摘要
针对循环流化床锅炉(CFB),常规的模糊控制器和模糊自适应控制器不能良好地解决其燃烧系统本身具有的大滞后,以及影响因素之间存在的强耦合和非线性,提出了一种优化型的锅炉燃烧控制系统。引入麻雀搜索算法(SSA)和动态论域的思想,实现伸缩因子调整模糊论域,使燃烧系统减弱对模糊控制的依赖性,提高了响应速率的同时,减小了动态超调量,具有很好的动态性能及稳态性能,同时具有良好的跟随性,解决了系统静差不能消除的问题,提高了在实际应用中的效果。
Aiming at circulating fluidized bed boiler(CFB),the conventional fuzzy controller and fuzzy adaptive controller can not well solve the big lag of the combustion system itself,as well as the strong coupling and nonlinearity among the influencing factors,an optimized boiler combustion control system is proposed. It introduces the sparrow search algorithm(SSA)and the ideas of the theory of dynamic domain,realize the scaling factor adjustment established fuzzy comprehensive domain,weakening the combustion system of fuzzy control,the dependence of improved response rate at the same time,reduces the dynamic overshoot,has a good dynamic performance and steady-state performance,good follow at the same time,to eliminate the system static error can’t solve problems. It improves the effect in practical application.
作者
骆东松
钱强
LUO Dongsong;QIAN Qiang(School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050)
出处
《舰船电子工程》
2022年第11期164-168,共5页
Ship Electronic Engineering
