Sensorless control for five-phase PMSMs under normal and open-circuit fault conditions using super-twisting sliding mode observers

Liu, Guohai; Farahat, Abdallah; Chen, Qian; Zhang, Jiahao; Wang, Xu

doi:10.1007/s43236-023-00614-2

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Compared with second-order algorithms such as twisting algorithm, sub-optimal algorithm, prescribed convergence law algorithm, quasi-continuous algorithm, and drift algorithm, to weaken the shortcomings of traditional SMO chattering problems as much as possible, A. Levant proposed a super-twisting algorithm theory. References 42,43 concluded that the super-twisting algorithm converges in finite time and improves robustness in the case of disturbance and no disturbance. The super-twisting algorithm has the advantage that it does not need to calculate the derivative and extremum of the sliding mode variable.…”

Section: Design Of Fuzzy Super-twisting Sliding Mode Observermentioning

confidence: 99%

Research on speed sensorless control strategy of permanent magnet synchronous motor based on fuzzy super-twisting sliding mode observer

Song,

Liu,

Ren

et al. 2024

Science Progress

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Aiming at the problems of poor adjustment effect, weak anti-disturbance ability, and low robustness of the traditional sliding mode algorithm for permanent magnet synchronous motor speed sensorless, a permanent magnet synchronous motor speed observation method combining super-twisting sliding mode control algorithm and fuzzy control is proposed to accelerate the convergence speed of the system and improve the anti-disturbance ability. Fuzzy rules are used to solve the problem of obtaining the upper bound of the boundary function in the super-twisting algorithm. Moreover, the fuzzy algorithm is used to output the variable sliding mode gain instead of the fixed sliding mode coefficient to improve the system robustness and suppress the jitter. The simulation results show that the overshoot of the control system is 4%, the lag time is not more than 0.003 ms, the speed error is not more than 1%, and the response and adjustment time is not more than 0.02 s. The proposed control strategy improves the tracking accuracy and response speed of the system, suppresses the sliding mode chattering, and enhances the anti-interference ability of the system.

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Section: Design Of Fuzzy Super-twisting Sliding Mode Observermentioning

confidence: 99%