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A Robust Backstepping Sensorless Control for Interior Permanent Magnet Synchronous Motor Using a Super‐Twisting Based Torque Observer
Author(s) -
Wu Shaofang,
Zhang Jianwu,
Chai Benben
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1798
Subject(s) - control theory (sociology) , backstepping , observer (physics) , torque , robust control , computer science , convergence (economics) , sliding mode control , rotor (electric) , lyapunov stability , controller (irrigation) , lyapunov function , control engineering , engineering , control system , adaptive control , control (management) , nonlinear system , physics , artificial intelligence , mechanical engineering , agronomy , quantum mechanics , biology , economic growth , electrical engineering , economics , thermodynamics
In order to achieve high‐performance speed regulation for sensorless interior permanent magnet synchronous motors (IPMSMS), a robust backstepping sensorless control is presented in this paper. Firstly, instead of a real mechanical sensor, a robust terminal sliding mode observer is used to provide the rotor position. Then, a new super‐twisting algorithm (STA) based observer is designed to obtain estimates of load torque and speed. The proposed observer ensures finite‐time convergence, maintains robust to uncertainties, and eliminates the common assumption of constant or piece‐wise constant load torque. Finally, a sensorless scheme is designed to realize speed control despite parameter uncertainties, by combining the robust backstepping control with sliding mode actions and the presented sliding mode observers. The stability of the observer and controller are verified by using Lyapunov's second method to determine the design gains. Simulation results show the effectiveness of the proposed approach.