Optimal control Research for Electric Power Steering System Based on LQG Controller

Because of the complex factors of the random road excitation,the measurement noises of the torque sensor and the disturbance of model errors in the electric power steering system,the mathematical models of electric power steering system were established and the state-space formula with random disturbance signal was performed.Then the LQG state feedback controller and the Kalman filter were designed.Finally,take minimum the energy consumption and the error between the actual current of assist motor and the target value as the target function and simulate.The simulation results showed that this optimal control method could attenuate the external disturbance effectively,improve the system robustness,and minimize the energy consumption and the error between the actual assist current of motor and the target current.