Parameter Optimization for Turbine DEH Control System Based on Improved Genetic Algorithm

摘要：

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.

关键词： Genetic Algorithm Digital Electrical Hydraulic (DEH) control system parameter optimization

作者: Na Li Lixia Lv

作者单位: North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3326-3328

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）