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基于模糊线性化预测模型的HVAC系统温度控制
引用本文:吕红丽,贾磊,王雷,高瑞,CAI Wen-jia. 基于模糊线性化预测模型的HVAC系统温度控制[J]. 控制与决策, 2006, 21(12): 1412-1416
作者姓名:吕红丽  贾磊  王雷  高瑞  CAI Wen-jia
作者单位:山东大学,控制科学与工程学院,济南,250061;南洋理工大学,电力电子工程学院,新加坡,639798
基金项目:山东省优秀中青年科学家科研奖励基金项目(031B5147).
摘    要:针对暖通空调(HVAC)系统难以控制的问题,提出一种基于max-product推理的Mamdani模糊模型预测控制策略.首先利用一步模糊预测模型的结构分析得到其解析表达式,获得系统在k+1时刻的线性化预测模型;然后基于模糊线性化模型进行模型预测控制器设计.对HVAC系统的仿真和实验结果表明,该算法是一种跟踪性能好且鲁棒性强的有效控制算法.

关 键 词:HVAC 系统  Mamdani 模糊模型  预测控制  线性化
文章编号:1001-0920(2006)12-1412-05
收稿时间:2005-09-19
修稿时间:2006-01-04

Model Predictive Control Based on Fuzzy Linearization Technique for Temperature Control of HVAC Systems
LV Hong-li,JIA Lei,WANG Lei,GAO Rui,CAI Wen-jian. Model Predictive Control Based on Fuzzy Linearization Technique for Temperature Control of HVAC Systems[J]. Control and Decision, 2006, 21(12): 1412-1416
Authors:LV Hong-li  JIA Lei  WANG Lei  GAO Rui  CAI Wen-jian
Abstract:A new Mamdani fuzzy model predictive control strategy based on max-product inference is proposed in order to control the Heating,Ventilating and Air-conditioning(HVAC) systems.An expression is obtained via the structure analysis expression of the Mamdani fuzzy model.Then the fuzzy linearization predictive models at k+1 sampling instant and at P horizon predictive output are designed.Finally simulation results show that the proposed fuzzy model based-on predictive control approach is effective for HVAC systems temperature control.Compared with the conventional PID control approaches,this fuzzy model predictive control approach has the advantages of less overshoot and shorter setting time.
Keywords:HVAC systems   Mamdani fuzzy model   Predictive control   Linearization
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