Estimating algorithm of angular velocity on assisted motor

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.