Relevant bibliographies by topics / Cruise Controller

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cruise Controller'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Cruise Controller"

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Hällerstam, Jonsson Linnea. "Fuel optimizing cruise controller with driveability." Thesis, KTH, Optimeringslära och systemteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209680.

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This thesis work is based on a dynamic programming solution of a fuel optimizing cruise controller that was developed at Scania CV AB last year. Known data of the road ahead, mainly the slope, is used to continuously calculate the optimal torque and gear choices of a given moving vehicle for a certain horizon. The optimization calculations are based on fuel consumption and the vehicle's arrival time to the final destination. This report has been focused on achieving better "driveability" of the cruise controller while still maintaining the good fuel saving qualities that is already there. Simulation is used to evaluate the cruise controller on roads where the wanted data is known. The result is smaller speed variations on at road segments, which will improve a driver's impression of the cruise controller. The great fuel benefits of using roll-techniques in hilly areas is maintained from the previous implementation. The key to the optimal balance between these two behaviors is found using a method that limits the torque usage of the truck to a certain speed interval and then finds exception areas where the torque usage should be unlimited.
Detta examensarbete är baserad på en dynamisk programmeringslösning av en bränsleoptimerande farthållare som utvecklades på Scania CV AB förra året. Känd data om den framförvarande vägen, så som lutningen, används för att beräkna optimalt drivmoment och växelval för ett givet fordon för en viss horizont. Optimeringsberäkningarna baseras på bränsleförbrukning och fordonets ankomsttid till målet. Denna rapport focuserar på att uppnå bättre "körbarhet" för farthållaren och samtidigt behålla de goda bränslebesparande egenskaper som farthållaren redan har. Simulering nyttjas för att analysera farthållaren på vägar där önskad data är känd. Resultatet är mindre hastighetsvariationer på platta vägar, vilket bör förbättra förarens uppfattning av farthållaren. De stora fördelar som kommer med användning av rull-tekniker på kuperade vägsträckor bevaras från den tidigare implementeringen. Nyckeln till optimal balans mellan dessa två körbeteenden är en metod som går ut på att begränsa fordonets momentanvändning till ett visst hastighetsinterval och sedan hitta undantagsområden där momentanvändning borde vara obegränsad.
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Ali, Zeeshan. "Transitional controller design for adaptive cruise control systems." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/11977/.

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Traffic congestion is an important reason for driver frustration which in turn is the main cause of human errors and accidents. Statistics reports have shown that over 90% of accidents are caused by human errors. Therefore, it is vital to improve vehicle controls to ensure adequate safety measures in order to decrease the number of accidents or to reduce the impact of accidents. An application of mathematical control techniques to the longitudinal dynamics of a vehicle equipped with an adaptive cruise control (ACC) system is presented. This study is carried out for the detailed understanding of a complex ACC vehicle model under critical transitional manoeuvres (TMs) in order to establish safe inter-vehicle distance with zero range-rate (relative velocity) behind a preceding vehicle. TMs are performed under the influence of internal complexities from vehicle dynamics and within constrained operation boundaries. The constrained boundaries refer to the control input, states, and collision avoidance constraints. The ACC vehicle is based on a nonlinear longitudinal model that includes vehicle inertial and powertrain dynamics. The overall system modelling includes: complex vehicle models, engine maps construction, first-order vehicle modelling, controllers modelling (upper-level and lower-level controllers for ACC vehicles). The upper-level controller computes the desired acceleration commands for the lower-lever controller which then provides the throttle/brake commands for the complex vehicle model. An important aspect of this study is to compare four control strategies: proportional-integral-derivative; sliding mode; constant-time-gap; and, model predictive control for the upper-level controller analysis using a first-order ACC vehicle model. The first-order model represents the lags in the vehicle actuators and sensor signal processing and it does not consider the dynamic effects of the vehicle’s sub-models. Furthermore, parameter analyses on the complex ACC vehicle for controller and vehicle parameters have been conducted. The comparison analysis of the four control strategies shows that model predictive control (MPC) is the most appropriate control strategy for upper-level control because it solves the optimal control problem on-line, rather than off-line, for the current states of the system using the prediction model, at the same time being able to take into account operation constraints. The analysis shows that the complex ACC vehicle can successfully execute TMs, tracking closely the desired acceleration and obeying the constraints, whereas the constraints are only applied in the MPC controller formulation. It is found that a higher length of the prediction horizon should be used for a closed acceleration tracking. The effect of engine and transmission dynamics on the MPC controller and ACC vehicle performance during the gear shifting is studied. A sensitivity analysis for MPC controller and vehicle parameters indicates that a length of the control horizon that is too high can seriously disturb the vehicle behaviour, and this disturbance can be only removed if a higher value of control input cost weighting is used. Furthermore, the analysis indicates that a mass within the range of 1400-2000 kg is suitable for the considered ACC vehicle. It is recommended that a variable headway time should be used for the spacing control between the two vehicles. It is found that the vehicle response is highly sensitive to the control input cost weighting; a lower value (less than one) can lead to a highly unstable vehicle response. It is recommended that the lower-level controller must take into account the road gradient information because the complex ACC vehicle is unable to achieve the control objectives while following on a slope. Based on the results, it is concluded that a first-order ACC vehicle model can be used for the controller design, but it is not sufficient to capture the complex vehicle dynamic response. Therefore, a complex vehicle model should be of use for the detailed ACC vehicle analysis. In this research study the first-order ACC vehicle model is used for the complex vehicle validation, whereas the complex ACC vehicle model can be used for the experimental validation in future work.
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Shakouri, Payman. "Designing of the adaptive cruise control system-switching controller." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/22970/.

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Over the recent years, a considerable growth in the number of vehicles on the roads has been observed. This increases importance of vehicle safety and of minimization of fuel consumption, subsequently prompting manufacturers of cars to equip their products, with more advanced features such as Adaptive Cruise Control (ACC) and Collision Avoidance and Collision Warning System (CWS). In this thesis we concentrate on new methods for ACC. This work will include: Design of the simulation models suitable for this application, Investigation and design of suitable hybrid control algorithm by using classical and advanced control algorithm's consisting of the gain scheduling PI and Linear Quadratic (LQ) controllers, Design of the Nonlinear Model Predictive Control (NMPC) and the nonlinear Balance-Based Adaptive Control (B-BAC), Real-time implementation and tests of the algorithms by using NI Lab View Starter Kit Robot from National Instruments, Implementation and tests of the models and the controllers in MA TLAB/Simulink(R). The applications of the different control methods in the ACC are tested and compared against different traffic scenarios considering both velocity tracking (CC) and distance tracking (ACC) modes. Judging about the performance of ACC by utilizing the two advanced control methods; B-BAC and NMPC includes trade-offs between tracking-distance and velocity and the vehicle acceleration. However, both the B-BAC and the NMPC has demonstrated significantly smoother responses in controlling the throttle and the brake compared to PI control and linear MPC which in tum could improve the vehicle acceleration and fuel efficiency. The methods in order of producing better performance in terms of the values of control errors and their influences on fuel saving; NMPC, B-BAC, linear MPC and PI control. Improvement of fuel efficiency is investigated in this thesis through two approaches; first, by calculating the optimal control actions corresponding to the throttle and the brake signals through utilising the advanced control methods, second, by reducing the engine speed to idle speed during coast phase of the vehicle which causes the engine friction to be reduced. The engine speed can be reduced through transition between locked and unlocked states of the torque convertor. Possibility of achieving fuel efficiency through coasting in the vehicle has been investigated in the simulation and it has been demonstrated that longer coasting duration could be achieved i.e. more distance can be covered, and the fuel efficiency could be improved.
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Riis, Pontus. "Simulation of a Distributed Implementation of an Adaptive Cruise Controller." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9357.

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Much functionality of today's vehicles runs as software on embedded computer systems. This includes, for example, automatic climate control and engine control.

As the processors necessarily are located in diffent physical locations inside the vehicle wires must be drawn between processors that need to communicate. Therefore, it is typical to have one or several buses connecting the processors in an embedded computer network, thus creating a distributed system. As some parts of the system in the car have real-time properties, it is necessary to validate that the real-time properties are upheld in the distributed system.

This thesis presents the design and implementation of an adaptive cruise controller (ACC), which is a cruise controller that also keeps a minimum distance to the closest vehicle in front. Further, the performance of the ACC has been evaluated using an existing system-level simulator for distributed real-time systems together with metrics for Quality-of-Control (QoC).

The ACC has then been simulated under different scenarios. The scenarios include outside conditions, for example the slope of the road, the behaviour of the vehicle in front, and the desired velocity, as well as internal conditions as adding different amounts of extra load on the processors and the bus.

The results show that the functionality of the ACC starts deteriorating when the extra load on the nodes reaches high levels. When the extra load reaches very high levels, the ACC stops functioning completely. The results also show that the extra load on the bus has very little effect on the performance of the ACC.

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Grefe, William Kevin. "Integrating Collision Avoidance, Lane Keeping, and Cruise Control With an Optimal Controller and Fuzzy Controller." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32142.

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This thesis presents collision avoidance integrated with lane keeping and adaptive cruise control for a car. Collision avoidance is the ability to avoid obstacles that are in the vehicleâ s path, without causing damage to the obstacle or car. There are three types of collision avoidance controllers, passive, active, and semi-active. This thesis is designed using active collision avoidance controllers.

There are two controllers developed for collision avoidance in this paper. They are an optimal controller and a fuzzy controller. The optimal vehicle trajectory, which maximizes the distance to an obstacle and changes lanes, is derived. The optimal collision avoidance controller is a closed loop controller; with the decisions based on the current state. The fuzzy controller makes decisions based on the system rules. A simulation environment was created to compare these two controllers as viable solutions for collision avoidance.

The environment uses MATLAB/Simulink for simulation of the vehicle as well as the optimal and fuzzy controllers. The simulation incorporates system blocks of the kinematics of a car, navigation, states, control law, and velocity controller. Once the controllers are fully developed and tested in the simulation environment, they are implemented and tested on the platform vehicle. This verifies the real world performance of the controllers.

The platform vehicle is a modified radio controlled car. This car is completely autonomous. The car has onboard sensors that allow it to follow a white piece of tape as well as detect obstacles.
Master of Science

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Huang, Shih-Ying. "Analysis of a time delay controller based on convolutions, with application to a cruise control system." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/41324.

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Zohdy, Ismail Hisham. "Development and Testing Of The iCACC Intersection Controller For Automated Vehicles." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51743.

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Assuming that vehicle connectivity technology matures and connected vehicles hit the market, many of the running vehicles will be equipped with highly sophisticated sensors and communication hardware. Along with the goal of eliminating human distracted driving and increasing vehicle automation, it is necessary to develop novel intersection control strategies. Accordingly, the research presented in this dissertation develops an innovative system that controls the movement of vehicles using cooperative cruise control system (CACC) capabilities entitled: iCACC (intersection management using CACC). In the iCACC system, the main assumption is that the intersection controller receives vehicle requests from vehicles and advises each vehicle on the optimum course of action by ensuring no crashes occur while at the same time minimizing the intersection delay. In addition, an innovative framework has been developed (APP framework) using the iCACC platform to prioritize the movements of vehicles based on the number of passengers in the vehicle. Using CACC and vehicle-to-infrastructure connectivity, the system was also applied to a single-lane roundabout. In general terms, this application is considered quite similar to the concept of metering single-lane entrance ramps. The proposed iCACC system was tested and compared to three other intersection control strategies, namely: traffic signal control, an all-way stop control (AWSC), and a roundabout, considering different traffic demand levels ranging from low to high levels of congestion (volume-to-capacity ration from 0.2 to 0.9). The simulated results showed savings in delay and fuel consumption in the order of 90 to 45 %, respectively compared to AWSC and traffic signal control. Delays for the roundabout and the iCACC controller were comparable. The simulation results showed that fuel consumption for the iCACC controller was, on average, 33%, 45% and 11% lower than the fuel consumption for the traffic signal, AWSC and roundabout control strategies, respectively. In summary, the developed iCACC system is an innovative system because of its ability to optimize/model different levels of vehicle automation market penetrations, weather conditions, vehicle classes/models, shared movements, roundabouts, and passenger priority. In addition, the iCACC is capable of capturing the heterogeneity of roadway users (cyclists, pedestrians, etc.) using a video detection technique developed in this dissertation effort. It is anticipated that the research findings will contribute to the application of automated systems, connected vehicle technology, and the future of driverless vehicle management. Finally, the public acceptability of the new advanced in-vehicle technologies is a challenging task and this research will provide valuable feedback for researchers, automobile manufacturers, and decision makers in making the case to introduce such systems.
Ph. D.
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Mancino, Francesco. "An embedded model predictive controller for optimal truck driving." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205649.

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An embedded model predictive controller for velocity control of trucks is developed and tested. By using a simple model of a heavy duty vehicle and knowledge about the slope of the road ahead, the fuel consumption while traveling near a set speed is diminished by almost 1% on an example road compared to a rule based speed control system. The problem is formulated as a look-ahead optimization problem were fuel consumption and total trip time have to be minimized. To find the optimal solution dynamic programming is used, and the whole code is designed to run on a Scania gearbox ECU in parallel with all the current software. Simulations were executed in a Simulink environment, and two test rides were performed on the E4 motorway.
En algoritm för hastighetsstyrning baserad på modell-prediktiv reglering har utvecklats och testats på befintlig styrsystem i ett Scania lastbil. Genom att använda en enkel modell av fordonet och kunskap om lutningen på vägen framför den kunde man sänka bränsleförbrukningen med nästan 1% i vissa sträckor, jämfört med en regelbaserad farthållare. Problemet är formulerat som en optimerings-problem där bränsleförbrukning och total restid måste minimeras. För att hitta den optimala lösningen användes dynamisk programmering och hela koden är skriven så att den kan exekveras på en Scania styrenehet. Koden är kan köras parallellt med den mjukvara som är installerad på styrenheten. Simuleringar utfördes i en miljö utvecklad i Simulink. Två test-körningar på E4 motorvägen utfördes.
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Holma, Erik. "Data Requirements for a Look-Ahead System." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10197.

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Look ahead cruise control deals with the concept of using recorded topographic road data combined with a GPS to control vehicle speed. The purpose of this is to save fuel without a change in travel time for a given road. This thesis explores the sensitivity of different disturbances for look ahead systems. Two different systems are investigated, one using a simple precalculated speed trajectory without feedback and the second based upon a model predictive control scheme with dynamic programming as optimizing algorithm.

Defect input data like bad positioning, disturbed angle data, faults in mass estimation and wrong wheel radius are discussed in this thesis. Also some investigations of errors in the environmental model for the systems are done. Simulations over real road profiles with two different types of quantization of the road slope data are done. Results from quantization of the angle data in the system are important since quantization will be unavoidable in an implementation of a topographic road map.

The results from the simulations shows that disturbance of the fictive road profiles used results in quite large deviations from the optimal case. For the recorded real road sections however the differences are close to zero. Finally conclusions of how large deviations from real world data a look ahead system can tolerate are drawn.

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Hitchings, Mark R., and n/a. "Distance and Tracking Control for Autonomous Vehicles." Griffith University. School of Microelectronic Engineering, 1999. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050902.084155.

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The author's concept of the distance and tracking control problem for autonomous vehicles relates to the cooperative behaviour of two successive vehicles travelling in the same environment. This behaviour requires one vehicle, designated the leader to move autonomously around it's environment with other vehicles, designated followers maintaining a coincident travel path and desired longitudinal distance with respect to the leader. Distance and tracking control is beneficial in numerous applications including guiding autonomous vehicles in Intelligent Transport Systems (ITS) which increases traffic safety and the capacity of pre-existing road infrastructure. Service robotics may also benefit from the cost savings and flexibility offered by distance and tracking control which enables a number of robots to cooperate together in order to achieve a task beyond the capabilities ofjust one robot. Using a distance and tracking control scheme an intelligent leader robot may guide a number of less intelligent (and therefore less costly and less complex) followers to a work-site to perform a task. The author's approach to the distance and tracking control problem consisted of two separate solutions - an initial solution used as a starting point and learning experience and a second, more robust, fuzzy control-based solution. This thesis briefly describes the initial solution, but places a greater emphasis on the second solution. The reason for this is that the fuzzy control-based solution offers significant improvement on the initial solution and was developed based on conclusions drawn from the initial solution. Most implementations of distance and tracking control, sometimes referred to as Intelligent Cruise Control (ICC) or platooning, are limited to longitudinal distance control only. The leader tracking control is performed either implicitly by a separate lane-following control system or by human drivers. The fuzzy control-based solution offered in this thesis performs both distance and tracking control of an autonomous follower vehicle with respect to a leader vehicle in front of it. It represents a simple and cost effective solution to the requirements of autonomous vehicles operating in ITS schemes - particularly close formation platooning. The follower tracks a laser signal emitted by the leader and monitors the distance to the follower at the same time using ultrasonic ranging techniques. The follower uses the data obtained from these measuring techniques as inputs to a fuzzy controller algorithm to adjust its distance and alignment with respect to the leader. Other systems employed on road vehicles utilise video-based leader tracking, or a range of lane-following methods such as magnetometer or video-based methods. Typically these methods are disadvantaged by substantial unit and/or infrastructure costs associated with their deployment. The limitations associated with the solutions presented in this thesis arise in curved trajectories at larger longitudinal distance separations between vehicles. The effects of these limitations on road vehicles has yet to be fully quantified, however it is thought that these effects would not disadvantage its use in close formation platooning. The fuzzy control-based distance and tracking control solution features two inputs, which are the distance and alignment of the follower with respect to the leader. The fuzzy controller asserts two outputs, which are left and right wheel velocities to control the speed and trajectory of a differential drive vehicle. Each of the input and output fuzzy membership functions has seven terms based around lambda, Z-type and S-type functions. The fuzzy rule base consists of 49 rules and the fuzzy inference stage is based on the MAX/MIN method. A Centre of Maximum (CoM) def'uzzification method is used to provide the two crisp valued outputs to the vehicle motion control. The methods chosen for the fuzzy control of distance and tracking for autonomous vehicles were selected based on a compromise between their computational complexity and performance characteristics. This compromise was necessary in order to implement the chosen controller structure on pre-existing hardware test beds based on an 8-bit microcontrollers with limited memory and processing resources. Overall the fuzzy control-based solution presented in this thesis effectively solves the distance and tracking control problem. The solution was applied to differential drive hardware test-beds and was tested to verify performance. The solution was thoroughly tested in both the simulation environment and on hardware test-beds. Several issues are identified in this thesis regarding the application of the solution to other platforms and road vehicle use. The solution will be shown to be directly portable to service robotics applications and, with minor modifications, applicable to road vehicle close-formation platooning.
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Books on the topic "Cruise Controller"

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D, Mooney Walter, ed. Exploring the Earth's crust: History and results of controlled-source seismology. Boulder, Colo: Geological Society of America, 2011.

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Tom, Badgett, ed. Official Sega Genesis and Game Gear strategies, 2ND Edition. Toronto: Bantam Books, 1991.

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Sandler, Corey. Official Sega Genesis and Game Gear strategies, 3RD Edition. New York: Bantam Books, 1992.

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Ziolkowski, Anton, and Evert Slob. Introduction to Controlled-Source Electromagnetic Methods: Detecting Subsurface Fluids. Cambridge University Press, 2019.

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Official Sega Genesis and Game Gear Strategies, '94 Edition. New York, NY: Random House, Electronic Publishing, 1993.

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Book chapters on the topic "Cruise Controller"

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Krupp, Alexander, Ola Lundkvist, Tim Schattkowsky, and Colin Snook. "The Adaptive Cruise Controller Case Study." In UML-B Specification for Proven Embedded Systems Design, 199–210. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4020-2867-0_12.

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Jreijiry, Jessica, and Mohamad Khaldi. "An Event-Driven Adaptive Cruise Controller." In Trends in Applied Knowledge-Based Systems and Data Science, 983–94. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42007-3_83.

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Kuyumcu, Arden, and Neslihan Serap Şengör. "Effect of Neural Controller on Adaptive Cruise Control." In Artificial Neural Networks and Machine Learning – ICANN 2016, 515–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44781-0_61.

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Li, Xiaoliang, Xudong Zhang, Yuan Zou, Tao Zhang, and Shouyang Wei. "A Research on the Adaptive Cruise Controller for Electric Bus." In Lecture Notes in Electrical Engineering, 415–32. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9718-9_31.

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Lian, Chengbin, Liubao Shi, Zhang Ren, and Xingyue Shao. "Fuzzy Sliding Mode Variable Structure Controller for Hypersonic Cruise Vehicle." In Communications in Computer and Information Science, 137–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34381-0_16.

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Alonso, Luciano, Juan Pérez-Oria, Mónica Fernández, Cristina Rodríguez, Jesús Arce, Manuel Ibarra, and Víctor Ordoñez. "Genetically Tuned Controller of an Adaptive Cruise Control for Urban Traffic Based on Ultrasounds." In Artificial Neural Networks – ICANN 2010, 479–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15822-3_58.

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Tittgemeyer, Marc, Trond Ryberg, Friedemann Wenzel, and Karl Fuchs. "Heterogeneity of the Uppermost Mantle Inferred From Controlled-Source Seismology." In Heterogeneity in the Crust and Upper Mantle, 281–97. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0103-9_11.

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Amézquita, Lucio, Oscar Castillo, José Soria, and Prometeo Cortes-Antonio. "Optimization of Membership Function Parameters for Fuzzy Controllers in Cruise Control Problem Using the Multi-verse Optimizer." In Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 15–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68776-2_2.

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Bridgwater, D., M. Rosing, L. Schiøtte, and H. Austrheim. "The Effect of Fluid-Controlled Element Mobility During Metamorphism on Whole Rock Isotope Systems, Some Theoretical Aspects and Possible Examples." In Fluid Movements — Element Transport and the Composition of the Deep Crust, 277–98. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0991-5_24.

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Rønningsen, Hans Petter. "Yield Stress Measurements on Waxy North Sea Crude Oils with Controlled Stress Rheometer and Model Pipeline." In Third European Rheology Conference and Golden Jubilee Meeting of the British Society of Rheology, 410–12. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0781-2_140.

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Conference papers on the topic "Cruise Controller"

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Asere, Hassan, Chengwei Lei, and Ruting Jia. "Cruise Control Design Using Fuzzy Logic Controller." In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2015. http://dx.doi.org/10.1109/smc.2015.386.

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Kianfar, Roozbeh, Paolo Falcone, and Jonas Fredriksson. "Reachability analysis of cooperative adaptive cruise controller." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338839.

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Barnes, David, Jared Folden, Hwan-Sik Yoon, and Paulius Puzinauskas. "Scalable Simulation Environment for Adaptive Cruise Controller Development." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1359.

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Ganji, Behnam, Abbas Z. Kouzani, Sui Yang Khoo, and Mojdeh Nasir. "A sliding-mode-control-based adaptive cruise controller." In 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6870952.

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Pradhan, Rosy, and Bibhuti Bhusan Pati. "Optimal FOPID Controller for an Automobile Cruise Control System." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008957.

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Dlugosz, Marek, and Guangming Zhang. "Full state proportional controller for Adaptive Cruise Control System." In 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2019. http://dx.doi.org/10.1109/mmar.2019.8864623.

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Lin, Qin, Sicco Verwer, and John Dolan. "Safety Verification of a Data-driven Adaptive Cruise Controller." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304710.

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Osman, Khairuddin, Mohd Fuaad Rahmat, and Mohd Ashraf Ahmad. "Modelling and controller design for a cruise control system." In Its Applications (CSPA). IEEE, 2009. http://dx.doi.org/10.1109/cspa.2009.5069228.

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Mishra, Ambuj, and Subir K. Roy. "Towards formal verification of adaptive cruise controller using SpaceEx." In 2016 International Conference on VLSI Systems, Architectures, Technology and Applications (VLSI-SATA). IEEE, 2016. http://dx.doi.org/10.1109/vlsi-sata.2016.7593042.

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Lin, Qin, Sicco Verwer, and John Dolan. "Safety Verification of a Data-driven Adaptive Cruise Controller." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304710.

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Reports on the topic "Cruise Controller"

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Berndt, Christian. RV SONNE Fahrtbericht / Cruise Report SO277 OMAX: Offshore Malta Aquifer Exploration, Emden (Germany) – Emden (Germany), 14.08. – 03.10.2020. GEOMAR Helmholtz Centre for Ocean Research Kiel, January 2021. http://dx.doi.org/10.3289/geomar_rep_ns_57_20.

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Abstract:
SO277 OMAX served two scientific projects. The objectives of the first project, SMART, were to develop multi-disciplinary methodologies to detect, quantify, and model offshore groundwater reservoirs in regions dominated by carbonate geology such as the Mediterranean Sea. To this end we acquired controlled-source electromagnetic, seismic, hydroacoustic, geochemical, seafloor imagery data off Malta. Preliminary evaluation of the geophysical data show that there are resisitivity anomalies that may represent offshore freshwater aquifers. The absence of evidence for offshore springs means that these aquifers would be confined and that it will be difficult to use them in a sustainable manner. The objective of the second project, MAPACT-ETNA, is to monitor the flank of Etna volcano on Sicily which is slowly deforming seaward. Here, we deployed six seafloor geodesy stations and six ocean bottom seismometers for long-term observation (1-3 years). In addition, we mapped the seafloor off Mt. Etna and off the island of Stromboli to constrain the geological processes that control volcanic flank stability.
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