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Novel Adaptive Super-Twisting Sliding Mode Observer for the Control of the PMSM in the Centrifugal Compressors of Hydrogen Fuel Cells

Shiqiang Zheng, Chong Zhou () and Kun Mao ()
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Shiqiang Zheng: School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
Chong Zhou: School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
Kun Mao: School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China

Energies, 2025, vol. 18, issue 17, 1-21

Abstract: The permanent magnetic synchronous motor (PMSM) is of significant use for the centrifugal hydrogen compressor (CHC) in the hydrogen fuel cell system. In order to satisfy the demand for improving the CHC’s performance, including higher accuracy, higher response speed, and wider speed range, this paper proposes a novel adaptive super-twisting sliding mode observer (ASTSMO)-based position sensorless control strategy for the highspeed PMSM. Firstly, the super-twisting algorithm (STA) is introduced to the sliding mode observer (SMO) to reduce chattering and improve the accuracy of position estimation. Secondly, to increase the convergence speed, the ASTSMO is extended with a linear correction term, where an extra proportionality coefficient is used to adjust the stator current error under dynamic operation. Finally, a novel adaptive law is designed to solve the PMSM’s problems of wide speed change, wide current variation, and inevitable parameters fluctuation, which are caused by the CHC’s complex working environment like frequent load changes and significant temperature variations. In the experimental verification, the position accuracy and dynamic performance of the PMSM are both improved. It is also proved that the proposed strategy can guarantee the stable operation and fast response of the CHC, so as to maintain the reliability and the hydrogen utilization of the hydrogen fuel cell system.

Keywords: centrifugal hydrogen compressor; permanent magnet synchronous motor; sliding mode observer; super-twisting algorithm; parameters adaptive law (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: 2025
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