摘要
针对火电厂主汽温系统的大滞后、大惯性、非线性等特点,在对龙升照等提出的解析式类型控制规则进行改进的基础上,提出了一种新型的模糊控制策略,采用优选法进行参数的寻优,克服了现场操作人员和专家经验的束缚,并引入了偏差积分环节,消除了传统模糊控制存在的静态误差。仿真研究结果表明,这种方法寻优速度快,计算量小,鲁棒性和适应性较强,能大大地提高主汽温系统的控制品质。
Considering the long-time lag,big inertia and nonlinearity characteristic of main steam temperature system in fossilfired power plant,this paper provides a new strategy of fuzzy control through improving the analytic type control rules provided by Shengzhao-Long,using optimization method to optimize parameter.Then it can overcome the limits of the operators and experts experiences.At the same time,it introduces the error integrator to avoid static errors,which exists in the traditional fuzzy control. According to the simulation results,this method is with quick optimization speed,small computation and strong robustness and self-adaptability.So it can enormously enhance the control objects of main steam temperature in power plant.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第27期246-248,共3页
Computer Engineering and Applications
基金
湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.05JJ30121)
中南大学博士研究生学位论文创新选题项目(No.040122)
关键词
主汽温
模糊控制
优选法
偏差积分
main steam temperature
fuzzy control
optimization method
error integrator