| 改进粒子群算法在湿法烟气脱硫系统PID控制参数优化中的应用 |
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| 引用本文： | 党保华,朱德荣,杜志强,王淑珍.改进粒子群算法在湿法烟气脱硫系统PID控制参数优化中的应用[J].机械与电子,2011(8):75-78. |
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| 作者姓名： | 党保华 朱德荣 杜志强 王淑珍 |
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| 作者单位： | 洛阳理工学院机电工程系; |
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| 基金项目： | 河南省高等学校青年骨干教师资助计划项目(2010GGJS-172); 洛阳市科技发展计划项目(1001005B) |
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| 摘 要： | 将改进的粒子群算法所获得的优化参数用于PID控制器的优化,并通过算法寻优得到了满足系统性能指标的最佳控制器参数,有效地提高了控制系统稳定性。最后,通过增压风机入口压力PID控制的算法仿真,验证了算法的有效性。
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| 关 键 词： | IPSO FGD PID控制器 参数优化 |
Application of Improved Particle Swarm Algorithm in PID Control Parameters Optimization for Wet Flue Gas Desulfurization System |
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| DANG Bao-hua,ZHU De-rong,DU Zhi-qiang,WANG Shu-zhen.Application of Improved Particle Swarm Algorithm in PID Control Parameters Optimization for Wet Flue Gas Desulfurization System[J].Machinery & Electronics,2011(8):75-78. |
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| Authors: | DANG Bao-hua ZHU De-rong DU Zhi-qiang WANG Shu-zhen |
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| Affiliation: | DANG Bao-hua,ZHU De-rong,DU Zhi-qiang,WANG Shu-zhen(Department of Mechanical & Electronic Engineering,Luoyang Institute of Science and Technology,Luoyang 471023,China) |
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| Abstract: | This method will be improved particle swarm algorithm is obtained by the optimized parameters used PID controller,and through the optimization algorithm optimal satisfied system performance index of the optimal controller parameters,effectively improve the control system stability.Finally,through the booster fan inlet pressure of PID control algorithm simulation,verify the validity of the proposed algorithm. |
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| Keywords: | IPSO FGD PID controller parameters optimization |
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