JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (1): 112-116.doi: 10.6040/j.issn.1672-3961.0.2015.403

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Current and speed controllers driven by IPMSM based on online particle swarm optimization method

SONG Zhengqiang1, YANG Huiling1, XIAO Dan2   

  1. 1. School of Electrical and Automotive Engineering, Yangzhou Polytechnic College, Yangzhou 225009, Jiangsu, China;
    2. Department of Electronic Engineering, University of New South Wales, Sydney 00098G, Austrilia
  • Received:2015-12-04 Online:2018-02-20 Published:2015-12-04

Abstract: A novel online particle swarm optimization method was proposed to design speed and current controller of vector controlled interior permanent magnet synchronous motor. In the proposed drive system, the space vector modulation technique was employed to generate the switching signals for a two-level voltage-source inverter. In order to simulate the system in the practical condition, the non-linearity of the inverter was also taken into account due to the dead-time, threshold and voltage drop of the switching devices. Speed and PI current controller gains were optimized with PSO online, sampling period was 100 μs, hardware test platform was DSPACE1104, and the fitness function was changed according to the system dynamic and steady states. The proposed optimization algorithm was compared with conventional PI control method in the condition of step speed change and stator resistance variation, which showed that the proposed online optimization method had better robustness and dynamic characteristics compared with conventional PI controller design.

Key words: online PSO, permanent magnet synchronous motor, intelligent control

CLC Number: 

  • TM351
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