基于专家系统与改进遗传算法的PID参数整定

基于专家系统与改进遗传算法的PID参数整定(中文3000字,英文1800字)
摘要：
本文介绍了一种结合专家系统和改进遗传算法，来调整比例积分微分（ PID控制）参数的石化过程控制策略。本策略保留了遗传算法的优点，即收敛速度快和实现全局最优。本策略利用正交实验方法解决的遗传因素的对结果的干扰。结合专家系统可以充分利用设备操作的实际经验，来服务于我们的实验。通过仿真，结果表明了典型工艺系统良好的控制性能和鲁棒性。
关键词：PID参数整定；正交试验法；遗传算法；专家系统

Tuning PID Parameters Based on a Combination of the Expert System and the Improved Genetic Algorithms
Abstract：
A new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative(PID) parameters for petrochemical processes. This retains the advantages of genetic algorithms,namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.

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