The performance of regulator is obtained by making of a number of experiments with the help of cut and try method.

调速器的工作特性性能及结构参数通常是用试凑方法，通过诸多试验得到。

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But fall exponent method is inconvenient in the data processing by computer as it needs cut-and -try estimation many times.

但由于落差指数法需经反复试算，给电算带来不便。

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In light of traditional PID controller parameters optimization with manual cut-and-try method, a novel kind of PID parameters optimization strategy based on ACA (Ant Colony Algorithm) was proposed.

针对传统的PID控制器参数多采用试验加试凑的方式由人工进行优化，提出了一种新型的基于蚁群算法的PID参数优化策略。

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