基于改进遗传算法的汽轮机DEH控制系统参数优化

2010 Chinese Control and Decision Conference Pub Date : 2010-05-26 DOI:10.1109/CCDC.2010.5498598

Na Li, Lixia Lv

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引用次数: 7

摘要

采用改进遗传算法对汽轮机DEH调节系统进行参数优化。该算法有效地避免了过早收敛，提高了全局和局部搜索能力。优化结果表明，该方法具有计算速度快、精度高、程序通用性好的优点。为汽轮机调节系统参数优化提供了一条新的途径。

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Parameter optimization for turbine DEH control system based on Improved Genetic Algorithm

Improved Genetic Algorithm is used for parameter optimization of turbine DEH governing system. The algorithm can avoid the premature convergence effectively and improve the global and local search ability. The optimization results show that such method has the advantages of fast computation, high precision, and better program generality. It provides a new way for parameter optimization of steam turbine governing system.

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来源期刊

2010 Chinese Control and Decision Conference

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