| 基于粒子群算法的弹簧-阻尼系统PID控制器优化设计 |
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| 引用本文： | 王博,闫军,侯倩倩,徐明明,郭春晖.基于粒子群算法的弹簧-阻尼系统PID控制器优化设计[J].计算机科学,2015,42(Z11):529-531. |
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| 作者姓名： | 王博 闫军 侯倩倩 徐明明 郭春晖 |
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| 作者单位： | 兰州交通大学机电技术研究所 兰州730070,兰州交通大学机电技术研究所 兰州730070,兰州交通大学机电技术研究所 兰州730070,兰州交通大学机电技术研究所 兰州730070,兰州交通大学机电技术研究所 兰州730070 |
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| 基金项目： | 本文受国家科技支撑计划(2012BAH20F05),甘肃省自然科学基金(1212RJZA05)资助 |
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| 摘 要： | 弹簧-阻尼系统在工程技术中有着广泛的应用,它的稳定性对工程有比较重要的影响。研究了弹簧-阻尼系统PID控制器的设计,并针对PID控制器参数整定困难的问题,利用粒子群算法对PID参数进行了优化,最后采用MATLAB进行仿真实验证明该方法的可行性和优越性。将实验所得到的仿真结果与预估法、Z-N整定法所得到的结果进行比较,证明了用粒子群算法调整PID参数可以有效消除系统的冲击,从而使系统更加稳定和可靠。
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| 关 键 词： | 粒子群算法 PID 弹簧-阻尼系统 优化 |
Optimization Design of PID Controller for Spring Damper System Based on Particle Swarm Algorithm |
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| WANG Bo,YAN Jun,HOU Qian-qian,XU Ming-ming and GUO Chun-hui.Optimization Design of PID Controller for Spring Damper System Based on Particle Swarm Algorithm[J].Computer Science,2015,42(Z11):529-531. |
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| Authors: | WANG Bo YAN Jun HOU Qian-qian XU Ming-ming and GUO Chun-hui |
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| Affiliation: | Mechatronics Technology and Research Institute,Lanzhou Jiaotong University,Lanzhou 730070,China,Mechatronics Technology and Research Institute,Lanzhou Jiaotong University,Lanzhou 730070,China,Mechatronics Technology and Research Institute,Lanzhou Jiaotong University,Lanzhou 730070,China,Mechatronics Technology and Research Institute,Lanzhou Jiaotong University,Lanzhou 730070,China and Mechatronics Technology and Research Institute,Lanzhou Jiaotong University,Lanzhou 730070,China |
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| Abstract: | Spring damper system has been widely applied in engineering and its stability has important influence on the project.A design method of PID controller based on particle swarm algorithm was proposed to solve the difficult problems of parameter tuning on PID controller in the article.MATLAB simulation was finally used to demonstrate the feasibility and advantages of this approach.Compared the simulation results with the results of prediction method and the Z-N tuning method,it was showed that the particle swarm optimization algorithm to adjust the parameters of the PID can eliminate the impact of system,so as to make the system more stable and reliable. |
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| Keywords: | Particle swarm optimization PID Simulation Optimization |
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