Optimization of Controller Parameters Based on the Improved Genetic Algorithms

Guicheng Wang, M. Zhang, Xinhe Xu, C. Jiang
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引用次数: 37

Abstract

Genetic algorithm with many performance indexes is proposed. It can seek an optimal application in the controller parameters. And the concrete implementation method of the improved genetic algorithm is discussed. In the improved genetic algorithm, the constructed formula of many performance indexes is also given and the aspects of formulation have been discussed. Genetic algorithm with many performance indexes has many representative ways, one of which is involved in simulation. The selection of the performance index has considered the coefficient of weight in order to display the importance of every performance index. Simulation results have proved new method have better parameter seek optimally ability than the genetic algorithm with single performance index
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基于改进遗传算法的控制器参数优化
提出了具有多性能指标的遗传算法。它可以在控制器参数中寻求最优的应用。讨论了改进遗传算法的具体实现方法。在改进的遗传算法中,给出了许多性能指标的构造公式,并讨论了构造公式的各个方面。具有多种性能指标的遗传算法有许多具有代表性的方法,其中一种方法被用于仿真。绩效指标的选取考虑了权重系数,以体现各绩效指标的重要性。仿真结果表明,该方法比单一性能指标的遗传算法具有更好的参数寻优能力
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