A Fast PID Type Parameter Optimal Iterative Learning Control Algorithm for Non-Positive Plants

作     者：LI Hengjie,HAO Xiaohong School of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou,Gansu 730050,P.R.China 

会议名称：《第二十九届中国控制会议》

会议日期：2010年

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：supported by International Cooperation Item of Gansu Province(0708ECGA1145) Doctor Particular Fund of Lanzhou University of Technology(0903ZXC117) 

关 键 词：iterative learning control Proportional integral difference Optimal 

摘      要：In order to obtain faster and more accuracy transient tracking performances for non-positive plants,a fast proportional integral difference（PID）type parameter optimal iterative learning control algorithm is *** the algorithm,the PID type operators are introduced to enhance convergence speed and a suitable set of basis functions is added to avoid the algorithm plunge into local optimal when the plant is not *** proof shows that the algorithm monotone convergence to zero no matter the system plant is positive or ***,simulations show that the algorithm also has a faster convergence speed compare with other similar algorithms.