Title :
Optimal Controller Design for Electric Power Steering System Based on LQG
Author :
Shi, Peilin ; Gao, Shixiang ; Miao, Lidong ; Wang, Hongmin
Author_Institution :
Sch. of Transp. & Vehicle Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
Because of the complex factors of the road random excitation, the torque sensor measurement noises and the interference caused by model errors in the electric power steering system(EPS), EPS controller must provide substantial robustness. In this paper, the mathematical model of EPS was established and the state-space expression with random interference signal was constructed, a control design method was introduced which employed the boost curve to form a feedforward control and LQG feedback to ensure refined performance, robustness, and disturbance attenuation. The controller was tested via simulation and the simulation result shows that this proposed controller can effectively attenuate the external interference and improve the system robustness.
Keywords :
control system synthesis; feedback; feedforward; interference (signal); linear quadratic Gaussian control; machine control; optimal control; robust control; state-space methods; steering systems; torque measurement; EPS controller; LQG feedback; control design method; electric power steering system; feedforward control; model errors; optimal controller design; random interference signal; road random excitation; state-space expression; system robustness; torque sensor measurement noises; Control systems; Electric variables measurement; Interference; Optimal control; Power measurement; Roads; Robust control; Sensor systems; Steering systems; Torque measurement;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5365931
