Abstract
This paper presents an integral action finite set model predictive control (I-FCS-MPC) to apply BLDC motor control. One of the advantages of this method is it allows the current timeslot to be optimized about energy (current or voltage), which will be expressed obviously by the controller design theory with one step future prediction; furthermore, an implementation strategy is given step by step. Evaluations with the other method about current and speed are considered based on the simulation results by the Simulink model. Through that assessment, the efficiency and feasibility of I-FCS-MPC are verified, and a combination technique solution also is proposed to elucidate the existing disadvantage of this method.
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Acknowledgments
This research is supported by DCSELAB and funded by Vietnam National University Ho Chi Minh City (VNU-HCM) under grant numbers C2020-20b-01 and TX2022-20b-01. We acknowledge the support of time and facilities from Ho Chi Minh University of Technology (HCMUT), VNU-HCM, for this study.
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Thai, L.C.Q., Duong, V.T., Nguyen, H.H., Nguyen, T.T. (2022). Integral Action Finite Set Model Predictive Current Control for Brushless DC Motor. In: Le, AT., Pham, VS., Le, MQ., Pham, HL. (eds) The AUN/SEED-Net Joint Regional Conference in Transportation, Energy, and Mechanical Manufacturing Engineering. RCTEMME 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-1968-8_22
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