变风量空调送风静压控制仿真研究

发布时间：2019-05-12 10:34

【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。
[Abstract]:The stable control of VAV air supply static pressure system is not only the premise to meet the demand of terminal system, but also the key to affect the regulation quality of the whole system. However, in the actual control process, the nonlinear of the controlled object is not only the premise. Uncertainty and other characteristics make the conventional PID control algorithm difficult to meet the requirements, easy to cause control instability. Therefore, the modeling and control of VAV air supply static pressure system are studied. The static pressure control model of air supply subsystem is established by system identification method, and the generalized predictive control (GPC) algorithm is used to determine the parameter values by simulation, and it is compared with PID algorithm. On this basis, the GPC algorithm is deployed on the experimental platform and the control is completed. The simulation results and experimental results show that the GPC algorithm has better follow-up and adaptability to the disturbance caused by step response control and load change, and the control effect is better than the traditional PID algorithm. It is suitable for static pressure control process of air conditioning system.
【作者单位】：西安建筑科技大学理学院;西安建筑科技大学信息与控制工程学院;
【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)
【分类号】：TB657.2;TP273

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