ROBUST HEURISTIC ITERATIVE LEARNING CONTROL METHOD FOR METAL BAR TEMPERATURE DISTRIBUTION SYSTEM

WIPO Patent Application WO/2022/088857

A1

A robust heuristic iterative learning control method for a metal bar temperature distribution system. The method comprises: for a metal bar system, discretizing a metal bar thermodynamic equation by using a finite difference method, so as to obtain a partial recursion equation, and then converting same into a spatial interconnection system model; and converting the model into an equivalent one-dimensional dynamic model by using a boost vector technique, designing a controller based on state feedback, and then constructing, by using same, a controller based on output information, wherein a controlled object is converted into an equivalent discrete repetitive process according to a designed iterative learning law, and a comprehensive controller problem is converted into a linear matrix inequality on the basis of stability analysis of the repetitive process. The method is simple and can be easily implemented, solves the problem of nonconvexity stability generally caused by static output feedback, takes the problems of model uncertainty and disturbance attenuation of a system into consideration, and has a good control performance and robustness.

TAO HONGFENG (CN)
ZHOU LONGHUI (CN)
ZHUANG ZHIHE (CN)
WEI JUNYU (CN)

PCT/CN2021/112985

May 05, 2022

August 17, 2021

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UNIV JIANGNAN (CN)

G05D23/32; G05D23/30

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US20160092616A1	2016-03-31
KR20020050015A	2002-06-26
JP2008181452A	2008-08-07

WUXI HUAYUAN PATENT AND TRADEMARK AGENCY (GENERAL PARTNERSHIP) (CN)

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