Application of NMEC-Based Parameter Optimization in Main Steam Temperature Control System

摘要：

Niche technology was introduced in mind evolutionary computation to classify populations, reduce repetitive search and maintain population diversity as well as improve searching efficiency. Based on parameter optimization and tuning for the main steam temperature cascade control systems in power plants with serious parameter uncertainty, multi-disturbance and large delay, the simulation results show that the niche-based mind evolutionary algorithm has the advantages of fast optimization and low computational complexity; it is very effective for PID parameter optimization and endues main steam temperature control systems with better control qualities and better system robustness.

关键词： mind evolutionary computation Niche parameter optimization cascade control systems

作者: Liu QingSong Yue Jingpin

作者单位: Jiaxing University Zhejiang,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1305-1309

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）