Feedback Linearization Based Robust Control for Linear Permanent Magnet Synchronous Motors

Yung-Te Chen, Chi-Shan Yu and Ping-Nan Chen
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Yung-Te Chen: Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Chi-Shan Yu: Department of Digital Technology Design, National Taipei University of Education, Taipei 106, Taiwan
Ping-Nan Chen: Department of Biomedical Engineering, National Defense Medical Center, Taipei 114, Taiwan

Energies, 2020, vol. 13, issue 20, 1-17

Abstract: In this study, we designed a feedback linearization control strategy for linear permanent magnet synchronous motors (LPMSMs) as well as a robust control mechanism. First, the highly nonlinear system was transformed into an exact linear system by the feedback linearization technique. Then, we designed a robust controller to mitigate the impact of system parameter disturbances on system performance. This novel robust feedback controller can be applied to electromagnetic force, speed and position control loops in linear motors, correct the errors created by uncertainty factors in the entire system in real time, and set the system’s settling time based on the application environment of the plant. Finally, we performed simulations and experiments using a PC-based motor control system, which demonstrated that the proposed robust feedback controller can achieve good performance in the controlled system with robust anti-disturbance control.

Keywords: linear permanent magnet synchronous motor; feedback linearization; robust control (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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