Hybrid Feedback Control of Vehicle Longitudinal Acceleration
The longitudinal acceleration control plays a very important role in the design of active safety-system of vehicle, which includes driving and braking control systems. In this paper, two different control laws are designed in the engine and brake controller. A fuzzy gain scheduling scheme of proportional-integral-derivative (PID) control law is used in the throttle control, and the parameters of the fuzzy inference system are optimized by particle swarm optimization algorithms. A hybrid feed-forward & feedback control law is applied in the brake control. The vehicle model is constructed for simulation in Matlab/Simulink to test the strategy of throttle controller, brake controller and the combination performance of the two controllers, respectively. The results show that the rapid response and high-precision performance have been achieved in the vehicle longitudinal acceleration control.
Acceleration Control Fuzzy Inference PID Controller Vehicle
XIA Zhongpu ZHAO Dongbin
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
7292-7297
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）