Linear Matrix Inequality-Based Robust Model Predictive Speed Control for a Permanent Magnetic Synchronous Motor with a Disturbance Observer

Dae-Jin Kim () and Byungki Kim ()
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Dae-Jin Kim: Electric Power System Research Laboratory, Korea Institute of Energy Research (KIER), 200 Haemajihaean-ro, Gujwa-eup, Jeju-si 63357, Republic of Korea
Byungki Kim: Electric Power System Research Laboratory, Korea Institute of Energy Research (KIER), 200 Haemajihaean-ro, Gujwa-eup, Jeju-si 63357, Republic of Korea

Energies, 2024, vol. 17, issue 4, 1-17

Abstract: In this paper, a linear matrix inequality (LMI)-based robust model predictive speed control (RMPSC) with a disturbance observer (DOB) is proposed to guarantee stability and control performance against the parameter uncertainty and disturbance of a permanent magnetic synchronous motor (PMSM). All external torques applied to the PMSM are defined as disturbance, estimated by the DOB, and used to construct the RMPSC method. The proposed DOB and RMPSC are determined by a multiple LMI-based optimization approach. Furthermore, parameter uncertainty within a certain range, due to manufacturing errors or aging deterioration, is considered and a systematic tuning method is proposed to obtain the optimal gains. Finally, an offline optimization method is developed that ensures a low computational load to enable real-time processing. Simulation results demonstrate the effectiveness and validity of the proposed control method.

Keywords: PMSM; model predictive speed control; parameter uncertainty; disturbance observer; LMIs (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: 2024
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