Finite Set Model Predictive Control of a Dual-Motor Torque Synchronization System Fed by an Indirect Matrix Converter

Shujing Li, Zewen Wang, Yan Yan and Tingna Shi
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Shujing Li: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Zewen Wang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Yan Yan: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Tingna Shi: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2021, vol. 14, issue 5, 1-17

Abstract: In the dual-motor torque synchronization system fed by an indirect matrix converter (IMC), a finite set model predictive control (FCS-MPC) strategy based on a standard quadratic cost function was proposed to solve the open-loop problem of the torque synchronization error in a traditional closed-loop control strategy. Through the unified modeling of a dual-motor system, the torque synchronization error as a new state variable was involved in the switching state selection of the inverter stages, and the space vector modulation method was still used in the rectifier stage. At the same time, based on the unified prediction model, the auxiliary diagonal matrix was constructed, and the weight coefficients were solved offline by using the Lyapunov stability theory to ensure the convergence of each error term in the continuous control period. The proposed FCS-MPC strategy not only solves the problem of weight coefficient setting, but also makes it possible for a multi-motor synchronization system to expand the number of motors. The simulation and experimental results verified the effectiveness and feasibility of the control strategy. In addition, the proposed FCS-MPC strategy can ensure good torque tracking performance and synchronization performance of each motor.

Keywords: indirect matrix converter; torque synchronization system; FCS-MPC; standard quadratic cost function; weight coefficient; motor drives (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: 2021
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