基于NAR-IBA的水轮机调速系统频率控制优化  

Optimization of frequency control of water turbine speed regulation system based on NAR-IBA

作　　者：陈强 王华英 王威 CHEN Qiang;WANG Huaying;WANG Wei(College of Electrical Engineering and Automation,Jiangxi University of Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学电气工程与自动化学院,江西赣州341000

出　　处：《传感器与微系统》2023年第8期58-61,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61363011);江西省自然科学基金资助项目(20151BAB207024)。

摘　　要：针对多数水轮机调速系统非线性强、传统PID控制器调节精度低且调节时间长等缺点,提出了改进蝙蝠算法(IBA),对速度添加自适应控制策略,将频率由随机赋值改为动态变值,扩大了搜索范围的同时,有效减低陷入局部最优的效果。并且引入变异算法来增强的搜索能力和提高优化精度。通过仿真加入频率扰动和负荷扰动对水轮机调速系统的动态特性进行验证,结果表明:所提算法能有效优化水轮机调速系统PID参数。Aiming at the disadvantages of strong nonlinearity of most speed regulation systems of water turbine,low regulation precision and long regulation time of traditional PID controller,propose improved bat algorithm(IBA),add an adaptive control strategy to the speed of the BA,and changes the random assignment of frequency to dynamic variable value,which expands the search range of the BA and effectively reduces its effect of falling into local optimum.The mutation algorithm is introduced to enhance the search ability of BA and improve the optimization priecision,so as to complete the parameter optimization of traditional PID controller.By simulation,add frequency disturbance and load disturbance into the system,the dynamic characteristics of hydroturbine speed regulation system are observed.The results show that the proposed algorithm can be effectively applied to the PID parameter optimization of hydroturbine speed regulation system.

关 键 词：蝙蝠算法 反向学习 动态变频 变异算法 水轮机调速系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]