Journal articles: 'Vehicle Control System'

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Gaikwad, Anand, Shreya Shreya, and Shivani Patil. "Vehicle Density Based Traffic Control System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 511–14. http://dx.doi.org/10.31142/ijtsrd10938.

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Mahdinia, Iman, Ramin Arvin, Asad J. Khattak, and Amir Ghiasi. "Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 6 (May 31, 2020): 253–67. http://dx.doi.org/10.1177/0361198120918572.

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Connected and automated vehicle technologies have the potential to significantly improve transportation system performance. In particular, advanced driver-assistance systems, such as adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC), may lead to substantial improvements in performance by decreasing driver inputs and taking over control of the vehicle. However, the impacts of these technologies on the vehicle- and system-level energy consumption, emissions, and safety have not been quantified in field tests. The goal of this paper is to study the impacts of automated and cooperative systems in mixed traffic containing conventional, ACC, and CACC vehicles. To reach this goal, experimental data based on real-world conditions are collected (in tests conducted by the Federal Highway Administration and the U.S. Department of Transportation) with presence of ACC, CACC, and conventional vehicles in a vehicle platoon scenario and a cooperative merging scenario. Specifically, a platoon of five vehicles with different vehicle type combinations is analyzed to generate new knowledge about potential safety, energy efficiency, and emission improvement from vehicle automation and cooperation. Results show that adopting the CACC system in a five-vehicle platoon substantially reduces the driving volatility and reduces the risk of rear-end collision which consequently improves safety. Furthermore, it decreases fuel consumption and emissions compared with the ACC system and manually-driven vehicles. Results of the merging scenario show that while the cooperative merging system slightly reduces the driving volatility, the fuel consumption and emissions can increase because of sharper accelerations of CACC vehicles compared with manually-driven vehicles.

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Shet, Raghavendra M. "Fault Tolerant Control System for Autonomous Vehicle: A Survey." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 813–30. http://dx.doi.org/10.5373/jardcs/v12sp8/20202585.

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Suda, Yoshihiro. "1K11 Vehicle System Dynamics and Control for Sustainable Transportation." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1K11–1_—_1K11–15_. http://dx.doi.org/10.1299/jsmemovic.2010._1k11-1_.

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Yamazaki, Ichiro. "Vehicle vibration control system." Journal of the Acoustical Society of America 98, no. 1 (July 1995): 25. http://dx.doi.org/10.1121/1.413713.

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Ju, Chanyoung, and Hyoung Il Son. "A distributed swarm control for an agricultural multiple unmanned aerial vehicle system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 10 (February 21, 2019): 1298–308. http://dx.doi.org/10.1177/0959651819828460.

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In this study, we propose a distributed swarm control algorithm for an agricultural multiple unmanned aerial vehicle system that enables a single operator to remotely control a multi-unmanned aerial vehicle system. The system has two control layers that consist of a teleoperation layer through which the operator inputs teleoperation commands via a haptic device and an unmanned aerial vehicle control layer through which the motion of unmanned aerial vehicles is controlled by a distributed swarm control algorithm. In the teleoperation layer, the operator controls the desired velocity of the unmanned aerial vehicle by manipulating the haptic device and simultaneously receives the haptic feedback. In the unmanned aerial vehicle control layer, the distributed swarm control consists of the following three control inputs: (1) velocity control of the unmanned aerial vehicle by a teleoperation command, (2) formation control to obtain the desired formation, and (3) collision avoidance control to avoid obstacles. The three controls are input to each unmanned aerial vehicle for the distributed system. The proposed algorithm is implemented in the dynamic simulator using robot operating system and Gazebo, and experimental results using four quadrotor-type unmanned aerial vehicles are presented to evaluate and verify the algorithm.

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Men, Yu Zhuo, Hai Bo Yu, Xian Sheng Li, and Yue Wei Li. "Control Strategy of Vehicle Suspension Damping System Based on MATLAB." Applied Mechanics and Materials 253-255 (December 2012): 2117–20. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.2117.

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In order to study the impact of the suspension damping system on the vehicle riding stability, the PID controlling means for suspension damped neural network is presented, implementing a closed-loop control of yaw stability for vehicles. For the two typical working conditions of single lane changing and step steering, the MATLAB software is used for simulation. The result shows that controlling over the vehicle’s lateral deviation movement through suspension damper, it can reduce significantly the load transfers of both the left wheels and right wheels, so that to effectively restrain a vehicle’s over-steering.

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Kulkarni, Swarup Suresh, and Dr Roshani Ade. "Intelligent Traffic Control System Implementation for Traffic Violation Control, Congestion Control and Stolen Vehicle Detection." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 5, no. 2 (July 6, 2017): 57. http://dx.doi.org/10.3991/ijes.v5i2.7230.

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<p>Traffic is significant issue in our nation, particularly in urban ranges. Aftereffect of this, activity clog issue happens. Crisis vehicle like rescue vehicle, fire unit, squad cars confront bunches of issue to achieve their goal on account of congested driving conditions, coming about loss of human lives. To minimize this issue we approach new idea name as ”Traffic control framework for blockage control and stolen Vehicle location”. In this framework activity freedom done by transforming Red flag into Green flag. We demonstrate idea of what is called ”Green wave”. Alongside this, we distinguish stolen vehicle by utilizing extremely advantageous RFID innovation. In the event that stolen vehicle is been distinguished, the framework gives ready sign through ringer. Framework sends Message with the assistance of GSM to Police station. In this framework we Use diverse RFID labels for recognizing rescue vehicle, stolen Vehicles. On the off chance that Red flag is on and IR sensor is initiated, then framework gives ringer alarm to movement police. This is novel framework which encourage great answer for comprehend traffic clog.</p>

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James, Jesline, and S. Vasanthadev Suryakala. "Advanced vehicle security control and accident alert system." International Journal of Engineering & Technology 7, no. 2.8 (March 19, 2018): 404. http://dx.doi.org/10.14419/ijet.v7i2.8.10679.

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Vehicles are becoming smarter by the combining of greater power to compute connectivity solutions and the improvement in software visions. In modern vehicles automotive designs are interfaced with these features. This particular design includes keyless entry system and immobilizer system as the main weapons to prevent the vehicle theft. But these type of systems provide or detect the unauthorized access of vehicles to a measurable limit only. These security frameworks have straightforward also, lacking nature. So car burglary has been a persevering issue far and wide and a greater test from the profficient criminals. This paper proposes an aim to design efficient security control for auto theft prevention system by adding notable enhancement features such as a fingerprint system, password and OTP generating system. It is also included with some rationalizing security features like GPS fencing, remote engine cut-off, and conveying location of vehicle as a message using GSM module. These features are implemented with the help of fingerprint recognition module, GPS Receiver, GSM cellular modem. Along with these feature accident detection module is also added.

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Yadav, Arun K., and Janusz Szpytko. "Safety problems in vehicles with adaptive cruise control system." Journal of KONBiN 42, no. 1 (June 1, 2017): 389–98. http://dx.doi.org/10.1515/jok-2017-0035.

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Abstract In today’s world automotive industries are still putting efforts towards more autonomous vehicles (AVs). The main concern of introducing the autonomous technology is safety of driver. According to a survey 90% of accidents happen due to mistake of driver. The adaptive cruise control system (ACC) is a system which combines cruise control with a collision avoidance system. The ACC system is based on laser and radar technologies. This system is capable of controlling the velocity of vehicle automatically to match the velocity of car, bus or truck in front of vehicle. If the lead vehicle gets slow down or accelerate, than ACC system automatically matches that velocity. The proposed paper is focusing on more accurate methods of detecting the preceding vehicle by using a radar and lidar sensors by considering the vehicle side slip and by controlling the distance between two vehicles. By using this approach i.e. logic for calculation of former vehicle distance and controlling the throttle valve of ACC equipped vehicle, an improvement in driving stability was achieved. The own contribution results with fuel efficient driving and with more safer and reliable driving system, but still some improvements are going on to make it more safe and reliable.

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Gurenko, Boris, Roman Fedorenko, and Anatoly Nazarkin. "Autonomous Surface Vehicle Control System." Applied Mechanics and Materials 704 (December 2014): 277–82. http://dx.doi.org/10.4028/www.scientific.net/amm.704.277.

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The paper presents an automatic control system for autonomous surface vehicle. The system is designed to organize autonomous performing of mission defined from ground control station. Structure, hardware and software implementation of autonomous surface vehicle and its navigation and control system as well as experiment results are described.

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Stipaničev, Darko, and Mirjana Bonković. "Light Following Vehicle Control System." IFAC Proceedings Volumes 31, no. 3 (March 1998): 339–43. http://dx.doi.org/10.1016/s1474-6670(17)44108-5.

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Hong, Yang. "Identification Control Based on the 2.4 GHz Active Technology." Key Engineering Materials 620 (August 2014): 676–82. http://dx.doi.org/10.4028/www.scientific.net/kem.620.676.

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With the rapid development of information and advanced manufacturing technology, the number of vehicles made by manufacturing enterprises suppliers has substantial increase, and the vehicle management issues become increasingly prominent .Now, since a lot of vehicles factory is lack of effective management practices, slow plant vehicle turnover, uneven loading and unloading area of the factory, and the crowded confusion of factory logistics is more and more serious. In order to improve the management level, to strengthen the efficiency of loading and unloading the vehicle supplier and the protection of the safety of a vehicle plant in the region, the subject will design a vehicle management system with a higher degree of automation. Vehicle identification control system is designed to establish the plant area and unloading vehicle management system management system, building intensive management. These include some of the following features: Vehicle intelligent, automated management of the system is the main objective. This includes the following specific functions: vendor vehicles and staff vehicles holding the legal RF card can pass; others no relevant RF card issued by the administrator cannot access, unless having obtaining a temporary card from the administrators. System must be able to record the time of entering and leaving the factory; according to the state of unloading points, system allocates the unloading point for vehicle distribution, and provide guidance automatically; vehicle access information can be queried at any time.

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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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Liu, Jia Qiao, Gui He Qin, and Kun Lun Duan. "Implementation of Vehicle Control System Based on IPV6-CAN Gateway." Advanced Materials Research 748 (August 2013): 946–52. http://dx.doi.org/10.4028/www.scientific.net/amr.748.946.

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Vehicle will be connected to the Internet as both for ubiquitous remote controlling and as a means to meet Intelligent Transportation Systems (ITS) needs. At first, a gateway system between Controller Area Network (CAN) and IPV6 is required to connect vehicles to the Internet. Then this paper achieves the access of vehicle information and the control of vehicle using the CDMA wireless network based on the gateway. Finally, according to the result of the test, we have verified the correction and effectiveness of the control system.

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Lin, Hai Yun, Yu Jiao Wang, and Jian Bi. "Implementation of RFID-Based Access Control Management System." Advanced Materials Research 463-464 (February 2012): 1630–33. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1630.

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Along with the increasing number of Chinese automobiles in cities, the vehicle management becomes a difficult issue. The effective management on vehicle is to identify the vehicle. RFID technology can be used for the access control management, which can serve an effective way to identify the vehicles, making access control management of the security protection more effective and intellective[1] . Access Control System based on RFID protocol is proposed, and then introduces a model of system and gives a brief description of each component of the model, A detailed explanation about the implementation of each model is given.

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Sheikholeslam, Shahab, and Charles A. Desoer. "A System Level Study of the Longitudinal Control of a Platoon of Vehicles." Journal of Dynamic Systems, Measurement, and Control 114, no. 2 (June 1, 1992): 286–92. http://dx.doi.org/10.1115/1.2896526.

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This paper presents a preliminary system study of a longitudinal control law for a platoon of nonidentical vehicles using a simplified nonlinear model for the vehicle dynamics. This study advances the art of automatic longitudinal control for a platoon of vehicles in the sense that it considers longer platoons composed of nonidentical vehicles; furthermore, the longitudinal control laws presented in this study take advantage of communication possibilities not available in the recent past. We assume that for i = 1, 2, . . . vehicle i knows at all times vl and al (the velocity and acceleration of the lead vehicle) in addition to the distance between vehicle i and the preceding vehicle, i − 1. A control law is developed and is tested on a simulation of a platoon of 16 vehicles where the lead vehicle increases its velocity at a rate of 3 m.s−2; it is shown that the distance between successive vehicles does not change by more than 0.12 m in spite of variations in the masses of the vehicles (from the nominal), of communication delay and of noise in measurements.

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Zhang, Lu, Guo Ye Wang, Feng Zhu Yu, and Zhong Fu Zhang. "The Vehicles ESP Safe Test System Based on Aid Wheels Breaking Control Vehicle System." Advanced Materials Research 605-607 (December 2012): 1710–16. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1710.

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The structure of the aid wheels braking control vehicle system is projected, and the system dynamic model is set up. Based on the Matlab/Simulink, establish the dynamic simulation system of the aid wheels braking control vehicle system for the Chery A3 car. Using the brake / drive integrated ESP control principle, based on the simulation model, respectively simulate and analyze the ESP control performances of the vehicle system and the aid wheels braking control vehicle system in different simulation conditions, under steer and over steer. The study results indicate that, based on the aid wheels braking control vehicle system, when there is no ESP control or ESP control system failure, the system can ensure the safety of vehicle effectively; and when with ESP control system, the ESP control performances of the aid wheels braking control vehicle system and the vehicle system have remarkable consistency. The aid wheels braking control vehicle system provides a basis for the vehicle stability control performance research.

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Li, Guo Qiang, and Xing Ye Wang. "Research on Electronic Pneumatic Steering and Braking Control Technology for Autonomous Tracked Vehicles." Applied Mechanics and Materials 577 (July 2014): 359–63. http://dx.doi.org/10.4028/www.scientific.net/amm.577.359.

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To realize the autonomous driving of a certain tracked vehicle, the paper has a research on its steering and braking control technology. According to the steering and braking device’s structure and work principle on the original vehicle, the paper design an electronic pneumatic steering and braking control system before analyzing the design request of the system and introduce the system’s work principle. Applying this system to the original vehicle’s autonomous transformation, a test was conducted on the vehicle, the test prove that the electronic pneumatic steering and braking control system can well satisfied the tracked vehicles’ request of steering and braking.

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Zhao, Ke, Song Bai He, Qi Zhi Huang, and Liang Zhang. "Research and Development of Engine-Generator Set Control System for Tracked Vehicle Electric Transmission System." Advanced Materials Research 546-547 (July 2012): 949–54. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.949.

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As an energy generating equipment, the engine-generator set supplies power to the electric transmission. Therefore, its control is one of the key technologies of electric vehicles. Based on the discussion about the demands to the engine-generator set in tracked vehicles, the detailed function of engine-generator and the contro1 strategy are determined. The hardware and software of the control system are also developed and tested in a prototype vehicle. The experiment results show that the control system has good reliability and can satisfy the power requirements of vehicles under all operating conditions.

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Qin, Yong Fa, Jie Hua, and Long Wei Geng. "Research on Optimal Control and Simulation for Active Suspension Systems." Applied Mechanics and Materials 340 (July 2013): 631–35. http://dx.doi.org/10.4028/www.scientific.net/amm.340.631.

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Vehicles with active suspension systems become more ride comfort and maneuverable stability, many types of active suspensions have been applied to passenger vehicles, but one of the shortcomings of an active susupension system is that the additional control power consumption is needed. The core issues of designing an active suspension system are to minimiaze vibration magnitute and control energy comsuption of the active suspension system. A new mathematic model for an active suspension system is established based on vehicle dynamics and modern control theory. An optimal control law is constructed through solving the Riccati equation, and then the transfer function is deduced to describe the relationship between the vetical velosity of the road roughness and the output of suspension system. Three typical parameters of vehicle ride comfort are researched, such as vertical acceleration of vehicle body, dynamic deflection of suspension system and dynamic deformation of tires. A case of a quarter vehicle model is studied by simulation to show that the proposed method of modeling and designing optimal controller are suitable to develop active suspension systems.

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Li, Zongwei, and Vanliem Nguyen. "Evaluating car's ride comfort and controlling vibration of suspension system based on adaptive PID control." Technical Journal of Daukeyev University 1, no. 1 (April 14, 2021): 1–9. http://dx.doi.org/10.52542/tjdu.1.1.1-9.

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The vertical vibration of the vehicles not only affects the durability of parts of the vehicle and road surface but it also affects the driver’s ride comfort and health. The aim of this study is to evaluate the effect of the vertical vibration on the driver’s ride comfort and health under the vehicle different operating conditions. The adaptive PID control is then applied to improve the vehicle's ride comfort. To achieve this goal, a 2D vibration model for the cars with 5 DOF is established to simulate. The different operating conditions of the speed, road surface, load, and working time of the vehicles are respectively evaluated based on the vertical weighted r.m.s. acceleration responses of the driver’s seat and the international standard ISO 2631. The results show that the road surface condition has the greatest influence on the driver’s comfort and health. With the vehicle's suspension system controlled by the adaptive PID controller, the ride comfort of the vehicle is significantly improved under the various road surfaces. Particularly, at ISO level B, the vertical driver's seat root-mean-square acceleration value is greatly reduced by 24.99 % while the pitching vehicle body root-mean-square acceleration value is decreased by 25.10 % in comparison with the passive suspension system.

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Elumalai, G., and G. B. Bhaskar. "An Intelligent Transport System Methodology to Identify and Controlling of Faulty Vehicles." Advanced Materials Research 875-877 (February 2014): 2179–83. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.2179.

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In Indian Transport System identification of faulty vehicle is a challenging task for the enforcing authority within a specified time. Faulty vehicles include hit and run accident vehicle, traffic violators, theft vehicles, escaping an accused in a vehicle and non-payment of tax vehicle etc. In the existing Intelligent Transport System (ITS), only the vehicles are being monitored, instead of catching the faulty vehicle. In this methodology, the vehicles are controlled by controlling the fuel mixture through Global Positioning System (GPS) and Electronic Control Unit (ECU) within stipulated time duration from the control room itself. To conclude, the prime objective of this work involves conducting an experiment to monitor as well as controlling the vehicle through GPS from the control room itself.

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Wang, Ren Guang, Guang Kui Shi, Bin Wang, and Zhi Guo Kong. "A Vehicle-Mounted Power Plant Based on Hybrid Electric Vehicle." Advanced Materials Research 562-564 (August 2012): 1063–65. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1063.

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In hybrid electric vehicles, there is a set of electricity generating system. This system was modified to meet requirements of vehicle-mounted power plant. The new system is mainly composed of engine, generator, planetary gears, motor, battery, transfer case, control system and etc. and the planetary gears mechanism has two sets of planetary, control system includes vehicle controller, engine controller, motor controller, and inventor. This system can perform the functions which include vehicle driving, generating with vehicle ruining and generating with vehicle stopping. It can meet requirements of special purse vehicles.

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Ye, Ming, Yitao Long, Yi Sui, Yonggang Liu, and Qiao Li. "Active Control and Validation of the Electric Vehicle Powertrain System Using the Vehicle Cluster Environment." Energies 12, no. 19 (September 24, 2019): 3642. http://dx.doi.org/10.3390/en12193642.

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With the development of intelligent vehicle technologies, vehicles can obtain more and more information from various sensors. Many researchers have focused on the vertical and horizontal relationships between vehicles in a vehicle cluster environment and control of the vehicle power system. When the vehicle is driving in the cluster environment, the powertrain system should quickly respond to the driver’s dynamic demand, so as to achieve the purpose of quickly passing through the cluster environment. The vehicle powertrain system should be regarded as a separate individual to research its active control strategy in a vehicle cluster environment to improve the control effect. In this study, the driving characteristics of vehicles in a cluster environment have been analyzed, and a vehicle power-demanded prediction algorithm based on a vehicle-following model has been proposed in a cluster environment. Based on the vehicle power demand forecast and driver operation, an active control strategy of the vehicle powertrain system has been designed considering the passive control strategy of the powertrain system. The results show that the vehicle powertrain system can ensure a sufficient backup power with the active control proposed in the paper, and the motor efficiency is improved by 0.61% compared with that of the passive control strategy. Moreover, the overall efficiency of the powertrain system is increased by 0.6% and the effectiveness of the active control is validated using the vehicle cluster environment.

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Doyle, Aisling, and Tariq Muneer. "Energy consumption and modelling of the climate control system in the electric vehicle." Energy Exploration & Exploitation 37, no. 1 (October 25, 2018): 519–43. http://dx.doi.org/10.1177/0144598718806458.

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With the introduction of electric vehicles in the automobile market, limited information is available on how the battery’s energy consumption is distributed. This paper focuses on the energy consumption of the vehicle when the heating and cooling system is in operation. On average, 18 and 14% for the battery’s energy capacity is allocated to heating and cooling requirements, respectively. The conventional internal combustion engine vehicle uses waste heat from its engine to provide for passenger thermal requirements at no cost to the vehicle’s propulsion energy demands. However, the electric vehicle cannot avail of this luxury to recycle waste heat. In order to reduce the energy consumed by the climate control system, an analysis of the temperature profile of a vehicle’s cabin space under various weather conditions is required. The present study presents a temperature predicting algorithm to predict temperature under various weather conditions. Previous studies have limited consideration to the fluctuation of solar radiation space heating to a vehicle’s cabin space. This model predicts solar space heating with a mean bias error and root mean square error of 0.26 and 0.57°C, respectively. This temperature predicting model can potentially be developed with further research to predict the energy required by the vehicle’s primary lithium-ion battery to heat and cool the vehicle’s cabin space. Thus, this model may be used in a route planning application to reduce range anxiety when drivers undertake a journey under various ambient weather conditions while optimising the energy consumption of the electric vehicle.

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Yi, K., N. Ryu, H. J. Yoon, K. Huh, D. Cho, and I. Moon. "Implementation and vehicle tests of a vehicle stop-and-go cruise control system." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 7 (July 1, 2002): 537–44. http://dx.doi.org/10.1243/095440702760178479.

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Implementation and vehicle tests of a vehicle longitudinal control algorithm for stop-and-go cruise control have been performed. The vehicle longitudinal control scheme consists of a set-speed control algorithm, a speed control algorithm, and a distance control algorithm. A desired acceleration for the vehicle for the control of vehicle-to-vehicle relative speed and clearance has been designed using linear quadratic optimal control theory. Performance of the control algorithm has been investigated via vehicle tests. Vehicle tests have been conducted using two test vehicles. A 2000 cm3 passenger car equipped with a radar distance sensor, throttle/brake actuators and a controller has been used as a subject vehicle in the vehicle tests. A millimetre wave radar sensor has been used for distance measurement. A step motor and an electronic vacuum booster have been used for throttle/brake actuators. It has been shown that the implemented vehicle longitudinal control system can provide satisfactory performance in vehicle set-speed control and vehicle clearance control at lower speeds.

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Shamsuddin, Putri Nur Farhanah Mohd, Roshahliza M. Ramli, and Muhamad Arifpin Mansor. "Navigation and motion control techniques for surface unmanned vehicle and autonomous ground vehicle: a review." Bulletin of Electrical Engineering and Informatics 10, no. 4 (August 1, 2021): 1893–904. http://dx.doi.org/10.11591/eei.v10i4.3086.

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An excellent navigation, guidance, and control (NGC) system had a high impact on trajectory tracking and the following scenarios. Both scenarios will include the heading, tangent, and velocity parameters in the computation. However, the control system design problem is not a new issue in the unmanned surface vehicle (USV) and autonomous ground vehivle (AGV) due to this constraint faced by many researchers since early these autonomy developments. Hence, this paper listed and emphasizing the techniques, including techniques implementation, strength, and the algorithm's constraints, a fusion of several techniques implemented for vehicle's stability, a turning ahead, and heading estimation. This paper concerns the similar algorithm used in the USV and AGV. Most of the selected techniques are basic algorithms and have been frequently implemented to control both vehicles' systems. Previous research shows pure pursuit guidance is the most popular technique in AGV to control the degree-of-freedom (DOF) velocity and the dynamic rate (sway, surge, and yaw). Simultaneously, the line of sight (LOS) controller is very compatible with controlling the movement of the USV. In conclusion, the technique's simulation test needs further research that will expose in the actual situation.

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Mukhtar, Mashood. "GPS based Advanced Vehicle Tracking and Vehicle Control System." International Journal of Intelligent Systems and Applications 7, no. 3 (February 8, 2015): 1–12. http://dx.doi.org/10.5815/ijisa.2015.03.01.

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van Zanten, A. T., R. Erhardt, K. Landesfeind, and G. Pfaff. "Vehicle Stabilization by the Vehicle Dynamics Control System ESP." IFAC Proceedings Volumes 33, no. 26 (September 2000): 95–102. http://dx.doi.org/10.1016/s1474-6670(17)39127-9.

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Xu, Shanzhen, and Qian Zhao. "Study on Vehicle-mounted Overloading Control System for Passenger Vehicles." Procedia Engineering 15 (2011): 1214–18. http://dx.doi.org/10.1016/j.proeng.2011.08.224.

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Gupta, Rajesh Kumar, L. N. Padhy, and Sanjay Kumar Padhi. "Smart Driving System for Improving Traffic Flow." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (July 30, 2017): 236. http://dx.doi.org/10.23956/ijarcsse/v7i7/0174.

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Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay. For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

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Bao, Pi Li, Wen Mei Wang, and Yue Ying Zhu. "Study on Distance Control System of Urban Traffic." Applied Mechanics and Materials 551 (May 2014): 574–79. http://dx.doi.org/10.4028/www.scientific.net/amm.551.574.

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Because of the characteristics of the urban traffic, which has higher traffic flow, low speed and flexible vehicle driving behaviors, the driving state of the vehicles must be changed frequently, so distance control system of urban traffic is put forward. The thesis built the best acceleration prediction, shortest security distance model, fuzzy controller and the whole vehicle model, and so on. Then the thesis made a simulation on distance control system of urban traffic, using Matlab/Simulink software, got some curve of different working situation.

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Wang, J., and M. F. Hsieh. "Vehicle yaw-inertia- and mass-independent adaptive steering control." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 223, no. 9 (September 1, 2009): 1101–8. http://dx.doi.org/10.1243/09544070jauto1135.

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This paper describes a vehicle stability control (VSC) system using a vehicle yaw-inertia- and mass-independent adaptive control law. As a primary vehicle active control system, VSC can significantly improve vehicle driving safety for passenger cars and enhance trajectory tracking accuracy for other applications such as autonomous, surveillance, and mobile robot vehicles. For the designs of vehicle dynamic control systems, vehicle yaw inertia and mass are two of the most important parameters. However, in practical applications, vehicle yaw inertia and mass often change with vehicle payload and load distribution. In this paper, an adaptive control law is proposed to treat the vehicle yaw inertia and mass as unknown parameters and automatically address their variations. For the proposed adaptive control law, asymptotic stability of the yaw rate tracking error was proved by a Lyapunov-like analysis for certain vehicle architectures under some reasonable assumptions. The performance of the yaw-inertia- and mass-independent adaptive VSC system was evaluated under several driving conditions (i.e. double lane changing on a slippery surface and braking on a split- μ surface tests) through simulation studies using a high-fidelity full-vehicle model provided by CarSim®.

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Feng, Jiwei, Chunjiang Bao, Jian Wu, Shuo Cheng, Guangfei Xu, and Shifu Liu. "Research on Methods of Active Steering Control Based on Receding Horizon Control." Energies 11, no. 9 (August 27, 2018): 2243. http://dx.doi.org/10.3390/en11092243.

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Active steering technology is a key technology for automatic driving vehicles to achieve route tracking and obstacle avoidance and risk avoidance, and its performance will affect the stability control of the vehicle. For solving the stability control issues of vehicles, which have uncertainty in model and robustness in system, this paper proposes an active steering control method based on the receding horizon control model. It calculates the optimal control law by this method by using the real-time vehicle state so that it can compensate for the uncertainty caused by model mismatch, interference, etc. The design of the controller is implemented by using the yaw rate deviation of the vehicle as the input of the receding horizon linear quadratic controller model and then inputting the calculated superposition angle into the vehicle model in real time. We built a Simulink control model to implement co-simulation with CarSim to verify the control effect of the controller. In addition, we built a steering hardware-in-the-loop platform based on the LabVIEW RT system. The experimental results show that the active steering system adopting a receding horizon control method had better system robustness and robust stability.

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Kučera, Pavel, and Václav Píštěk. "Prototyping a System for Truck Differential Lock Control." Sensors 19, no. 16 (August 20, 2019): 3619. http://dx.doi.org/10.3390/s19163619.

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The article deals with the development of a mechatronic system for locking vehicle differentials. An important benefit of this system is that it prevents the jamming of the vehicle in difficult adhesion conditions. The system recognizes such a situation much sooner than the driver and is able to respond immediately, ensuring smooth driving in off-road or snowy conditions. This article describes the control algorithm of this mechatronic system, which is designed for firefighting, military, or civilian vehicles with a drivetrain configuration of up to 10 × 10, and also explains the input signal processing and the control of actuators. The main part of this article concerns prototype testing on a vehicle. The results are an evaluation of one of the many experiments and monitor the proper function of the developed mechatronic system.

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Morozov, E. V. "Methodology and algorithms for buildinga telematic automated vehicle movement control system." Вестник гражданских инженеров 17, no. 6 (2020): 206–13. http://dx.doi.org/10.23968/1999-5571-2020-17-6-206-213.

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The article proposes promising trends of research in the field of building automated systems for controlling the movement of transport vehicles (TS) in order to ensure a continuous monitoring and operational control. A method for substantiating technical requirements and assessing the characteristics of measuring instruments for automated control of vehicle movement, an algorithm for determining the optimal values of characteristics of measuring tools and an algorithm for choosing the optimal version of telematic automatic control devices (TASK) for vehicle movement have been developed. The concept of a telematic automated control system for controlling the movement of vehicles (TASU CD TS) is formulated. The presented results make it possible to build the TASU CD of the vehicle based on the optimal choice of TASK movement and the assessment of the effectiveness of their application. Creation of a local telematic automated control system for controlling the movement of the vehicle will effectively manage traffic flows through the implementation of continuous control and monitoring of the vehicle along the entire route of movement, and operational coordination of the interactions of all road users, special services and departments.

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Jain, Ruchin. "A Congestion Control System Based on VANET for Small Length Roads." Annals of Emerging Technologies in Computing 2, no. 1 (January 1, 2018): 17–21. http://dx.doi.org/10.33166/aetic.2018.01.003.

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As vehicle population has been increasing on a daily basis, this leads towards increased number of accidents. To overcome this issue, Vehicular Ad Hoc Network (VANET) has come up with lot of novel ideas such as vehicular communication, navigation and traffic controlling. In this study, the main focus is on congestion control at the intersections which result from unclear ahead. For this purpose, a city lane and intersection model has been proposed to manage vehicle mobility. It shows the actual vehicle to vehicle and vehicle to traffic infrastructure communication. The experiment was conducted using Network Simulator 2 (NS 2). The implementation required modelling the road side unit, traffic control unit, and on-board unit along the roadside. In the simulation, including traffic volume, the distance between two signals, end-to-end delay, packet delivery ratio, throughput and packet lost were taken into consideration. These parameters ensure efficient communication between the traffic signals. This results in improved congestion control and road safety, since the vehicles will be signalled not to enter the junction box and information about other vehicles.

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LYSENKO, S. "INTELLECTUALIZED CONTROL SYSTEM FOR UNMANNED AERIAL VEHICLE." Computer Systems and Information Technologies 1, no. 1 (September 2, 2020): 22–27. http://dx.doi.org/10.31891/csit-2020-1-3.

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The paper presents an intellectualized control system for unmanned aerial vehicles. It is based on the use of the fuzzy logic, implementation of which in the Controller of the unmanned aerial device allowed to track and control the trajectory of its movement. The experimental researches prove the efficiency of the device application of fuzzy logic for control of the drone in conditions of external influences implementation. To construct an intellectualized control system of unmanned aerial vehicles, their structure was considered. The base of the system is used for quadunmanned aerial vehicle, which includes four screws, located symmetrically around the central building. The peculiarity of the drone is that its adjacent screws must spin the opposite one from each other. This requirement is explained by the need to prevent system rotation around its own central axis. Depending on the required trajectory, an important aspect was the ability to set different values of the power of the drone engines. Despite the fact that the simplicity of its structure are characterized, they are able to implement a large set of motion models together with a demonstration of high maneuverability. It is reached the presence of six degrees of freedom, which consist of three progressive and three rotating components to set the trajectory of a movement. In order to solve this problem, it was possible to solve the apparatus of fuzzy logic as the basis of the mathematical model of the system. This allowed to ensure a vague logical control of the fog, and, in turn, intellectualize the behavior of drone in the air in the conditions of external influences on the change of a predetermined trajectory of its movement. At the heart of the Intellectualized unmanned Aerial vehicle control system, two fuzzy controllers were involved in the production of control signals for the command of a UAV flight height and an angle of inclination.

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Song, Jae-Bok, and Kyung-Seok Byun. "Throttle actuator control system for vehicle traction control." Mechatronics 9, no. 5 (August 1999): 477–95. http://dx.doi.org/10.1016/s0957-4158(99)00010-0.

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Mao, Xu, Xin Wang, Jun Chao Zhang, Kai Chen, Jiang Zhao, and Yu Zhang. "Design of Electric Orchard Vehicle Four-Wheel Steering Control System." Advanced Materials Research 753-755 (August 2013): 1966–69. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1966.

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Nowadays, the operation of orchard vehicle which is used in China has the disadvantages such as single function poor automation level etc. Therefore, it can hardly adapt to the complex environment in orchard. The electric vehicle that powered by electrical drive motor can not only save energy, but also achieve the goal of controlling more conveniently and efficiently. Some electrical vehicles in China can take a variety of steering modes. However, most orchard vehicles lack of targeted terrain design. Electric four-wheel independent drive and steering vehicles have strongly strengthened this weakness. This paper uses four-wheel independent drive & four-wheel independent steering structure and completes the design of the control system. The aim is to achieve five different orchard vehicle driving modes which based on microcontroller system, real-time feedback and achieve differential speed calculating model through the multi-channel sensor in the steering modes. Thus, it can ensure the slip angle within the allowable range and driving stability. It also proposes the design & manufacturing of wireless remote control device and operation panel in order to simplify drivers operation and increase the efficiency.

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Yan, Yu Guang, Hong Guo Xu, and Hong Fei Liu. "Research on Vehicle Control Strategy Evaluation Method." Applied Mechanics and Materials 614 (September 2014): 211–14. http://dx.doi.org/10.4028/www.scientific.net/amm.614.211.

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Method of vehicle control strategy evaluation was proposed to evaluate vehicle control strategy. 3DOF nonlinear vehicle model was deduced and verified though vehicle test. Based on Lyapunov theorem and vehicle system characteristics, vehicle’s spatial stability region was given. Though the spatial stability region, control effect of vehicle with four wheel steering (FWS) and direct yaw moment control (DYC) strategies were respectively evaluated. Results show that the stability region defined by Lyapunov and system stability theorem has good effect on characterized vehicle stability and could be a valuable method for vehicle control strategy evaluation.

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Shireesha, Y., B. Venkata Suresh, and B. Sateesh. "Vibration Analysis and Control of Locomotive System." Mechanics and Mechanical Engineering 22, no. 1 (August 12, 2020): 195–206. http://dx.doi.org/10.2478/mme-2018-0018.

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AbstractVibration is an undesirable phenomenon of ground vehicles like locomotives and vibration control of vehicle suspension system is an active subject of research. The main aim of the present work is to modeling and analysis of locomotive system. The simplified equations for dynamical locomotive are firstly established. Then the dynamical nature of the locomotive without control is investigated, and also active control suspension and passive control suspension are compare and discussed. The obtained simulation shows that suspension of the locomotive with feedback control could decrease the locomotive vibration. According to the above control strategy along with angular acceleration it also reduces the possibility of vibration of the locomotive body, to improves the stability of vehicle operation.

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Lun, Guan De, Yan Cong Liu, Peng Yi, and Yang Qu. "Design of Dynamic Control on Underwater Vehicle." Applied Mechanics and Materials 138-139 (November 2011): 333–38. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.333.

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Considering the effects in the gravity, buoyancy, thrust and hydrodynamic on the underwater vehicle, based on the perspective of the dynamic control, established a relatively complete dynamic model of underwater vehicle, analyzed and designed the control system on this base. The control system is consisted of two control loop. Dynamic compensation of the within control loop based on the dynamic characteristic of the vehicle, by the role of the within control loop, the vehicle became an easy to control and a decoupled linear system. Outer control loop achieved a negative feedback control through the use of proportional and differential item on the actual vehicle pose and the posture deviation expected. Adjusted by adjusting the parameter matrix Kd, Kpcan get the desired attenuation of the error, which can achieve precise motion control of underwater vehicles. Simulation results show that: the control model, in the paper, can be built for dynamic control of underwater vehicles, there is a strong anti-interference ability, can better realize the theory of time-varying trajectory tracking.

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Yang, Guo Quan, and You Qun Zhao. "Fuzzy Control of Vehicle Suspension System." Advanced Materials Research 383-390 (November 2011): 2012–17. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2012.

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In this paper, a semi-active suspension system has been proposed to improve the ride comfort, and a 2 DOF vehicle system is designed to simulate the actions of vehicle suspension system. The purpose of a suspension system is to support the vehicle body and increase ride comfort. The aim of the work described in the paper was to illustrate the application of fuzzy logic technique to the control of a continuously damping automotive suspension system. The ride comfort is improved by means of the reduction of the body acceleration caused by the car body when road disturbances from smooth road and real road roughness. Based on MATLAB fuzzy control toolbox, fuzzy controller is designed. Simulation analysis of suspension system is preceded by using MATLAB/Simulink7.0. The result shows that this control can improve the body acceleration, suspension distortion etc.

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Сатыбалдина, Д. К., Г. З. Зекенова, and Ж. А. Калмагамбетова. "Development of robust vehicle control system." Bulletin of L.N. Gumilyov Eurasian National University. Technical Science and Technology Series 127, no. 1 (2019): 53–59. http://dx.doi.org/10.32523/2616-7263-2019-126-1-53-59.

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Yokote, Masatsugu, Fukashi Sugasawa, and Tomohiro Yamamura. "Vehicle vibration damping force control system." Journal of the Acoustical Society of America 94, no. 6 (December 1993): 3533. http://dx.doi.org/10.1121/1.408223.

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Song, Gang. "Time-Varying LQG Control for Vibration of Coupled Vehicle-Bridge System." Applied Mechanics and Materials 347-350 (August 2013): 541–47. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.541.

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Time-varying linear quadratic Gaussian (LQG) control for vibration of coupled vehicle-bridge system is studied. The vehicle is modeled as a moving mass model with three degrees of freedom, which consists of vehicle body, bogie and wheel. Active suspensions are adopted for the primary and secondary ones, and the control forces are produced by two actuators placed between the bogie and wheel, and between the vehicle body and the bogie, respectively. Vehicle-bridge coupling systems are time-dependent, which lead to the time-varying Riccati differential equation and the time-varying Kalman-Bucy filter equation in the LQG controller design. However, both of them are solved precisely via precise integration method and symplectic conservative perturbation method. In the example, the time history responses of the bridge and the vehicle were calculated respectively for the vehicle with passive suspensions or with active suspensions. Numerical results show that with active suspensions adopted, ride comfort can be improved when the vehicles passing through the bridge.

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Yodiansyah, Hefri, and Nanik Yuzalmi. "ANALISIS KOMUNIKASI KONSUMEN TERHADAP FIDUSIA LEASING KENDARAAN PADA STUDI KASUS DEBT. COLLECTOR DENGAN FIDUCIARY VEHICLE SYSTEM METHODS." Jurnal Riset Komunikasi 1, no. 2 (August 31, 2018): 225–41. http://dx.doi.org/10.24329/jurkom.v1i2.34.

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Debt. collector with Fiduciary Vehicle System Method with the term FVSM. With FVSM analysis system with fiducative vehicle control method as vehicle payment system in leasing system, as the pattern of business trust balance and fiduciary function. So the system of vehicle control method as fiducative vehicle payment system for fiduciary system guarantee as applied scope of vehicle business leasing system. The recognition of the system by the method of vehicle control fiducative for guarantees to prevent conflicts in the pattern of fiducative vehicle balance to study the system is more safely controlled on the fiduciary system conducted by the community. It analogy system with controlling method and supervision of vehicles fiducative to restore business trust system on pattern of fiduciary system which gives ease. With the FVSM system is a process of studying business communication systems on the pattern of vehicle control methods fiducative for guarantees to prevents conflicts in the pattern of vehicle fiducative balance to learn the system is more secure controlled on the security system asset business environment.

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Kong, D. Y., and H. Y. Xu. "An Improved Car-Following Model in Vehicle Networking Based on Network Control." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/857965.

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Vehicle networking is a system to realize information interoperability between vehicles and people, vehicles and roads, vehicles and vehicles, and cars and transport facilities, through the network information exchange, in order to achieve the effective monitoring of the vehicle and traffic flow. Realizing information interoperability between vehicles and vehicles, which can affect the traffic flow, is an important application of network control system (NCS). In this paper, a car-following model using vehicle networking theory is established, based on network control principle. The car-following model, which is an improvement of the traditional traffic model, describes the traffic in vehicle networking condition. The impact that vehicle networking has on the traffic flow is quantitatively assessed in a particular scene of one-way, no lane changing highway. The examples show that the capacity of the road is effectively enhanced by using vehicle networking.

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Journal articles on the topic 'Vehicle Control System'

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