Sensorless Control Of Permanent Magnet Synchronous Motor And Double Motor Synchronization Method

In this paper,the vibration compaction machine driven by double motors is the application background.For vibration compaction machinery,the two motors are in a vibrant state for a long time,adversely affecting the optical encoder or rotary transformer,so the use of speed sensorless control method is conducive to improving the overall reliability of the system.In order to eliminate the horizontal vibration,the two motors need to work in the synchronous state.However,the uncertainties of the motor parameters and loads make a higher requirement for the design of the double motor synchronous controller.This paper focuses on two aspects:the sensorless speed control of permanent magnet synchronous motor and double motor robust synchronization method.In this paper,Marginalized particle filter(MPF)algorithm is studied for the problem of motor speed estimation.MPF is a random filter combined with Kalman filter(KF)and particle filter(PF).PF here is used to deal with non-Gaussianity and nonlinearity of the system.MPF solves the problem of model parameter dependence,which is more accurate than Kalman filter estimation.In this paper,the uniform distribution of particles is proposed to replace the traditional Gaussian distribution particles in the PF,which results in a better performance at the low speed range.MPF algorithm is implemented on the experimental platform of permanent magnet synchronous motor based on TMS320F28335 DSP.Aiming at the robust synchronization of two motors,a sliding mode chaos synchronization control algorithm is designed in this paper.The sliding mode synchronization method is robust to parameter perturbation and external disturbance.Based on the experimental platform of TMS320F28335 DSP,the sliding mode synchronization control of double motor is realized.The effectiveness and superiority of the proposed method are verified.