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Implementation of an FPGA-Based Current Control and SVPWM ASIC with Asymmetric Five-Segment Switching Scheme for AC Motor Drives

Author

Listed:
  • Ming-Fa Tsai

    (Department of Electrical Engineering, Minghsin University of Science and Technology, No. 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

  • Chung-Shi Tseng

    (Department of Electrical Engineering, Minghsin University of Science and Technology, No. 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

  • Po-Jen Cheng

    (Department of Electrical Engineering, Minghsin University of Science and Technology, No. 1, Xinxing Rd., Xinfeng, Hsinchu 30401, Taiwan)

Abstract

This paper presents the design and implementation of an application-specific integrated circuit (ASIC) for a discrete-time current control and space-vector pulse-width modulation (SVPWM) with asymmetric five-segment switching scheme for AC motor drives. As compared to a conventional three-phase symmetric seven-segment switching SVPWM scheme, the proposed method involves five-segment two-phase switching in each switching period, so the inverter switching times and power loss can be reduced by 33%. In addition, the produced PWM signal is asymmetric with respect to the center-symmetric triangular carrier wave, and the voltage command signal from the discrete-time current control output can be given in each half period of the PWM switching time interval, hence increasing the system bandwidth and allowing the motor drive system with better dynamic response. For the verification of the proposed SVPWM modulation scheme, the current control function in the stationary reference frame is also included in the design of the ASIC. The design is firstly verified by using PSIM simulation tool. Then, a DE0-nano field programmable gate array (FPGA) control board is employed to drive a 300W permanent-magnet synchronous motor (PMSM) for the experimental verification of the ASIC.

Suggested Citation

  • Ming-Fa Tsai & Chung-Shi Tseng & Po-Jen Cheng, 2021. "Implementation of an FPGA-Based Current Control and SVPWM ASIC with Asymmetric Five-Segment Switching Scheme for AC Motor Drives," Energies, MDPI, vol. 14(5), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1462-:d:512429
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    References listed on IDEAS

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    1. Chuanguang Chen & Haisheng Yu & Fei Gong & Herong Wu, 2020. "Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer," Energies, MDPI, vol. 13(14), pages 1-16, July.
    2. Chih-Hong Lin, 2020. "Permanent-Magnet Synchronous Motor Drive System Using Backstepping Control with Three Adaptive Rules and Revised Recurring Sieved Pollaczek Polynomials Neural Network with Reformed Grey Wolf Optimizat," Energies, MDPI, vol. 13(22), pages 1-33, November.
    3. Ming-Fa Tsai & Chung-Shi Tseng & Bor-Yuh Lin, 2020. "Phase Voltage-Oriented Control of a PMSG Wind Generator for Unity Power Factor Correction," Energies, MDPI, vol. 13(21), pages 1-22, October.
    4. Tian-Hua Liu & Seerin Ahmad & Muhammad Syahril Mubarok & Jia-You Chen, 2020. "Simulation and Implementation of Predictive Speed Controller and Position Observer for Sensorless Synchronous Reluctance Motors," Energies, MDPI, vol. 13(11), pages 1-18, May.
    5. Fabiano C. Rosa & Edson Bim, 2020. "A Constrained Non-Linear Model Predictive Controller for the Rotor Flux-Oriented Control of an Induction Motor Drive," Energies, MDPI, vol. 13(15), pages 1-18, July.
    6. Ahmed Fathy Abouzeid & Juan Manuel Guerrero & Aitor Endemaño & Iker Muniategui & David Ortega & Igor Larrazabal & Fernando Briz, 2020. "Control Strategies for Induction Motors in Railway Traction Applications," Energies, MDPI, vol. 13(3), pages 1-22, February.
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    Cited by:

    1. Tian-Hua Liu, 2021. "Design and Control of Electrical Motor Drives," Energies, MDPI, vol. 14(22), pages 1-3, November.

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