A Power Loss Decrease Method Based on Finite Set Model Predictive Control for a Motor Emulator with Reduced Switch Count

Rui Qin, Chunhua Yang, Hongwei Tao, Tao Peng, Chao Yang and Zhiwen Chen
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Rui Qin: School of Automation, Central South University, Changsha 410083, China
Chunhua Yang: School of Automation, Central South University, Changsha 410083, China
Hongwei Tao: School of Automation, Central South University, Changsha 410083, China
Tao Peng: School of Automation, Central South University, Changsha 410083, China
Chao Yang: School of Automation, Central South University, Changsha 410083, China
Zhiwen Chen: School of Automation, Central South University, Changsha 410083, China

Energies, 2019, vol. 12, issue 24, 1-25

Abstract: This paper presents a power loss decrease method based on finite set model predictive control (FSMPC) with delay compensation for a motor emulator with reduced switch count. Specifically, the topology and mathematical model of the proposed motor emulator with reduced switch count are firstly built. Secondly, in light of given instructions, the normal or fault reference current of the motor emulator is set by a reference current setter. Then delay compensation is applied for the predictive current model to calculate the current residual generated by each switch control signal, and the current tracking performance under actions of two adjacent switch control signals is evaluated for each sector. Finally, a switch power loss objective function is defined, then the two adjacent switch control signals that generate the lowest switch power loss are selected for the next second instant, which minimizes the power loss of the motor emulator with ensuring satisfied current tracking performance. Simulation and experimental results show the feasibility and effectiveness of the proposed method.

Keywords: motor emulator; power loss; current tracking; finite set model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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