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变风量空调系统末端变论域模糊控制
引用本文:王成立,卢建刚.变风量空调系统末端变论域模糊控制[J].计算机应用,2011,31(2):470-472.
作者姓名:王成立  卢建刚
作者单位:1. 浙江大学玉泉校区 工业过程控制国家重点实验室2. 浙江大学 工业过程控制国家重点实验室
基金项目:国家自然科学基金资助项目,国家863计划项目,浙江省科技计划项目,浙江省自然科学基金资助项目
摘    要:针对变风量空调系统非线性、时变性和难以建立精确模型的特点,提出一种具有自适应能力的变论域模糊控制,以提高控制系统的控制速度和精度,使系统具有更好的动态性能和准确性。在推导VAV末端装置模型的基础上,进行了仿真实验。仿真结果表明,与传统PID控制和常规模糊控制比较,变论域模糊控制提高了系统的动静态特性和系统的稳态精度,从而使模糊控制器的性能得到了较大的改善,具有良好的控制效果。

关 键 词:变风量空调系统    变论域    模糊控制
收稿时间:2010-06-22
修稿时间:2010-08-02

Variable discourse fuzzy control of VAV air-conditioning terminal unit
WANG Cheng-li,LU Jian-gang.Variable discourse fuzzy control of VAV air-conditioning terminal unit[J].journal of Computer Applications,2011,31(2):470-472.
Authors:WANG Cheng-li  LU Jian-gang
Affiliation:(State Key Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou Zhejiang 310027,China)
Abstract:Concerning the nonlinearity, time variant and imprecise model in the Variable Air Volume(VAV) air-conditioning systems, an adaptive variable discourse fuzzy control was proposed to improve the dynamic performance and accuracy of the control system. Based on derivation of VAV air-conditioning terminal model, simulation was conducted. The simulation results show that compared with the traditional PID control and conventional fuzzy control, variable discourse fuzzy control improves the system dynamic and static characteristics and steady state accuracy. Therefore, the fuzzy controller's performance has been greatly improved with good control effect.
Keywords:Variable Air Volume (VAV) air-conditioning system                                                                                                                        variable discourse                                                                                                                        fuzzy control
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