Abstract:  In order to solve the problems such as large resistance and low efficiency of the traditional hydraulic power steering system during the driving process of commercial vehicles, improper maintenance after long-term use will lead to leakage, and may cause accidents, an electric auxiliary steering motor control is adopted. The electric auxiliary steering motor selects the permanent magnet synchronous motor. By using the fuzzy PID (Proportional Integral Derivative) algorithm, it can be modulated to the reference value accurately and quickly . The extended Kalman filter is used to estimate the rotor position of the permanent magnet synchronous motor, reduce the volume of the controller and reduce the cost. In the drive system, the diversity of large current coupling paths seriously affects the electromagnetic compatibility performance of the motor control system, so the drive system EMC ( Electro Magnetic Compatibility) design is adopted. From the experimental results, it is concluded that the permanent magnet synchronous motor control based on fuzzy PID algorithm and extended Kalman filter can be applied to the electric auxiliary steering motor control of commercial vehicles.

Key words: electric auxiliary rotation, control strategy of permanent magnet synchronous motor, fuzzy proportional integral derivative ( PID), extended Kalman filter, electro magnetic compatibility (EMC) design