变风量空调系统温湿度解耦控制
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摘要
变风量空调系统是一个非线性、大滞后、多变量的系统,简单的PID控制对非线性系统控制效果较差,控制精度不高。针对变风量空调系统控制过程中,送风量-房间温度、送风温度-房间湿度两控制回路间存在耦合的现象。采用神经网络算法进行解耦控制,以消除耦合。首先,应用最小二乘法建立被控对象控制回路的数学模型,其次,采用PID神经网络解耦控制算法和交叉解耦控制算法对存在耦合的回路进行解耦控制。最后,进行仿真分析,并加载到空调系统中进行验证。
Variable air volume air conditioning system is a non-linear, large delay, multi-variable system, simple PID control on the non-linear system control effect is poor, control precision is not high.In the control process of variable air volume air conditioning system, the two control loops of air supply-room temperature and air supply temperature-room humidity are coupled.In this paper, neural network algorithm is used for decoupling control to eliminate coupling. Firstly, the mathematical model between control loops of the controlled object is established by using the least square method. Secondly, PID neural network decoupling control algorithm and cross decoupling control algorithm are adopted to decouple control the coupled circuits. Finally,the simulation analysis is carried out and the validation is carried out in the air conditioning system.
Variable air volume air conditioning system is a non-linear, large delay, multi-variable system, simple PID control on the non-linear system control effect is poor, control precision is not high.In the control process of variable air volume air conditioning system, the two control loops of air supply-room temperature and air supply temperature-room humidity are coupled.In this paper, neural network algorithm is used for decoupling control to eliminate coupling. Firstly, the mathematical model between control loops of the controlled object is established by using the least square method. Secondly, PID neural network decoupling control algorithm and cross decoupling control algorithm are adopted to decouple control the coupled circuits. Finally,the simulation analysis is carried out and the validation is carried out in the air conditioning system.
引文
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[12]刘拴强,刘晓华,江亿.温湿度独立控制空调系统中独立新风系统的研究(1):湿负荷计算[J].暖通空调,2010,40(1):80-84.
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[2]徐玮,张九根,杨伟斌,等.自适应遗传算法在变风量空调系统解耦控制中的应用[J].仪表技术与传感器,2017,(4):95-99,103.
[3]Zhang H,Zhao W.Decoupling control of steering and driving system for in-wheel-motor-drive electric vehicle[J].Mechanical Systems&Signal Processing,2018,101:389-404.
[4]徐颖,谢林柏.多变量时滞系统的伴随解耦控制[J].控制工程,2017,24(5):927-932.
[5]冯增喜,任庆昌.MFAC和前馈补偿组合的VAV系统解耦控制仿真[J].计算机仿真,2014,31(9):402-406.
[6]王茹,陶泽炎.基于模糊前馈解耦的变风量空调控制方法研究[J].计算机测量与控制,2015,23(2):450-453,456.
[7]白辰,樊垚,任章,杨鹏.基于模糊神经网络的MIMO系统自适应解耦控制[J].北京航空航天大学学报,2015,41(11):2131-2136.
[8]汪炼,张向南.洁净区温湿度自控系统的内膜PID前馈补偿解耦算法研究[J].自动化技术与应用,2016,35(5):24-30.
[9]麦雪凤.智能解耦控制在过程控制实验装置上的设计与实现[J].实验室研究与探索,2017,36(5):139-143,263.
[10]Meng Q,Yan X,Ren Q,et al.Variable air volume air-conditioning experiment system with advanced controls[J].Indoor&Built Environment,2016,25(1):114-127.
[11]Zhong Z,Xu X,Zhang X,et al.Simulation Based Control Performance Evaluation of a Novel Fuzzy Logic Control Algorithm for Simultaneously Controlling Indoor Air Temperature and Humidity Using a Direct Expansion(DX)Air-conditioning(A/C)System[J].Procedia Engineering,2017,205:1792-1799.
[12]刘拴强,刘晓华,江亿.温湿度独立控制空调系统中独立新风系统的研究(1):湿负荷计算[J].暖通空调,2010,40(1):80-84.
[13]马燕.UPFC控制策略研究及交叉解耦控制器设计[D].鞍山:辽宁科技大学,2015.