Modeling and Prescribed Performance Control for Cold Rolling Mill HAGC System with Measurement Delay
作者单位：Institute of Electrical EngineeringYanshan University Department of AutomationShanghai Jiao Tong University
会议名称：《第36届中国控制会议》
会议届次：36
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：partially supported by National Natural Science Foundation of China(61290322,61673335,61603329,61603330,61503323) Basic Research Program of Hebei Province(F2016203467) Hebei Province Applied Basis Research Project(15967629D) Top Talents Project of Hebei Province and Yanshan University Project(13LGA020)
关 键 词：HAGC system prescribed performance control time-delay adaptive neural network
摘 要：In this paper, the modeling and prescribed performance control(PPC) problem is investigated for cold rolling mill system. First, considering the measurement delay and disturbances in practical process, a mathematical model is established for the cold rolling mill hydraulic automatic gauge control(HAGC) system. Then, based on a state transformation with the performance index function, a predefined performance control scheme is proposed to guarantee both transient-state and steadystate performances. In addition, adaptive neural networks approach is employed to approximate the uncertainties in the controller design procedure. It is proved that the proposed controller can guarantee the stability of the closed-loop system in the sense of uniformly ultimately boundedness. Finally, simulation results illustrate the effectiveness of the proposed method.