Title :
Proportional difference type iterative learning control algorithm based on parameter optimization
Author :
Hao, Xiaohong ; Owens, David ; Daley, Steve
Author_Institution :
Sch. of Electr. & Inf. Eng. Sci., Lanzhou Univ. of Technol., Lanzhou
Abstract :
In order to enhance learning efficiency and obtain more accuracy transient tracking performances in iterative domain, a proposition difference type operator constructed ldquofive termsrdquo parameter optimal iterative learning control algorithm based on norm performance index is proposed. The convergence condition and necessary theoretic proof is given. And the reasons why the algorithm has better learning efficiency and monotone convergence performance are discussed in detail. Finally, a class of parameter optimal iterative learning control algorithm tracking performances with different structure is compared. Simulation show that the tracking error of the proposed algorithm in this paper converges monotonically and faster than other similar algorithms.
Keywords :
adaptive control; convergence of numerical methods; iterative methods; learning systems; optimal control; optimisation; monotone convergence performance; norm performance index; parameter optimal iterative learning control algorithm; parameter optimization; proportional difference type iterative learning control algorithm; Iterative algorithms; Proportional control; Convergence Analysis; Iterative Learning Control; Parameter Optimal; Proposition Difference;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597904