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A Constrained Non-Linear Model Predictive Controller for the Rotor Flux-Oriented Control of an Induction Motor Drive

Author

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  • Fabiano C. Rosa

    (Faculty of Electrical and Computer Engineering, State University of Campinas, Campinas 13083-852, São Paulo, Brazil
    Federal Institute of Education, Science and Technology of São Paulo (IFSP), Campus Suzano, Suzano 08673-010, São Paulo, Brazil
    These authors contributed equally to this work.)

  • Edson Bim

    (Faculty of Electrical and Computer Engineering, State University of Campinas, Campinas 13083-852, São Paulo, Brazil
    These authors contributed equally to this work.)

Abstract

Predictive controllers have been extensively studied and applied to electrical drives, mainly because they provide fast dynamic responses and are suitable for multi-variable control and non-linear systems. Many approaches perform the prediction and optimization process on-line, which requires a high computational capacity for fast dynamics, such as, for example, the control of AC electric motors. Due to the complexity of embedding constraints in controller design, which demands a high computational capacity to solve the optimization problem, off-line approaches are one of the choices to overcome this problem. However, these strategies do not deal with the inherent constraints of the drive system, which significantly simplifies the design of the controller. This paper proposes a non-linear and multi-variable predictive controller to control the speed and rotor flux of an induction motor, where the constraints are treated after the controller design. Besides dealing with the constraints of the electric drive system, our proposal allows increasing the stability of the system when the model does not incorporate disturbances and when parameter incompatibilities occur. Several computer simulations and experimental tests were performed to evaluate the behavior of the proposed controller, showing good performance to track the controlled variables under normal operating conditions, under load disturbances, parametric incompatibility, and at a very low rotor speed.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3899-:d:392433
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    References listed on IDEAS

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    1. Mingcheng Lyu & Gongping Wu & Derong Luo & Fei Rong & Shoudao Huang, 2019. "Robust Nonlinear Predictive Current Control Techniques for PMSM," Energies, MDPI, vol. 12(3), pages 1-19, January.
    2. Meng Shao & Yongting Deng & Hongwen Li & Jing Liu & Qiang Fei, 2019. "Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM," Energies, MDPI, vol. 12(10), pages 1-22, May.
    3. Errouissi, Rachid & Ouhrouche, Mohand, 2010. "Nonlinear predictive controller for a permanent magnet synchronous motor drive," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 394-406.
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    2. 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.

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