An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor

Yujiao Zhao, Haisheng Yu and Shixian Wang
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Yujiao Zhao: Shandong Province Key Laboratory of Industrial Control Technology, College of Automation, Qingdao University, Qingdao 266071, China
Haisheng Yu: Shandong Province Key Laboratory of Industrial Control Technology, College of Automation, Qingdao University, Qingdao 266071, China
Shixian Wang: School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, Weihai 264209, China

Energies, 2021, vol. 14, issue 19, 1-18

Abstract: This article presents an improved super-twisting high-order sliding mode observer for permanent magnet synchronous motors to achieve high-performance sensorless control. The proposed observer is able to simultaneously estimate rotor position and speed, as well as track parameter disturbances online. Then, according to the back-EMF model, the sensorless observer is further constructed to improve the estimation effect. The estimated rotor position and speed are used to replace the actual values detected by the sensor, and the estimated parameter disturbances are considered as feedback values to compensate the command voltage. In this way, not only is the estimation accuracy improved, but the robustness against uncertainties is also enhanced. Simulation and experimental results show that the proposed observer can effectively track the rotor position and speed and obtain good dynamic and steady-state performance.

Keywords: super-twisting sliding mode observer; sensorless control; permanent magnet synchronous motor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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