冷却水温差模糊滑模迭代学习控制算法  

Fuzzy Sliding Mode Iterative Learning Control Algorithm for Cooling Water Temperature Difference

作　　者：许珂 闫秀英[1] XU Ke;YAN Xiuying(School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,Shaanxi,China)

机构地区：[1]西安建筑科技大学建科学院,陕西西安710000

出　　处：《制冷技术》2022年第5期57-61,共5页Chinese Journal of Refrigeration Technology

基　　金：陕西省低能耗建筑节能创新示范工程(No.2017ZDXM-GY-025)。

摘　　要：本文采用了模糊滑模迭代学习控制算法(FSMILC),将其应用于具有较大不确定性的冷却水温差控制系统。变结构控制的切换函数及其变化率作为模糊控制的输入,模糊控制的输出作为迭代学习控制的温差控制增量。利用MATLAB进行仿真实验,分析了在无干扰和有连续干扰两种情况下,FSMILC算法与PID算法应用于冷却水温差控制系统的控制效果。结果表明,FSMILC算法在无干扰情况下系统超调量仅为PID算法的66.67%;在系统存在外界干扰时,该算法超调量仅为PID算法的41.66%;FSMILC算法相比PID算法不仅响应速度明显提高,而且抗干扰能力大幅改善。In this paper, a fuzzy sliding mode iterative learning control algorithm(FSMILC) is used to apply it to a cooling water temperature difference control system with greater uncertainty. The switching function of sliding mode control and the rate of change of the switching function are used as the input of fuzzy control, and the output of fuzzy control is used as the control increment of iterative learning control. Using MATLAB to carry out simulation experiments, the control effect comparison of FSMILC algorithm and PID algorithm applied to the cooling water temperature difference control system is analyzed under the condition of no interference and continuous interference. The results show that the system overshoot of the FSMILC algorithm is only 66.67% of the PID algorithm when there is no interference;when there is continuous interference, the system overshoot is only 41.66% of the PID algorithm;the FSMILC algorithm not only improves the response speed significantly compared to the PID algorithm, and the anti-interference ability is greatly improved.

关 键 词：冷却水温差控制 模糊滑模 迭代学习控制 切换函数 

分 类 号：TB611[一般工业技术—制冷工程] TP391.9[自动化与计算机技术—计算机应用技术]