Active steering PMSM speed control with wavelet neural network
by Mingzhu Xu; Zhaohan Huo; Shaohua Li; Li Jiang
International Journal of Vehicle Design (IJVD), Vol. 82, No. 1/2/3/4, 2020

Abstract: In view of the high requirements of active steering system on the noise, vibration and weight of the motor, this paper chooses permanent magnet synchronous motor as the active power steering motor. A speed control strategy of permanent magnet synchronous motor based on wavelet neural network (WNN) proportional integral differential controller (PID) is proposed. According to the change of system operation parameters, a three-layer feedforward artificial neural network is used to update the PID parameters online training based on gradient descent correction error method. Wavelet neural network and incremental PID are used to construct the speed loop controller. A control system based on DSP28335 is designed for experimental verification. The results show that the proposed control strategy has better static and dynamic performance, which can provide a new choice for small motor control of vehicles.

Online publication date: Thu, 01-Apr-2021

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