Adaptive Robust Control System for Axial Flux Permanent Magnet Synchronous Motor of Electric Medium Bus Based on Torque Optimal Distribution Method

Shuang Wang, Jianfei Zhao, Tingzhang Liu and Minqi Hua
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Shuang Wang: School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China
Jianfei Zhao: School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China
Tingzhang Liu: School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China
Minqi Hua: School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China

Energies, 2019, vol. 12, issue 24, 1-17

Abstract: In this paper, an adaptive robust drive control system for an axial flux permanent magnet synchronous motor of an electric medium-sized bus based on the optimal torque distribution method is studied. The drive control system is mainly divided into two parts. First, a torque distribution method is proposed. The optimal torque distribution method based on particle swarm optimization algorithm is used to increase the high efficiency interval of the system and apply it to the energy feedback braking. Secondly, in order to reduce the nonlinear disturbance of the system and improve the accuracy of the unified control, this paper models and studies the vector system based on adaptive robust control. Finally, the whole drive control system is modeled, simulated and experimented. The simulation and experimental results show that the torque distribution method proposed in this paper can effectively increase the high-efficiency running time of the electric medium bus, and improve the shortcomings of insufficient mileage of the electric medium-sized bus. The use of a current controller based on adaptive robust control improves the control accuracy of the drive system and can effectively suppress the disturbances generated by it.

Keywords: adaptive robust control; AFPMSM; energy feedback; particle swarm optimization; torque optimal distribution method (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 complete reference list from CitEc
Citations: View citations in EconPapers (3)

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