Title :
Estimating algorithm of angular velocity on assisted motor
Author :
Wenjiang, Wu ; Zhanpeng, Sun ; Zhanfeng, Gao
Author_Institution :
Eng. Training Center, Shijiazhuang Railway Inst., Shijiazhuang, China
Abstract :
Angular velocity of assisted motor is the switch criteria for different control models of EPS. Reasonable estimation for angular velocity not only reduces the hardware configuration of EPS and decreases the hardware cost of the system, but also increases the reliability of the system. Hinfin control theory was applied to angular velocity estimation of assisted motor. An Hinfin filter was designed. The measurement noise from voltage sensor and current sensor was selected as exogenous disturbances. The estimated error for angular velocity was determined as adjusted output. The filter was simulated under simulink environment of Matlab. The simulation result shows that the estimating algorithm is feasible.
Keywords :
Hinfin control; angular velocity control; automobiles; electric motors; electric noise measurement; electric sensing devices; steering systems; EPS control models; EPS hardware configuration; Hinfin control theory; Hinfin filter; Matlab simulink environment; angular velocity estimating algorithm; assisted motor; current sensor; electric power steering system; switch criteria; system reliability; voltage sensor; Angular velocity; Angular velocity control; Control theory; Costs; Current measurement; Filters; Hardware; Mathematical model; Switches; Voltage measurement; Angular Velocity; Assisted Motor; Estimation; H∞ control;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274737
