Genetic Optimization Algorithm of PID Decoupling Control for VAV Air-Conditioning System

作     者：王江江 安大伟 张春发 荆有印 WANG Jiangjiang1,AN Dawei2, ZHANG Chunfa1, JING Youyin1 (1. School of Energy and Power Engineering, North China Electric Power University, Baoding 071003, China;2. School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China)

作者机构：School of Energy and Power Engineering North China Electric Power University School of Environment Science and Engineering Tianjin University 

出 版 物：《Transactions of Tianjin University》 (天津大学学报（英文版）)

年 卷 期：2009年第15卷第4期

页      面：308-314页

核心收录：

学科分类：080705[工学-制冷及低温工程] 08[工学] 0807[工学-动力工程及工程热物理] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：Supported by Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education of China 

主　　题：genetic algorithm decoupling control PID control variable air volume air-conditioning system 

摘      要：Variable-air-volume (VAV) air-conditioning system is a multi-variable system and has multi coupling control loops. While all of the control loops are working together, they interfere and influence each other. A multivariable decoupling PID controller is designed for VAV air-conditioning system. Diagonal matrix decoupling method is employed to eliminate the coupling between the loop of supply air temperature and that of thermal-space air temperature. The PID controller parameters are optimized by means of an improved genetic algorithm in floating point representations to obtain better performance. The population in the improved genetic algorithm mutates before crossover, which is helpful for the convergence. Additionally the micro mutation algorithm is proposed and applied to improve the convergence during the later evolution. To search the best parameters, the optimized parameters ranges should be amplified 10 times the initial ideal parameters. The simulation and experiment results show that the decoupling control system is effective and feasible. The method can overcome the strong coupling feature of the system and has shorter governing time and less over-shoot than non-optimization PID control.