会议论文详细信息
2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation
TRANSIENT BEHAVIOR IMPROVEMENT OF ITERATIVE LEARNING CONTROL SYSTEM BASED ON PSEUDOSPECTRUM METHOD
Liu, Bin^1 ; Li, Jiming^1
School of Electrical and Information Engineering, Northeast Petroleum University, Northeast Petroleum University, Daqing Heilongjiang
163318, China^1
关键词: Asymptotic performance;    Convergence rates;    Iterative learning control;    Iterative learning control systems;    Monotonic convergence;    Stability of control;    Transient behavior;    Transient growth;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/4/042022/pdf
DOI  :  10.1088/1757-899X/569/4/042022
来源: IOP
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【 摘 要 】

Robust monotonic convergence (RMC) should be obtained when designing ILC (Iterative learning control) system. But it may cause convergence rate becoming slower. In order to maintain stability of control system, transient growth is often limited within a certain range, which is one of the most properties of transient behaviors. Pseudospectral of the system transfer matrix is introduced to predict the transient growth of ILC system. At the same time, asymptotic performance can be improved if the transient growth is kept small. Under this case, the convergence rate will also be speeded up. The simulation demonstrates the effective of new method for designing ILC system.

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