摘要
针对水轮机调节系统的非线性特性和"水锤"效应,结合人工蜂群算法(ABC)搜索过程精细、全局收敛性较强的特点,提出一种改进模糊人工蜂群算法(MFABC),将其应用于不同扰动工况下的水轮机调节系统中,并利用Matlab强大的仿真能力完成水轮机调节系统参数的优化。通过仿真实验,验证了所提出的MFABC算法较Ziegler Nichols算法、模糊PID算法、粒子群算法和标准ABC算法在全局搜索能力和收敛速度方面的有效性和优越性,保证该方案下系统能获得更好的动态性能。该仿真实验既可加深学生对水轮机调速器参数优化问题的认识与理解,也有利于提高学生的实验仿真能力。
In view of the non-linearity and "Water hammer" effect of hydraulic turbine governing system and in combination with the characteristics of the fine searching process and strong global convergence of the artificial bee colony algorithm(ABC), a modified fuzzy artificial bee colony(MFABC) algorithm is proposed. It is applied to the hydraulic turbine governing system under different disturbance conditions, and the parameters of the turbine governing system are optimized by using the powerful simulation ability of Matlab. The simulation results show that the proposed MFABC algorithm is more effective and superior than Ziegler Nichols algorithm, fuzzy PID algorithm, particle swarm optimization algorithm and standard ABC algorithm in global search ability and convergence speed so that the system can obtain better dynamic performance under this scheme. This simulation experiment can not only deepen students’ understanding of parameter optimization of the hydraulic turbine governor, but also improve students’ experimental simulation ability.
作者
陈功贵
谭晓霞
郭艳艳
刘耀
CHEN Gonggui;TAN Xiaoxia;GUO Yanyan;LIU Yao(Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Mechanical and Electronic School, Wuhan Railway Vocational College of Technology, Wuhan 430205, China;School of Education, Sichuan International Studies University, Chongqing 400031, China)
出处
《实验技术与管理》
CAS
北大核心
2019年第5期21-27,共7页
Experimental Technology and Management
基金
重庆市高等教育教学改革研究课题(162022)
重庆邮电大学教育教学改革项目(XJG1718,XFZ1705)
关键词
水轮机调节系统
ABC算法
动态性能
hydraulic turbine regulating system
ABC algorithm
dynamic performance
