High-Order Band-Pass Active Damping Control and Predictive Control for Three-Phase Small-Film DC-Link Capacitor IPMSM Drive Systems

Tian-Hua Liu (), Sheng-Hsien Cheng and Chong-Yi Fan
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Tian-Hua Liu: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
Sheng-Hsien Cheng: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
Chong-Yi Fan: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

Energies, 2022, vol. 15, issue 19, 1-28

Abstract: Traditional three-phase rectifier DC-link inverters have been used in industry for more than 40 years. However, electrolytic capacitors, which are widely used in traditional inverters, have very large volumes and can only be used for five years. To solve this problem, a three-phase small-film DC-link capacitor interior permanent-magnet synchronous motor drive system is investigated in this paper. This small-film capacitor not only has a longer life and smaller size than an electrolytic capacitor, but it can also improve the input harmonic currents and power factor on the grid side. A high-order band-pass filter active damping control is proposed here. In addition, a constrained predictive speed controller is designed to enhance the transient, load disturbance, and tracking speed performance. Furthermore, a constrained predictive current controller is implemented to reduce the three-phase harmonic currents of the motor. A digital signal processor, type TMS-320F-28035, manufactured by Texas Instruments, is employed as a control center to conduct the whole control algorithms. Several simulated and measured results are compared to demonstrate the practicability and correctness of the proposed control algorithms.

Keywords: small-film capacitor; predictive control; high-order band-pass active damping 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: 2022
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