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机构地区:[1]北京信息科技大学自动化学院,北京100192
出 处:《北京信息科技大学学报(自然科学版)》2009年第3期64-67,共4页Journal of Beijing Information Science and Technology University
基 金:北京市教委科技发展计划资助项目(KM200910772010);北京市属市管高校人才强教计划资助项目(PHR200907124)
摘 要:火电厂水质调节加药系统为大时滞时变被控对象。模糊免疫自适应PID控制和常规Sm ith控制难以取得令人满意的控制品质。借鉴生物免疫反馈响应过程的调节作用和模糊推理的自适应性,以及Sm ith预估器可以解决系统时滞性的特点,提出了将模糊免疫自适应PID控制器和Sm ith预估器组合成复合控制器的控制策略。用模糊免疫P调节器实时整定PID控制器的比例增益,用模糊控制器在线整定PID控制器的积分时间常数和微分时间常数。仿真研究表明,该控制算法具有调节时间短,系统稳定性强,抗干扰能力强等优点,取得了令人满意的控制效果。Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfactory. Refering to the regulation process of the biological immune system, the adaptability of the fuzzy inference and the capability of Smith predictor in solving delay problem, the control strategy of combining fuzzy immune adaptive controller and Smith predicting controller into a compound controller was proposed. The fuzzy immune P regulator is used to set the proportional gain of the PID controller in real-time. The fuzzy controller is used to set the integration time constant and the differential time constant. Simulation results show that this control algorithm has the advantages of short settling time, strong stability, strong noise immunity and so on. The control effect is satisfactory.
关 键 词:模糊免疫 自适应 Smith—PID控制 火电厂 水质调节系统
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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