Optimization of desired dynamic equations using the genetic algorithm

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作者：
Department of Thermal Engineering, Tsinghua University, Beijing 100084, China [1 ]
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来源：
Qinghua Daxue Xuebao | 2006年 / 5卷 / 674-677期
关键词：
Computer simulation - Dynamics - Genetic algorithms - Optimization - Robustness (control systems);
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摘要：
The genetic algorithm was used to optimize the solution of a nonlinear control system based on the solution of the governing dynamic equations. The globally optimal controller parameters were obtained for the controller structure and form by the genetic algorithms. A MIMO nonlinear plant was simulated using the method. The results demonstrate that the method effectively improves the dynamic system characteristics and that the method has good robustness against disturbances and noise for the specified indices.
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