| 基于蚁群算法的PID控制参数优化 |
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| 引用本文： | 尹宏鹏,柴毅.基于蚁群算法的PID控制参数优化[J].计算机工程与应用,2007,43(17):4-7. |
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| 作者姓名： | 尹宏鹏 柴毅 |
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| 作者单位： | 重庆大学 自动化学院，重庆 400044 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 蚁群算法是近几年优化领域中新出现的一种仿生进化算法，该算法采用的分布式并行计算机制特别适用于组合优化问题（COP）的求解。在简要介绍蚁群算法的基础上，针对PID控制参数整定问题提出了一种基于蚁群算法的PID参数优化策略，并给出了该算法的具体实现步骤。仿真试验结果表明同传统的Ziegler-Nichols（ZN）法、遗传算法优化整定的结果进行比较，系统单位阶跃响应的超调量σ分别减少了51.5％和22％和调整时间ts分别减少了61.4％和67.5％，动态和稳态性能进一步改善，进而验证了该方法的可行性和有效性。
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| 关 键 词： | 蚁群算法 PID 信息素 遗传算法 ZN法 |
| 文章编号： | 1002-8331（2007）17-0004-04 |
| 修稿时间： | 2007-01 |
Parameters optimization design of PID controller based on ant colony algorithms |
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| YIN Hong-peng,CHAI Yi.Parameters optimization design of PID controller based on ant colony algorithms[J].Computer Engineering and Applications,2007,43(17):4-7. |
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| Authors: | YIN Hong-peng CHAI Yi |
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| Affiliation: | College of Automation，Chongqing University，Chongqing 400044，China |
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| Abstract: | Ant colony algorithm is a new emerging bionic evolutionary algorithm,which employs distributed parallel computer system and is particularly applicable to the solution of Combinatorial Optimization Problems(COP).This paper,giving a brief introduction to the ant colony algorithm,presents a PID algorithm based ant colony algorithm optimization strategy and specific steps to realize it.Simulation results show that the unit step response system reduces the overshoot by 51.5% and 22% respectively and settling time ts decrease to 61.4% and 67.5% respectively,compared to the traditional Ziegler-Nichols(ZN) method and genetic algorithm.The further improvement of the dynamic and static performance proves the feasibility and effectiveness of this method. |
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| Keywords: | ant colony algorithm PID pheromone genetic algorithm ZN method |
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