摘要
为了改善汽轮机调速系统的动态响应特性以及稳定性,采用模糊PID复合控制,首先建立对象的数学模型,并通过差分进化算法对控制器参数离线寻优,最后基于Matlab平台对方法进行了验证.仿真结果表明:该方法在处理负载突变情况时,相比传统的PID控制器有更好的响应,稳定时间和超调率均有较大改进;当模型参数发生改变时,模糊PID复合控制也有更好的鲁棒性.该方法结合了模糊控制的快速动态响应以及PID控制的稳态性能,具有超调小、鲁棒性好、响应快等优点,明显改善了汽轮机转速调节系统的控制品质.
To satisfy the higher control performance requirement of the steam turbine speed governing system, a fuzzy PID（proportional integral derivative） controller is presented. Firstly the mathematical model of this object is built, and then a differential evolution is used to tune the controller parameters, finally this controller are simulated on Matlab. The results show that the method has many merits including small overshoot, good robustness and fast response compared with the conventional PID controller. So the control performances of the steam turbine speed governing system can be obviously improved by this method, which adopts the advantages of fuzzy controller and PID controller.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第B09期84-87,共4页
Journal of Southeast University：Natural Science Edition
基金
国家自然科学基金资助项目(60934007)
教育部新世纪人才计划资助项目(NCET-08-0359)
上海市青年科技启明星跟踪计划资助项目(11QH1401300)
关键词
汽轮机转速调节
模糊控制
PID控制
差分进化
有差控制
steam turbine speed control
fuzzy control
PID （ proportional integralyderivative） control
differential evolution
control with steady state error
