Title :
Research on Electric Power Steering System Based on Compound Control of CMAC and PID
Author :
Shi, Peilin ; Gao, Shixiang ; Wang, Yi
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
Abstract :
Because of the complex nonlinearity of electric power steering system, the actual current of motor canpsilat follow the tracks of the target current well with PID controller. A compound controller of CMAC and PID is proposed for it. This controller realized the feedback control with traditional PID controller to make the electric power steering system stable, and realized the feed forward control with CMAC neural network controller to increase the response speed and control precision. Simulation results showed that actual current of motor can follow the tracks of the target current very well with the compound controller. Moreover, the compound control system of CMAC and PID is less sensitive to the change of parameters than that in PID control system.
Keywords :
automobiles; automotive components; cerebellar model arithmetic computers; electric vehicles; feedback; feedforward; neurocontrollers; nonlinear control systems; steering systems; three-term control; CMAC neural network controller; PID controller; complex nonlinearity; electric power steering system; feedback control; feedforward control; Automotive engineering; Control systems; Feedback control; Feeds; Neural networks; Nonlinear control systems; Power engineering and energy; Power system modeling; Steering systems; Three-term control; CMAC neural network; Electric power steering system; PID controller; compound control;
Conference_Titel :
Intelligent Information Technology and Security Informatics, 2009. IITSI '09. Second International Symposium on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3580-7
DOI :
10.1109/IITSI.2009.15
