simulation package validated using vehicle test data. It has been shown that the minimum time gap for string stability from the string stability analysis is a good estimate to give a quantitative value for a string-stable SG cruise controller.

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Kim, J.-H., and Y.-H. Kim. "Motion control of a cruise ship by using active stabilizing fins." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 225, no. 4 (October 26, 2011): 311–24. http://dx.doi.org/10.1177/1475090211421268.

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The present study considers the motion control of a cruise ship by using active stabilizing fins. One or two pairs of stabilizing fins are equipped to reduce the roll and/or pitch motions of the cruise ship. Each fin is controlled by algorithms based on proportional–integral–derivative (PID) and linear quadratic Gaussian (LQG) control. Numerical analysis of the wave-induced motion of a cruise ship with stabilizing fins is carried out by using the time-domain ship motion program which has been developed through this study. The resultant motion response as the performance of each controller is compared between different control algorithms. Based on the present simulation results, the stabilizing fin can be considered a good instrument to reduce pitch motion as well as roll motion of the present cruise ship model. The present results show that the PID control algorithm, a simple but practical algorithm, can be an appropriate method to reduce the roll motion in a moderate sea state, while the LQG control algorithm shows good performance in reducing not only the roll motion but also the coupled roll and pitch motions simultaneously in all of environmental conditions considered.

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Wang, Wen Shen, and Chen Huang. "Adaptive Cruise Control Using Sensor Fault-Tolerant Control." Applied Mechanics and Materials 39 (November 2010): 545–49. http://dx.doi.org/10.4028/www.scientific.net/amm.39.545.

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In order to ensure the safe and reliable operation of adaptive cruise control (ACC) system, the fault-tolerant control theory is used to design the feedback control for acc system and the control rule for sensor failure in the linear continuous system is described. On the basis of riccati equation, the design method and steps of fault-tolerant controller are given from the view of optimal control. By taking adaptive cruise control of a certain mini car as research object, the simulation calculation is carried out. By applying such fault-tolerant controller for the acc system, the simulation results show that the system has no sensitiveness to the sensor faults, and the method can satisfy the demand of fault-tolerant control.

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Fan, Yong Hua, Peng Peng Yan, Fan Wang, and Hong Yang Xu. "Discrete Sliding Mode Control for Hypersonic Cruise Missile." Discrete Dynamics in Nature and Society 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/2402794.

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A discrete variable structure control (DVSC) with sliding vector is presented to track the velocity and acceleration command for a hypersonic cruise missile. In the design an integrator is augmented to ensure the tracking with zero steady-state errors. Furthermore the sliding surface of acceleration is designed using the error of acceleration and acceleration rate to avoid the singularity of control matrix. A proper power rate reaching law is utilized in this proposal; therefore the state trajectory from any initial point can be driven into the sliding surface. Besides, in order to validate the robustness of controller, the unmolded dynamic and parameter disturbance of the missile are considered. Through simulation the proposed controller demonstrates good performance in tracking velocity and acceleration command.

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PEI, Xiaofei. "Multi-mode Switching Controller for Vehicle Adaptive Cruise Control System." Journal of Mechanical Engineering 48, no. 10 (2012): 96. http://dx.doi.org/10.3901/jme.2012.10.096.

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Chang, Hyuk-Jun, Tae Kyun Yoon, Hwi Chan Lee, Myung Joon Yoon, Chanwoo Moon, and Hyun-Sik Ahn. "Design of Autonomous Cruise Controller with Linear Time Varying Model." Journal of Electrical Engineering and Technology 10, no. 5 (September 1, 2015): 2162–69. http://dx.doi.org/10.5370/jeet.2015.10.5.2162.

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Saleem, Ashraf, Ahmed Al Maashri, Muna A. Al-Rahbi, Medhat Awadallah, and Hadj Bourdoucen. "Cooperative Cruise Controller for Homogeneous and Heterogeneous Vehicle Platoon System." International Journal of Automotive Technology 20, no. 6 (September 16, 2019): 1131–43. http://dx.doi.org/10.1007/s12239-019-0106-8.

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Corona, Daniele, and Bart De Schutter. "ADAPTIVE CRUISE CONTROLLER DESIGN: A COMPARATIVE ASSESSMENT FOR PWA SYSTEMS." IFAC Proceedings Volumes 39, no. 5 (2006): 253–58. http://dx.doi.org/10.3182/20060607-3-it-3902.00046.

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Yang, Ciann-Dong, and Yun-Ping Sun. "Mixed H2/H cruise controller design for high speed train." International Journal of Control 74, no. 9 (January 2001): 905–20. http://dx.doi.org/10.1080/00207170010038703.

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Maji, Pallab, Sarat Kumar Patra, and Kamalakanta Mahapatra. "Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System." Advances in Artificial Intelligence 2015 (November 15, 2015): 1–7. http://dx.doi.org/10.1155/2015/624638.

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Fuzzy logic systems have been widely used for controlling nonlinear and complex dynamic systems by programming heuristic knowledge. But these systems are computationally complex and resource intensive. This paper presents a technique of development and porting of a fuzzy logic approximation PID controller (FLAC) in an automatic cruise control (ACC) system. ACC is a highly nonlinear process and its control is trivial due to the large change in parameters. Therefore, a suitable controller based on heuristic knowledge will be easy to develop and provide an effective solution. But the major problem with employing fuzzy logic controller (FLC) is its complexity. Moreover, the designing of Rulebase requires efficient heuristic knowledge about the system which is rarely found. Therefore, in this paper, a novel rule extraction process is used to derive a FLAC. This controller is then ported on a C6748 DSP hardware with timing and memory optimization. Later, it is seamlessly connected to a network to support remote reconfigurability. A performance analysis is drawn based on processor-in loop test with Simulink model of a cruise control system for vehicle.

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Hao, Bo, Fan Li, and Jian Hui Zhao. "Research of Trajectory Tracking Control of Cruise Missile Based on Observer." Applied Mechanics and Materials 184-185 (June 2012): 1599–602. http://dx.doi.org/10.4028/www.scientific.net/amm.184-185.1599.

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To achieve cruise missile accurate trajectory tracking control, an observer-based tracking control method is designed. An observer is developed to estimate the states and control signals of desired trajectory as the inputs of the tracking controller. The linear quadratic optimal control is used to realize full-state feedback control for trajectory tracking. A certain cruise missile is used for the tracking simulation and the result shows satisfactory performance, the control method is simple and suitable for engineering applications.

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Yang, Zengfu, Zengcai Wang, and Ming Yan. "An Optimization Design of Adaptive Cruise Control System Based on MPC and ADRC." Actuators 10, no. 6 (May 24, 2021): 110. http://dx.doi.org/10.3390/act10060110.

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In this paper, a novel adaptive cruise control (ACC) algorithm based on model predictive control (MPC) and active disturbance rejection control (ADRC) is proposed. This paper uses an MPC algorithm for the upper controller of the ACC system. Through comprehensive considerations, the upper controller will output desired acceleration to the lower controller. In addition, to increase the accuracy of the predictive model in the MPC controller and to address fluctuations in the vehicle’s acceleration, an MPC aided by predictive estimation of acceleration is proposed. Due to the uncertainties of vehicle parameters and the road environment, it is difficult to establish an accurate vehicle dynamic model for the lower-level controller to control the throttle and brake actuators. Therefore, feed-forward control based on a vehicle dynamic model (VDM) and compensatory control based on ADRC is used to enhance the control precision and to suppress the influence of internal or external disturbance. Finally, the proposed optimal design of the ACC system was validated in road tests. The results show that ACC with APE can accurately control the tracking of the host vehicle with less acceleration fluctuation than that of the traditional ACC controller. Moreover, when the mass of the vehicle and the slope of the road is changed, the ACC–APE–ADRC controller is still able to control the vehicle to quickly and accurately track the desired acceleration.

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Batayneh, Wafa, Omar Al-Araidah, Khaled Bataineh, and Adnan Al-Ghasem. "Fuzzy-Based Adaptive Cruise Controller with Collision Avoidance and Warning System." Mechanical Engineering Research 3, no. 1 (May 2, 2013): 143. http://dx.doi.org/10.5539/mer.v3n1p143.

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The paper presents a Fuzzy-based adaptive cruise control system with collision avoidance and collision warning (ACC/CA/CW). The proposed control scheme aims to improve driver's comfort while keeping him/her safe by avoiding possible collisions. Depending on inputs from both the driver and the installed sensors, the controller accelerates/decelerates the vehicle to keep its speed at the desired limit. In case of a possible collision, the controller decelerates (accelerates) the vehicle to prevent possible crash with the vehicle ahead (behind). Moreover, the controller issues visual and/or audio alerts for the driver in order to warn him/her in case of the need for applying an uncomfortable deceleration level and/or to warn the driver for risky situations where he/she might need to change the lane. Simulation results illustrate the robustness of the proposed system over various ranges of inputs.

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Zhou, Anye, Siyuan Gong, Chaojie Wang, and Srinivas Peeta. "Smooth-Switching Control-Based Cooperative Adaptive Cruise Control by Considering Dynamic Information Flow Topology." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 4 (March 10, 2020): 444–58. http://dx.doi.org/10.1177/0361198120910734.

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Vehicle-to-vehicle communications can be unreliable because of interference and information congestion, which leads to the dynamic information flow topology (IFT) in a platoon of connected and autonomous vehicles. Some existing studies adaptively switch the controller of cooperative adaptive cruise control (CACC) to optimize string stability when IFT varies. However, the difference of transient response between controllers can induce uncomfortable jerks at switching instances, significantly affecting riding comfort and jeopardizing vehicle powertrain. To improve riding comfort while maintaining string stability, the authors introduce a smooth-switching control-based CACC scheme with IFT optimization (CACC-SOIFT) by implementing a bi-layer optimization model and a Kalman predictor. The first optimization layer balances the probability of communication failure and control performance optimally, generating a robust IFT to reduce controller switching. The second optimization layer adjusts the controller parameters to minimize tracking error and the undesired jerk. Further, a Kalman predictor is applied to predict vehicle acceleration if communication failures occur. It is also used to estimate the states of preceding vehicles to suppress the measurement noise and the acceleration disturbance. The effectiveness of the proposed CACC-SOIFT is validated through numerical experiments based on NGSIM field data. Results indicate that the CACC-SOIFT framework can guarantee string stability and riding comfort in the environment of dynamic IFT.

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Tran, Gia Quoc Bao, Thanh-Phong Pham, Olivier Sename, Eduarda Costa, and Peter Gaspar. "Integrated Comfort-Adaptive Cruise and Semi-Active Suspension Control for an Autonomous Vehicle: An LPV Approach." Electronics 10, no. 7 (March 30, 2021): 813. http://dx.doi.org/10.3390/electronics10070813.

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This paper presents an integrated linear parameter-varying (LPV) control approach of an autonomous vehicle with an objective to guarantee driving comfort, consisting of cruise and semi-active suspension control. First, the vehicle longitudinal and vertical dynamics (equipped with a semi-active suspension system) are presented and written into LPV state-space representations. The reference speed is calculated online from the estimated road type and the desired comfort level (characterized by the frequency weighted vertical acceleration defined in the ISO 2631 norm) using precomputed polynomial functions. Then, concerning cruise control, an LPV H2 controller using a linear matrix inequality (LMI) based polytopic approach combined with the compensation of the estimated disturbance forces is developed to track the comfort-oriented reference speed. To further enhance passengers’ comfort, a decentralized LPV H2 controller for the semi-active suspension system is proposed, minimizing the effect of the road profile variations. The interaction with cruise control is achieved by the vehicle’s actual speed being a scheduling parameter for suspension control. To assess the strategy’s performance, simulations are conducted using a realistic nonlinear vehicle model validated from experimental data. The simulation results demonstrate the proposed approach’s capability to improve driving comfort.

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Zhang, Junhui, Qing Li, and Dapeng Chen. "Vehicle-to-vehicle based multi-objective coordinated adaptive cruise control considering platoon stability." Advances in Mechanical Engineering 10, no. 10 (October 2018): 168781401880271. http://dx.doi.org/10.1177/1687814018802719.

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Currently, there is a widespread concern over cooperative driving based on vehicle-to-vehicle communication due to its considerable potential to improve the increased traffic safety, efficiency, costs, and intellectualization. In this article, a multi-objective coordinated adaptive cruise control algorithm for a string of adaptive cruise control–equipped vehicles is thus proposed, which can comprehensively address issues regarding homogeneous/heterogeneous features, road capacity, in addition to driver desired response. The practical platoon stability of adaptive cruise control–equipped vehicles employing constant time headway spacing policy is investigated by taking into account the parasitic time delays of wireless communication modules and time lags of automotive actuators. The simulations show that the control algorithm utilizing model predictive control framework reaps significant benefits in terms of driver desired response, platoon stability as well as road capacity, while at the same time providing a reasonable proposal on the design of adaptive cruise control controller with better adaptability from the perspective of practical platoon stability.

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Santin, Ondrej, Jaroslav Pekar, Jaroslav Beran, Anthony D'Amato, Engin Ozatay, John Michelini, Steven Szwabowski, and Dimitar Filev. "Cruise Controller with Fuel Optimization Based on Adaptive Nonlinear Predictive Control." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 9, no. 2 (April 5, 2016): 262–74. http://dx.doi.org/10.4271/2016-01-0155.

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Chen, Xue-wen, Jin-guo Zhang, and Yan-jun Liu. "Research on the Intelligent Control and Simulation of Automobile Cruise System Based on Fuzzy System." Mathematical Problems in Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/9760653.

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In order to improve the active safety driving vehicle and alleviate the intension of driving fatigue, an intelligent control strategy of automobile cruise is put forward based on the throttle or braking pedal combined control adopting the fuzzy control theory. A fuzzy logic controller is presented, which consists of the two input variables, the deviation of the theoretical safe distance and relative distance and the relative velocity between the preceding vehicle and the cruise vehicle, and the single output variable, that is, the throttle opening or the braking pedal travel. Taking the test data of 1.6 L vehicle with auto-transmission as an example, the function on the intelligent cruise control system is simulated adopting MATLAB/Simulink aiming at different working conditions on the city road. The simulation results show that the control strategy possesses integrated capability of automated Stop & Go control, actively following the preceding vehicle on the conditions of keeping the safety distance and the constant velocity cruise. The research results can offer the theory and technology reference for setting dSPACE type and developing the integrated control product of automobile cruise system.

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Chen, Hao, and Hesham A. Rakha. "Battery Electric Vehicle Eco-Cooperative Adaptive Cruise Control in the Vicinity of Signalized Intersections." Energies 13, no. 10 (May 12, 2020): 2433. http://dx.doi.org/10.3390/en13102433.

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This study develops a connected eco-driving controller for battery electric vehicles (BEVs), the BEV Eco-Cooperative Adaptive Cruise Control at Intersections (Eco-CACC-I). The developed controller can assist BEVs while traversing signalized intersections with minimal energy consumption. The calculation of the optimal vehicle trajectory is formulated as an optimization problem under the constraints of (1) vehicle acceleration/deceleration behavior, defined by a vehicle dynamics model; (2) vehicle energy consumption behavior, defined by a BEV energy consumption model; and (3) the relationship between vehicle speed, location, and signal timing, defined by vehicle characteristics and signal phase and timing (SPaT) data shared under a connected vehicle environment. The optimal speed trajectory is computed in real-time by the proposed BEV eco-CACC-I controller, so that a BEV can follow the optimal speed while negotiating a signalized intersection. The proposed BEV controller was tested in a case study to investigate its performance under various speed limits, roadway grades, and signal timings. In addition, a comparison of the optimal speed trajectories for BEVs and internal combustion engine vehicles (ICEVs) was conducted to investigate the impact of vehicle engine types on eco-driving solutions. Lastly, the proposed controller was implemented in microscopic traffic simulation software to test its networkwide performance. The test results from an arterial corridor with three signalized intersections demonstrate that the proposed controller can effectively reduce stop-and-go traffic in the vicinity of signalized intersections and that the BEV Eco-CACC-I controller produces average savings of 9.3% in energy consumption and 3.9% in vehicle delays.

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He, Youguo, Xiaoxiao Tian, Jie Shen, Chaochun Yuan, and Yingkui Du. "Robust stabilization of longitudinal tracking for cooperative adaptive cruise control considering input saturation." Modern Physics Letters B 34, no. 35 (August 25, 2020): 2050409. http://dx.doi.org/10.1142/s0217984920504096.

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This paper is concerned with the problem of constraint control for cooperative adaptive cruise control (CACC) with input saturation and input-additive uncertainties. An integrated longitudinal kinematic model of CACC system including vehicle model and constant time headway is established taking into account input saturation and input-additive uncertainties. According to the system’s robustness requirements under input saturation, the saturation control method is introduced. In order to achieve robust global stabilization of the system, a low-gain state feedback control law is designed by using linear low-gain feedback and gain scheduling. Meanwhile, in order to avoid the saturation of the control system, the low gain parameter [Formula: see text] is introduced into the controller design. Finally, the simulation of homogeneous and heterogeneous platoons is carried out by MATLAB/Simulink, which verifies the feasibility and effectiveness of the designed controller. Compared with the SMC controller, saturation controller successfully suppresses the acceleration amplification in the process of propagation along the vehicle platoon, avoids actuator saturation and realizes the stability of CACC system.

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Hu, Zhaohui, and Dongbin Zhao. "Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (May 20, 2011): 351–56. http://dx.doi.org/10.20965/jaciii.2011.p0351.

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This paper proposes a Supervised Reinforcement Learning (SRL) algorithm for the Adaptive Cruise Control system (ACC) to comply with human driving habit, which can be thought of as a dynamic programming problem with stochastic demands. In short, the ACC problem can be deemed as the host vehicle adopting different control parameters (accelerations in the upper controller, brakes and throttles in the bottom controller) in the process of following or other driving situations according to the driver’s behavior. We discretize the relative speed as well as the relative distance to construct the two-dimensional states and map them to a one-dimensional state space; discretize the acceleration to generate the action set; and design additional speed improvement shaping reward and distance improvement shaping reward to construct the supervisor. We apply the SRL algorithm to the ACC problem in different scenarios. The results show the higher robustness and accuracy of the SRL control policy compared with traditional control methods.

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Gong, Siyuan, Anye Zhou, and Srinivas Peeta. "Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles considering Dynamic Information Flow Topology." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (May 15, 2019): 185–98. http://dx.doi.org/10.1177/0361198119847473.

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Vehicle-to-vehicle communications can be unreliable as interference causes communication failures. Thereby, the information flow topology (IFT) for a platoon of connected autonomous vehicles (CAVs) can vary dynamically. This limits existing cooperative adaptive cruise control (CACC) strategies as most of them assume a fixed IFT. To address this problem, a CACC scheme is introduced that considers a dynamic information flow topology (CACC-DIFT) for CAV platoons. An adaptive proportional-derivative (PD) controller under a two-predecessor-following IFT is proposed to attenuate the negative effects when communication failures occur. The parameters of the PD controller are determined to ensure the string stability of the platoon. Furthermore, the proposed PD controller also factors the performance of individual vehicles. Hence, when communication failure occurs, the system will switch to a certain type of CACC instead of degenerating to adaptive cruise control, which improves the platoon control performance considerably. The effectiveness of the proposed CACC-DIFT is validated through numerical experiments based on Next Generation Simulation (NGSIM) field data. Simulation results indicate that the proposed CACC-DIFT design outperforms CACC based on a predetermined information flow topology.

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Zhu, Yuanheng, Haibo He, and Dongbin Zhao. "LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control." IEEE Transactions on Intelligent Transportation Systems 21, no. 11 (November 2020): 4516–25. http://dx.doi.org/10.1109/tits.2019.2935510.

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Xiao, Di, Li Li, Ping Fei Li, and Jing Su. "Modeling and Co-Simulation of Stop and Go Cruise Control System." Advanced Materials Research 945-949 (June 2014): 1486–92. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1486.

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Vehicle stop and go frequently can cause driver fatigue, even traffic accidents. In order to mitigate driver fatigue and the risk of rear-end collision accidents, a set of hierarchical vehicle stop and go cruise control system(S&G) was established. A vehicle dynamics model was created with Carsim, the determination of safety distance was based on headway method. Then upper controller and lower controller were designed separately based on optimal control and fuzzy PID control principle. Finally, a simulation loop was built in Simulink. Through a co-simulation conducted under typical S&G driving condition, got speed change curves,acceleration change curves and relative distance change curves of host vehicle while following the target vehicle. The results show that the S&G system designed can make host vehicle well follow the speed change of leading vehicle while keeping an appropriate safety distance, stop and go automatically, reduce driver fatigue and improve vehicle active safety.

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Cuesta, Ricardo, Joaquín Alvarez, and Manuel Miranda. "Robust Tracking and Cruise Control of a Class of Robotic Systems." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/728412.

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This paper presents a controller for a class of robotic systems, based on a first-order sliding mode with a particular noninvariant, nonconnected surface. With this control it is possible to regulate the position such that the velocity remains, as long as possible, at a specified value until the system is close to the desired position. The properties inherited from the sliding modes make the control exhibit a high robustness to external perturbations and low sensitivity to system parameter variations. It is shown that the desired speed is reached in a finite time and the system converges exponentially to the desired position. This controller can be applied to systems described by a classical model of a fully actuated,n-DOF mechanical system, which could be decoupled via a preliminary decoupling control. To illustrate the theoretical results, the proposed control technique is applied to a Cartesian robot, simulated numerically. Moreover, to show the effectiveness of this strategy, some physical experiments on a rotational (mechanical) device were performed.

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Zhang, Sheng, and Xiangtao Zhuan. "Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle Considering Weight Adjustment." Symmetry 11, no. 12 (December 13, 2019): 1516. http://dx.doi.org/10.3390/sym11121516.

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This paper studies control strategies for adaptive cruise control (ACC) systems in battery electric vehicles (BEVs). A hierarchical control structure is adopted for the ACC system, and the structure contains an upper controller and a lower controller. This paper focuses on the upper controller. In the upper controller, model predictive control (MPC) is applied for optimizing multiple objectives in the car-following process. In addition, multiple objectives, including safety, tracking, comfort, and energy economy, can be transformed into a symmetric objective function with constraints in MPC. In the objective function, the corresponding weight matrix for the optimization of multiple objectives is implemented in symmetric form to reduce the computational complexity. The weights in the weight matrix are usually set to be constant. However, the motion states of the own vehicle and the front vehicle change with respect to time during a car-following process, resulting in variation of the driving conditions. MPCs with constant weights do not adapt well to changes in driving conditions, which limits the performance of the ACC system. Therefore, a strategy for weight adjustment is proposed in order to improve the tracking performance, in which some weights in MPC can be adjusted according to the relative velocity of two vehicles in real time. The simulation experiments are carried out to demonstrate the effectiveness of the strategy for weight adjustment. Based on achieving the other control objectives, the ACC system with the weight adjustment has better tracking performance than the ACC system with the constant weight. While the tracking is improved, the energy economy is also improved.

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Lian, Cheng Bin, Chen Bai, Zhang Ren, and Xing Yue Shao. "Hypersonic Cruise Vehicle Attitude Control Based on NESO." Applied Mechanics and Materials 427-429 (September 2013): 913–20. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.913.

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Hypersonic cruise vehicles traverse abroad flight envelope, severe interference and aerodynamic parameters of great uncertainty. Aiming at these problems, the attitude control system is divided into two first-order subsystem based on the backstepping, which improved by introducing the command filter and the error signal correction. simplifies the solution of pseudo control of derivative, and considering the attenuation and noise on the system state. The aerodynamic parameters wide variation range and disturbances were classified into two subsystems uncertainties, and two sets of nonlinear extended state observer (NESO) were used to estimate them. The backstepping controller based on NESO was designed with combined estimated value and backstepping method. Additionally used fuzzy logic to tuning the NESO parameters. Simulation results show that the method can track the control signal accurately, and has good robustness against parameter uncertainty.

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Journal articles on the topic 'Cruise Controller'

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