公式法模糊决策的模糊控制器及其应用研究
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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 fossil-fired 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.
Considering the long-time lag,big inertia and nonlinearity characteristic of main steam temperature system in fossil-fired 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.
引文
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[8]李剑波,王东风,付萍,等.基于改进粒子群算法的主汽温系统PID参数优化[J].华北电力大学学报,2005,32(4):26-29.
[2]刘吉臻,李建强,张栾英,等.用RBF网络整定的火电厂主汽温PID串级控制系统[J].动力工程,2006,26(1.):89-92.
[3]韩峻峰,李玉惠.模糊控制技术[M].重庆:重庆大学出版社,2003.
[4]林梅金,罗飞,李如雄.模糊PID控制器在火电厂主汽温控制中的应用[J].中国动力工程学报,2005,25(2):231-233.
[5]龙升照,汪培庄.Fuzzy模糊控制的自调整问题[J].模糊数学,1982(8):105-112.
[6]涂承宇,涂承媛,杨晓莱,等.模糊控制理论与实践[M].北京:地震出版社,1998.
[7]王东风,韩璞.基于免疫遗传算法优化的汽温系统变参数PID控制[J].中国电机工程学报,2003,23(9):212-217.
[8]李剑波,王东风,付萍,等.基于改进粒子群算法的主汽温系统PID参数优化[J].华北电力大学学报,2005,32(4):26-29.
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