Senseless Control of Permanent Magnet Synchronous Motors Based on New Fuzzy Adaptive Sliding Mode Observer

Based on the problems of sliding mode observer (SMO), such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, this paper studies fuzzy control in depth using a sigmoid (s) function with smooth and continuous characteristics instead of a discontinuous symbolic function to design a new type of fuzzy sliding mode observer. Firstly, the boundary layer thickness was introduced to enable the system to achieve adaptive sliding mode gain adjustment based on the system state. Then, based on PLL technology, PI adjustment was used to obtain rotor position information. Finally, in order to verify the effectiveness of the new method, a model was built for experimental verification, and the simulation waveforms of the traditional sliding mode observer and the new fuzzy sliding mode observer were compared. The results show that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed information. Under the same operating conditions, the rotational speed estimation error is only 3 r/min, the rotor position error is reduced by 0.1 rad, the overshoot is smaller, and the chattering is significantly reduced.

Automated summary

This paper addresses the problems of sliding mode observer, such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, by studying fuzzy control and designing a new type of fuzzy sliding mode observer using a sigmoid function. The new method incorporates adaptive sliding mode gain adjustment and PLL technology for rotor position information. Experimental verification and comparison with traditional sliding mode observer showed that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed, with reduced errors, overshoot, and chattering.