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Robust sensorless FCS-PCC control for inverter-based induction machine systems with high-order disturbance compensation

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Abstract

Due to its theoretically fast dynamic response with unlimited bandwidth for direct switch-driven-based induction machines, the finite control set predictive current control (FCS-PCC) method has been verified to be an effective solution in recent years. However, dynamic limitations of the outer speed PI controller exist, especially with high-order time-varying disturbances. In addition, hardware cost can be reduced. Using the universal proportional integral observer (UPIO) method, a robust deadbeat-like encoderless-based FCS-PCC control scheme is investigated for induction machine systems in this paper. The encoder is avoided using the proposed sensorless method. In addition, the system response and disturbance attenuation are enhanced in presence of time-varying unknown load torque and uncertainties. The squared norm is adopted for the cost function design to ensure system stability. Experimental results illustrate that it has good performance such as fast dynamics, good low-speed steady-state accuracy, and robustness.

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Acknowledgements

This work was supported in part by National Natural Science Foundation (NNSF) of China under Grants (61803335, 51877207), the Zhejiang Provincial Natural Science Foundation of China under Grant No. LY20F030016, and the Talent Project of Zhejiang Association for Science and Technology under Grant No. SKX201901.

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Authors and Affiliations

  1. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

    Junxiao Wang

  2. Quanzhou Institute of Equipment Manufacturing Haixi Institute, Chinese Academy of Science, Jinjiang, China

    Fengxiang Wang

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  1. Junxiao Wang
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  2. Fengxiang Wang
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Correspondence to Junxiao Wang.

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Wang, J., Wang, F. Robust sensorless FCS-PCC control for inverter-based induction machine systems with high-order disturbance compensation. J. Power Electron. 20, 1222–1231 (2020). https://doi.org/10.1007/s43236-020-00113-8

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  • DOI: https://doi.org/10.1007/s43236-020-00113-8

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