By using ability of fuzzy reasoning, realize at-line adjust to PID controller parameter, to achieve optimize control.

利用模糊控制器的模糊推理能力来实现PID控制器参数在线调整，以达到优化控制的目的。

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Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.

探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。

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For two kinds of PID controller, we know how to optimize parameter is a key problem. In this paper, we select the Genetic Algorithms as a search way and get good effect.

对于两种PID控制策略来说，最关键的部分在于如何优化控制器参数，在本文中我们采用了遗传算法这一新型的优化搜索方法，并取得了较好的效果。

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For two kinds of PID controller, we know how to optimize parameter is a key problem. In this paper, we select the Genetic Algorithms as a search way and get good effect.

对于两种PID控制策略来说，最关键的部分在于如何优化控制器参数，在本文中我们采用了遗传算法这一新型的优化搜索方法，并取得了较好的效果。

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