首页> 外文会议>2011 IEEE International Conference on Computer Science and Automation Engineering >Optimization of PID parameters for coal gas monitored control system based on aritificial immune algorithm
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Optimization of PID parameters for coal gas monitored control system based on aritificial immune algorithm

机译:基于人工免疫算法的煤气监控系统PID参数优化。

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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.
机译:基于免疫算法,针对煤矿瓦斯监控系统,提出了一种新的PID速度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,以使本地风扇快速,稳定地进行调整。仿真结果表明,与传统的整定方法相比,免疫算法的PID控制器具有更快的响应时间和更小的过冲。不仅缩短了局部风机的调节时间,而且还实现了节能省风。控制系统的强大鲁棒性和高跟踪性能适用于煤矿环境。

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