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新型模糊PID控制及在HVAC系统的应用
引用本文:吕红丽,段培永,崔玉珍,贾磊.新型模糊PID控制及在HVAC系统的应用[J].控制理论与应用,2009,26(11):1277-1281.
作者姓名:吕红丽  段培永  崔玉珍  贾磊
作者单位:1. 山东建筑大学信息与电气工程学院,山东济南,250101
2. 山东大学控制科学与工程学院,山东济南,250061
基金项目:山东省自然科学基金资助项目 
摘    要:为了推广模糊控制器在非线性系统中的应用,提出一种利用PID控制器的参数优化和调节模糊控制器的新型设计方法.通过模糊控制器的结构分析建立与PID控制之间的精确解析关系之后提出基于PID控制增益因子的模糊控制器设计算法,然后利用改进的变论域思想进一步优化模糊控制器设计参数.将其应用于暖通空调(HVAC)系统的节能控制中并与常规PID控制器相比较,仿真和实验结果表明这种模糊控制器具有超调量小、跟踪迅速、鲁棒性强等优越的控制性能.

关 键 词:模糊控制  PID控制  结构分析  变论域  暖通空调系统
收稿时间:2008/1/10 0:00:00
修稿时间:2/3/2009 12:00:00 AM

Novel fuzzy PID control and application to HVAC systems
LV Hong-li,DUAN Pei-yong,CUI Yu-zhen and JIA Lei.Novel fuzzy PID control and application to HVAC systems[J].Control Theory & Applications,2009,26(11):1277-1281.
Authors:LV Hong-li  DUAN Pei-yong  CUI Yu-zhen and JIA Lei
Affiliation:Information and Electric Engineering College,Shandong Jianzhu Unversity,Information and Electrical Engineering College, Shandong Jianzhu University,Information and Electrical Engineering College, Shandong Jianzhu University,School of Control Science and Engineering, Shandong University
Abstract:In order to extend the application of fuzzy controller to nonlinear systems, a new fuzzy control strategy converted directly from the PID controller is proposed. The mathematical relation between the parameters of the fuzzy controller and the linear gain of the conventional PID controller is derived based on the structure analysis of fuzzy controller. Based on this mathematical relation, the fuzzy controller is designed through the gain-tuning in the PID controller. Furthermore, the improved variable universe method is employed to optimize the parameter tuning of the fuzzy controller on line. This new fuzzy controller is also applied to energy-saving control in heating, ventilating, and air-conditioning(HVAC) systems. The comparison of the simulation results between this fuzzy controller and the conventional PID controller shows that this fuzzy controller is effective and the algorithm provides less overshoot, shorter setting time and better robustness, etc.
Keywords:fuzzy control  PID control  structure analysis  variable universe  HVAC systems
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