| 基于改进PSO算法的电机控制系统PID参数优化 |
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| 引用本文： | 袁松贵. 基于改进PSO算法的电机控制系统PID参数优化[J]. 农机化研究, 2007, 0(6): 176-178 |
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| 作者姓名： | 袁松贵 |
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| 作者单位： | 长沙理工大学,电气与信息工程学院,长沙,410076 |
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| 摘 要： | 粒子群算法(PSO,Particle Swarm Optimization)作为一种新型的随机优化方法,其算法结构简单,鲁棒性强,在组合优化和自适应控制等领域的非线性优化中有着广泛的应用前景.为此,提出一种改进的PSO优化算法,并将该算法应用于电机控制系统的PID参数优化设计.仿真结果表明,利用改进PSO算法优化的PID参数能有效改善控制系统的性能指标.
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| 关 键 词： | 自动化技术 电机控制系统 理论研究 粒子群算法 PID控制 改进 算法优化 电机 控制系统 参数优化 Algorithm Improved Based Controller System Motor 性能指标 改善 利用 仿真结果 优化设计 优化算法 前景 应用 线性优化 适应控制 |
| 文章编号： | 1003-188X（2007）06-0176-03 |
| 收稿时间： | 2007-01-10 |
| 修稿时间： | 2007-01-10 |
PID Parameters Optimization for Motor Controller System Based on Improved PSO Algorithm |
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| YUAN Song-gui. PID Parameters Optimization for Motor Controller System Based on Improved PSO Algorithm[J]. Journal of Agricultural Mechanization Research, 2007, 0(6): 176-178 |
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| Authors: | YUAN Song-gui |
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| Affiliation: | Electrical and Information Engineering College, Changsha University of Science and Technology, Changsha 410076, China |
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| Abstract: | AS a new random search and optimization method, Particle Swarm Optimization algorithm structure is easy, currency and robust, it has shown its charm in the application of optimize nature evolution, self-adaptation control and so on. An improved PSO algorithm was presented and applied to optimal the PID parameters of electromotor. The simulation results show that PSO algorithm can effectively improve the dynamic performance of electromotor control system with fast response and strong robustness. |
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| Keywords: | automation technology electro motor controller system theoretical research particle swarm optimization algorithm PID control |
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