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Optimal Parameter Setting for Hydroturbine Governing Systems Based on Particle Swarm Optimization
Author(s): 
Pages: 9-11,28
Year: Issue:  4
Journal: HYDROPOWER AUTOMATION AND DAM MONITORING

Keyword:  微粒群优化PID水轮机调节;
Abstract: 微粒群优化(PSO)算法是一种随机全局优化技术,该算法简单、容易实现,且功能强大.文中研究了水轮机PID调节器参数的优化问题,利用PSO算法对系统所处的不同状态和工况进行了PID参数寻优.仿真结果表明,此种PID控制器比常规PID有更好的动态调节性能和鲁棒性,不失为一种具有较好实用价值的PID参数优化方法.
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