Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Fuzzy Sliding Mode Controller and Fuzzy Sliding Mode Observer

PMSM sensorless control based on sliding mode control with fuzzy variable gain STA-SMO

“…The range of sliding mode gain coefficients given above shows that the stability conditions of the superhelix sliding mode observer are not sufficiently well defined and that the constant gain method it uses is not accurate enough to estimate the rotor information. The literature 5 indicates that both larger and smaller sliding mode coefficients have different beneficial effects on the system. Therefore, the variable gain method is more beneficial for system control than the conventional fixed gain method by selecting the appropriate sliding mode coefficients.…”

“…The main sensorless control techniques currently used for permanent magnet synchronous motors are the extended Kalman filter method, the model reference adaptive method, and the sliding mode observer method. In noisy environments, the extended Kalman filter method can have good results, but the complex matrix operation in it increases the computational burden of the control system and limits the application of this method in the high-speed range [4][5] .The main idea of MARS is to construct the motor equations without the position parameters as the reference model and the equations of the parameters to be estimated as the adjustable model. An adaptive law is constructed using the difference between the two model outputs so that the output of the adjustable model tracks the reference model output.…”

Fuzzy control of permanent magnet synchronous motor for new energy vehicle based on MFO algorithm

“…The application can improve the range and power performance of the vehicles. Secondly, by controlling the magnetic field and torque, precise control of the motor can be realized [7][8] , thus optimizing the performance of the motor. This control method can improve the driving experience and power response speed of new energy vehicles.…”

Sensorless Control of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer

“…In order to improve this problem, some scholars have used segmented exponential function to replace the sign function in the conventional sliding mode observer, which effectively weakens the chattering phenomenon of the conventional sliding mode observer; some scholars have also used the superhelix algorithm to design an improved sliding mode observer for the position sensorless control of the PMA-SynRM, and the results show that it has a good anti-chattering property and dynamic and static performance [15,16]. However, the existence of Low-Pass Filter (LPF) makes the obtained back electromotive force still have high frequency harmonics, and in order to improve the problem, [17] designed a two-stage filtering structure combining a variable cutoff frequency low-pass filter and a modified back electromotive force observer in a sliding mode observer, which improves the adaptive capability of the lowpass filter in the case of high-frequency harmonic variations of the back electromotive force, but there is still a position compensation link in the process of rotor calculation. In this paper, a new improvement strategy is proposed to solve the problem of chattering and phase delay caused by low-pass filter in the sliding mode observer algorithm.…”