Guiding Signal Iterative Learning Control Method with Parameter Learning

doi:10.3969/j.issn.1000-1093.2019.11.021

Abstract

Abstract: An iterative learning control method for guiding signals is proposed to solve the control divergence in using the traditional iterative learning control method in the loading system of air rudder load simulator. The proposed method is improved for improving its intelligence and adaptability and having a faster convergence speed. The control parameters are learned while the iterative learning of the pilot signal is performed, so the proposed control method has dual learning capabilities. Under the actual situation that the initial state of each iteration cycle of the system is inconsistent, the convergence characteristics of the control method are mathematically analyzed and proven, and the sufficient conditions for convergence are finally given. The improved control method is applied to the simulation model of air rudder load simulator loading system for simulation and verification. Compared with the traditional iterative learning control method and the control method without parameter learning, the proposed iterative learning control method with parameter learning has faster convergence speed and better control effect. Key

Key words: guidingsignal, iterativelearningcontrol, parameterlearning, electro-hydraulicservosystem

CLC Number:

TJ765.4⁺2

HUANG Jing, ZHENG Huayi, LI Hong, LI Guoxiu, QIU Cheng. Guiding Signal Iterative Learning Control Method with Parameter Learning[J]. Acta Armamentarii, 2019, 40(11): 2363-2369.

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第40卷
第11期2019 年11月兵工学报ACTA
ARMAMENTARIIVol.40No.11Nov.2019

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