| 2017 International Symposium on Application of Materials Science and Energy Materials | |
| Intelligent control for PMSM based on online PSO considering parameters change | |
| 材料科学;能源学 | |
| Song, Zhengqiang^1 ; Yang, Huiling^1 | |
| Yangzhou Polytechnic College, Jiangsu, China^1 | |
| 关键词: Conventional PI control; Conventional-PI controller; Dynamic characteristics; Interior permanent magnet synchronous motor drives; Optimization algorithms; Particle swarm optimization method; Space Vector Modulation; Voltage source inverter; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072025/pdf DOI : 10.1088/1757-899X/322/7/072025 |
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| 学科分类:材料科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
A novel online particle swarm optimization method is proposed to design speed and current controllers of vector controlled interior permanent magnet synchronous motor drives considering stator resistance variation. In the proposed drive system, the space vector modulation technique is employed to generate the switching signals for a two-level voltage-source inverter. The nonlinearity of the inverter is also taken into account due to the dead-time, threshold and voltage drop of the switching devices in order to simulate the system in the practical condition. Speed and PI current controller gains are optimized with PSO online, and the fitness function is changed according to the system dynamic and steady states. The proposed optimization algorithm is compared with conventional PI control method in the condition of step speed change and stator resistance variation, showing that the proposed online optimization method has better robustness and dynamic characteristics compared with conventional PI controller design.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Intelligent control for PMSM based on online PSO considering parameters change | 308KB |
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