Self-tuning PI Speed Control Based on Dynamic Forgetting Factor Recursive Least Squares Method for PMSM
The self-tuning PI speed control of permanent magnet synchronous motor based on inertia identification hadgood anti load disturbance performance,but the speed response would generate high-fre-quency oscillation due to the influence of jitter in the inertia identification process.To suppress high-frequency oscillations,a self-tuning PI control strategy based on dynamic forgetting factor recursive least squares inertia identification was proposed.Firstly,constructed a dynamic forgetting factor in the form of an exponential function,analyzed its law of following the variation of identification error,and used it for moment of inertia identification.Then,the"oscillation index method"was used to design the PI parameter tuning formula,and self-tuning PI control was carried out in conjunction with the DFFRLS inertia identification process.The simulation and experimental results show that the improved DFFRLS effectively reduces the jitter amplitude of the identification inertia;the proposed ST-PIC speed control strategy effectively suppresses high-frequency oscillations while ensuring high-performance speed response.
permanent magnet synchronous motorself-tuning PI controlinertia identificationrecursive least squares methoddynamic forgetting factor
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维普
