基于人工免疫算法的煤气监控系统PID参数优化

M. Xian-min, Wen Chen
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引用次数: 1

摘要

针对煤矿瓦斯监测控制系统,提出了一种基于免疫算法的PID调速控制器参数优化设计方案。介绍了免疫算法的原理,讨论了基于免疫算法的PID控制器参数策略。根据抗原和抗体之间的响应,优化PID控制器参数,使局部风机调节快速稳定。仿真结果表明,与传统整定方法相比,免疫算法PID控制器具有更快的响应时间和更小的超调量。既提高了局部风机的调节时间,又达到了节能降风的目的。该控制系统具有较强的鲁棒性和较高的跟踪性能,适用于煤矿环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of PID parameters for coal gas monitored control system based on aritificial immune algorithm
Based on immune algorithm a novel optimization design scheme of PID speed controller parameters is proposed for the coal mine gas monitored control system in this paper. The principle of Immune algorithm is introduced, and the strategy of PID controller parameters based immune algorithm is discussed. According to the response between antigen and antibody, the PID controller parameters are optimized in order to make the local fan adjusted quickly and stably. The simulation show that immune algorithm PID controller has a faster response time and smaller overshoot compared with the traditional tuning method. It not only improved the adjusting time of local fan, but also achieved energy saving and wind saving. The strong robustness and high tracking performance of the control system applies to the coal mine environment.
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