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Robust Backstepping Control for Cold Rolling Main Drive System with Nonlinear Uncertainties
Author(s) -
Xu Yang,
Kaixiang Peng,
Chaonan Tong
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/387890
Subject(s) - control theory (sociology) , backstepping , nonlinear system , controller (irrigation) , compensation (psychology) , lti system theory , robustness (evolution) , computer science , control engineering , engineering , linear system , mathematics , adaptive control , control (management) , physics , psychology , mathematical analysis , quantum mechanics , artificial intelligence , psychoanalysis , agronomy , biology , biochemistry , chemistry , gene
The nonlinear model of main drive system in cold rolling process, which considers the influence with parameter uncertainties such as clearance and variable friction coefficient, as well as external disturbance by roll eccentricity and variation of strip material quality, is built. By transformation, the lower triangular structure form of main drive system is obtained. The backstepping algorithm based on signal compensation is proposed to design a linear time-invariant (LTI) robust controller, including a nominal controller and a robust compensator. A comparison with PI controller shows that the controller has better disturbance attenuation performance and tracking behaviors. Meanwhile, according to its LTI characteristic, the robust controller can be realized easily; therefore it is also appropriated to high speed dynamic rolling process

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