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The Optimal Duty Cycle Model-Predictive Control of PMSM Used for Satellite Payload

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The Proceedings of the 17th Annual Conference of China Electrotechnical Society (ACCES 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1014))

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Abstract

Model-predictive control is emerging as an advanced control strategy for its feature that the state variables can be predicted according to the math model of the control system. In the PMSM drive application, conventional model-predictive control strategy induces current ripple due to the fact that the optimal voltage vector always acts on the system for the whole control period. In order to restrain the current ripple, the idea of duty cycle control is taken into MPC by inserting a zero vector into the optimal non-zero vector and regulating the duty cycle of non-zero vector. In this paper, the optimal duty cycle FSC-MPC strategy based on two different principles is investigated. Principle A is that the estimation is equal to the reference at the end of control cycle, and principle B is that the area under trace of the estimation is equal to that of reference. The calculation of duty based on the two different principles and the flow chart of the strategy are introduced in detail. Finally, the effectiveness of the optimal duty cycle FSC-MPC is firstly verified by the simulation, and then verified by the experimental results, which is implemented on the PMSM driver of the DQ-1 satellite payload.

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Correspondence to Hengzai Hu .

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Li, J., Chen, Z., Hu, H., Liu, X., Bao, L. (2023). The Optimal Duty Cycle Model-Predictive Control of PMSM Used for Satellite Payload. In: Xie, K., Hu, J., Yang, Q., Li, J. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-99-0408-2_8

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  • DOI: https://doi.org/10.1007/978-981-99-0408-2_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0407-5

  • Online ISBN: 978-981-99-0408-2

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