A Fast Parameter Optimal Iterative Learning Control Algorithm
In order to obtain faster and more accuracy transient tracking performances in iterative domain,a highorder proportional integral difference type parameter optimal iterative learning control algorithm based on norm performance index is proposed. In the algorithm,the proportional integral difference type operator is introduced to expend the dimension of the algorithm and to increase the free-degree of the optimal parameter. Theoretic proof shows that the convergence of the algorithm is monotonic no matter the plant is positive or not,and the tracking error will converge monotonically to zero when the plant is positive. Finally,simulations show that the tracking error of the proposed algorithm converges monotonically and faster than other similar algorithms.
proportional integral difference optimal iterative learning control convergence
Hengjie Li Xiaohong Hao Weitao Xu
School of Electrical and Information Engineering Lanzhou University of Technology Lanzhou,Gansu,730050,China
国际会议
成都
英文
375-379
2008-01-01（万方平台首次上网日期，不代表论文的发表时间）