| 基于改进型PSO算法的过热汽温PID参数优化 |
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| 引用本文： | 张嘉英,王文兰,武欣毅. 基于改进型PSO算法的过热汽温PID参数优化[J]. 电气自动化, 2009, 31(6): 40-41,51 |
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| 作者姓名： | 张嘉英 王文兰 武欣毅 |
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| 作者单位： | 内蒙古工业大学电力学院自动化系,内蒙古呼和浩特,010080;秦科液体控制北京有限公司,北京 |
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| 摘 要： | 通过采用改进的粒子群优化（PSO）算法对锅炉过热汽温中的PID参数进行优化，分析了传统过热汽温控制方案的不足，提高了整个系统的鲁棒性。其应用使过热汽温得到了良好的控制，且提高了经济运行效益，同时也说明了改进的粒子群算法寻优简单，能够使控制系统获得较好的动态特性和很强的鲁棒性，易于并行化。仿真结果表明，该算法是一种效率很高的寻优方法，是PID参数优化的理想方法。
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| 关 键 词： | 主汽温 改进的粒子群算法 PID控制 参数优化 |
The Improved PSO-based Algorithmic PID Parameters Optimization of Main-steam Temperature Control |
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| Zhang Jiaying,Wang Wenlan,Wu Xinyi. The Improved PSO-based Algorithmic PID Parameters Optimization of Main-steam Temperature Control[J]. Electrical Automation, 2009, 31(6): 40-41,51 |
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| Authors: | Zhang Jiaying Wang Wenlan Wu Xinyi |
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| Affiliation: | Zhang Jiaying Wang Wenlan Wu Xinyi(Electric Power Institute,Inner Mongol University of Technology,Huhehaote InnerMongol 010080,China) (Tyco Flow Control Beijing Co.,Ltd.,Beijing,China) |
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| Abstract: | The improved particle swarm optimization(PSO) is a novel evolutionary algorithm occurring recently,which has good optimization effects on continuous functions.Through using PSO to optimize the PID parameters of main-steam temperature control and the disadvantages of traditional control are analyzed,the robust performance of the whole system is improved.By applying this control system,main-steam temperature is well controlled and the economical benefit is improved,which illuminate that the improved particle ... |
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| Keywords: | main-steam temperature the improved PSO PID control parameter optimization |
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