摘要
变风量空调送风静压系统的稳定控制不仅是满足末端系统需求的前提,更是影响整体系统调节品质的关键,而实际控制过程中,被控对象的非线性、不确定性等特点使得常规PID控制算法难以满足要求,容易造成控制的不稳定。为此,研究变风量空调送风静压系统的建模与控制问题。采用系统辨识方法建立送风子系统静压控制模型,采用广义预测控制(GPC)算法并通过仿真确定各参数值;将其与PID算法进行对比。在此基础上,将GPC算法部署于实验平台并完成控制。仿真研究及实验结果表明,所采用的GPC算法对于阶跃响应控制及负荷变化引起的扰动情况具有较好的跟随性及适应性,控制效果优于传统PID算法,适用于空调系统定静压控制过程。
The stability of control for supply air static pressure in variable air volume air conditioning system is not only the premise to the demand of the terminal system, but also the key to the whole system. However, in the field control process, the nonlinearity and uncertainty of the controlled object makes it difficult to meet the require- ments by the conventional PID control algorithm. For this purpose, modeling and control methods of the static pressure system in variable air volume air conditioning system is studied. The system identification method is used to establish the static pressure control model of the air supply subsystem, and the GPC algorithm is designed and the pa- rameters are determined by the simulation test. And a comparative study is carried out between GPC and PID algorithms. Based on this, the GPC algorithm is deployed on the experimental platform to complete the control. The simulation and experimental results show that the proposed GPC control algorithm has significant advantages over the traditional PID algorithm in the aspects of tracking and anti - disturbance ability in the case of step response control and load variation disturbance respectively. The control effect of GPC is superior to the traditional PID algorithm, which is suitable for the static pressure control of air conditioning system.
作者
白燕
任庆昌
BAI Yan REN Qing - chang(School of Science, Xi＇an University of Architecture and Technology, Xi＇an Shanxi 710055, China School of Information and Control Engineering, Xi＇an University of Architecture and Technology, Xi＇an Shanxi 710055, China)
出处
《计算机仿真》
北大核心
2017年第4期292-297,共6页
Computer Simulation
基金
国家自然科学基金资助项目(51508446)
陕西省教育厅自然科学专项基金项目(14JK1396)
西安建筑科技大学基础研究基金项目(JC1516)
关键词
中央空调
变风量
系统辨识
Central air conditioning system
Variable air volume
System identification
