Research On The Position Sensorless Control System Of Embedded Permanent Magnet Synchronous Motor

Because of its high efficiency,high power density and low inertia,permanent magnet synchronous motor is widely used in many applications.Traditional PMSM control techniques necessitate the acquisition of rotor position information.However,the utilization of position sensors increases both the cost and intricacy of the system,as well as reliability issues.Position sensorless control techniques have become a major focus of research in PMSM control.This paper focuses on the embedded permanent magnet synchronous motor as the research object,and delves into the positionless control technique for the zero-low speed section,focusing on two aspects of improving dynamic performance and steady-state accuracy.Beginning with a description of PMSM’s fundamental concept and the customary position sensor vector control approach,the paper then demonstrates the efficacy of the vector control strategy for PM synchronous motor with position sensor through simulation.Subsequently,the paper examines the high-frequency mathematical model of the embedded permanent magnet synchronous motor,the fundamental principle of the rotating highfrequency voltage signal injection technique,and its shortcomings.The scheme is limited to the extensive use of filters,the extraction of rotor position information has a large interference as well as the influence of other factors,thus making the estimation of rotor position inaccurate and affecting its control.An improved filterless high-frequency squarewave voltage injection technique is employed to address the issues of large operation volume and phase delay of traditional high-frequency signal injection.Subsequently,the initial position angle of the rotor is identified by the enhanced square wave voltage pulse injection technique.Additionally,the nonlinear elements influencing the precision of position estimation in the inverter are examined and a compensation approach is suggested.Replacing the traditional PI control with a fuzzy sliding-mode based speed control technique,this paper seeks to augment the PMSM control system’s control features.The speed ring is optimally designed using a fuzzy sliding mode variable structure controller.This paper proposes an improved Salp Swarm Algorithm to obtain the optimal solution of the fuzzy sliding mode controller parameters,with the Integral of Time and Absolute Error as the optimization rule.To do so,the algorithm is applied to the fuzzy sliding mode controller.Verification of the filterless high-frequency square wave voltage injection method is accomplished through experiments,both hardware and software-based,on a semi-physical experimental platform based on dSPACE.It is verified that the improved fuzzy slidingmode control algorithm has very small overshoot during motor starting compared with the traditional PI control algorithm and has good robustness under normal line conditions.