Vehicle Yaw Rate Control Based on Fuzzy PID Control Technology
Keywords:
Yaw rate, Vehicle model, Fuzzy PID controller.Abstract
In this paper, control of vehicle yaw stability system is studied by using a two vehicle models where the first one is a linear two degree of freedom vehicle model to design the controller and the other one is a planar motion model which represents a nonlinear vehicle model (actual vehicle). The strategy of vehicle yaw stability control based on the yaw rate control which adopts the fuzzy PID controller. Compared to traditional PID control, the fuzzy PID control can adjust and tune the proportional, integral and derivative parameters and make efficient the system responds. To make sure that Fuzzy PID controller works well, it will be tested at two cases of input steering angle of the vehicle front tires which are a step signal maneuver and a single-lane-change maneuver. Various of computer simulations and results show that the control system of vehicle yaw stability and using of fuzzy PID controller can improve the stability and handling of vehicle significantly.
References
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15. Wongun Kim, Kyongsu Yi, and Jongseok Lee,” Drive control algorithm for an independent 8 in-wheel motor drive vehicle”, Journal of Mechanical Science and Technology 2011; 25(6): 1573-1581.
16. Shingo Tamaru, Jinxin Zhuo, Masahiro Oyam and Qiang Wang,” A method to improve the stability of adaptive steerin driver–vehicle systems”, Artif Life Robotics 2011; 16: 343–347.
17. Yahaya Md Sam, Hazlina Selamat, MK Aripin et al. Vehicle Stability Enhancement Based on Second Order Sliding Mode Control”, IEEE International Conference on Control System, Computing and Engineering 2012. Penang, Malaysia.
18. G Feng. “A survey on analysis and design of modelbased fuzzy control systems,” IEEE Transactions on Fuzzy systems 2006; 14: 676-697.
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2. Jinzhu Z, Hongtian Z, “Vehicle stability control system based on direct measurement of body sideslip angle,” IEEE 2nd International Conference on Power Electronics and Intelligent Transportation System, China, 2009.
3. Rajesh Rajamani,Vehicle Dynamics and Control, Springer, New York, United States, 2012.
4. MK Aripin, Yahaya Md Sam, Kumeresan A et al. A Review of Active Yaw Control System for Vehicle Handling and Stability Enhancement”, International Journal of Vehicular Technology 2014.
5. Li Feiqiang, Wang Jun, Liu Zhaodu. On the Vehicle Stability Control for Electric Vehicle Based on Control Allocation”, IEEE Vehicle Power and Propulsion Conference (VPPC) 2008, Harbin, China.
6. Siqi Zhang, Shuwen Zhou, Jun Sun. Vehicle Dynamics Control Based on Sliding Mode Control Technology”, IEE Control and Decision Conference, China, 2009.
7. Hongyu Zheng, Changfu Zong. “Research on Vehicle Stability Control Algorithm for Direct Yaw Moment Control”, 3rd International Conference on Computer and Electrical Engineering, Singapore, 2010.
8. You De Li, Wei Liu, Jing Li et al. Simulation of Vehicle Stability Control System Using Fuzzy PI Control Method, IEEE International Conference on Vehicular Electronics and Safety, 2005.
9. T.P. Leungn, Zhou Qi-jie, Mao Zhong-yuan et al. “A Design Method for Vehicle Dynamic Systems Bascd On Fuzzy Logic Control”, American Control Conference, Washington, USA,1995.
10. Wuwei Chen, Hansong Xiao, Liqiang Liu et al. “Integrated Control of Vehicle System Dynamics: Theory and Experiment, Advances in Mechatronics”, InTech, 2011.
11. Kangwon Lee, Youngwoo Kim, Jinhee Jang. “A study of integrated chassis control Algorithm with Brake Control and Suspension Control Systems for vehicle stability and handling performance”, ICROS-SICE International Joint Conference, August 18-21, 2009, Japan.
12. Junmin Wang, Javier M. Solis, Raul G. Longoria. “On the Control Allocation for Coordinated Ground Vehicle Dynamics Control Systems”, Proceedings of the 2007 American Control Conference, July 11-13, 2007, New York City, USA.
13. Laiq Khan, Shahid Qamar, M. Umair Khan. Comparative Analysis of Adaptive NeuroFuzzy Control Techniques for Full Car Active Suspension System”, Arab J Sci Eng 2014; 39: 2045–2069.
14. S. Krishna, S. Narayanan and S. Denis Ashok. “Fuzzy logic based yaw stability control for active front steering of a vehicle”, Journal of Mechanical Science and Technology, 2014; 28(12): 5169-5174.
15. Wongun Kim, Kyongsu Yi, and Jongseok Lee,” Drive control algorithm for an independent 8 in-wheel motor drive vehicle”, Journal of Mechanical Science and Technology 2011; 25(6): 1573-1581.
16. Shingo Tamaru, Jinxin Zhuo, Masahiro Oyam and Qiang Wang,” A method to improve the stability of adaptive steerin driver–vehicle systems”, Artif Life Robotics 2011; 16: 343–347.
17. Yahaya Md Sam, Hazlina Selamat, MK Aripin et al. Vehicle Stability Enhancement Based on Second Order Sliding Mode Control”, IEEE International Conference on Control System, Computing and Engineering 2012. Penang, Malaysia.
18. G Feng. “A survey on analysis and design of modelbased fuzzy control systems,” IEEE Transactions on Fuzzy systems 2006; 14: 676-697.
19. CC Lee, “Fuzzy logic in control systems: fuzzy logic controller. II,” IEEE Transactions on systems, man, and cybernetics 1990; 20: 419-435.
20. G Thomas, P Lozovyy, D Simon. “Fuzzy robot controller tuning with biogeography-based optimization,” International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems 2011; 319-327.
21. V Kumar, A Mittal, “Parallel fuzzy P+ fuzzy I+ fuzzy D controller: Design and performance evaluation,” International Journal of Automation and Computing 2010; 7: 463-471.
22. A Visioli. “Tuning of PID controllers with fuzzy logic,” IEE Proceedings-Control Theory and Applications 2001; 148: 1-8.
Published
2019-01-23
How to Cite
Ahmed, A. A., & Abunada, A. R. H. (2019). Vehicle Yaw Rate Control Based on Fuzzy PID Control Technology. Journal of Advanced Research in Mechanical Engineering and Technology, 5(3&4), 17-23. Retrieved from https://www.adrjournalshouse.com/index.php/mechanical-engg-technology/article/view/275
Issue
Section
Research Article
