Title :
Control of regenerative retarding of a vehicle equipped with a new energy recovery retarder
Author :
Xie, Jing ; Cao, Binggang ; Xu, Dan ; Zhang, Shuchen
Author_Institution :
Inst. for Electr. Vehicle & Syst. Control, Xi´´an Jiaotong Univ., Xi´´an
Abstract :
Control of regenerative retarding of a vehicle equipped with a new energy recovery retarder is investigated in this paper. The handle and pedal operations are designed to satisfy the need of control of vehicle brake under different working conditions. As the dynamics of the retarding process is highly nonlinear and time-variant, the control of regenerative retarding becomes rather complicated. For this reason, there are two robust controllers which are designed. A fuzzy controller with a two-input, one-output and Mamdani´s fuzzy inference system is designed in the outer loop. Active disturbance-rejection controller (ADRC) which is well adaptable to noise and model uncertainty is designed in the inner loop. Comparing the proposed control scheme in this paper with conventional PI control is made. Final simulation results show that our approach is efficient and the controllers have better robustness performance and dynamic performance.
Keywords :
PI control; automobiles; brakes; control system synthesis; fuzzy control; nonlinear control systems; time-varying systems; vehicle dynamics; Mamdani fuzzy inference system; PI control; active disturbance-rejection controller; dynamic performance; energy recovery retarder; fuzzy controller; model uncertainty; nonlinear dynamics; regenerative retarding control; robust controller design; robustness performance; time-variant dynamics; two-input one-output inference system; vehicle brake control; Active noise reduction; Control systems; Employee welfare; Fuzzy control; Fuzzy systems; Noise robustness; Nonlinear dynamical systems; Robust control; Uncertainty; Vehicle dynamics; ADRC; energy recovery retarder; fuzzy logic controller; regenerative retarding;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138787