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Variable structure model reference adaptive control with integration
Author(s) -
Feng Gang
Publication year - 1996
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/(sici)1099-1115(199607)10:4/5<489::aid-acs377>3.0.co;2-p
Subject(s) - control theory (sociology) , bounding overwatch , integrator , robustness (evolution) , reference model , upper and lower bounds , adaptive control , computer science , variable structure control , variable (mathematics) , mathematics , sliding mode control , bandwidth (computing) , control (management) , artificial intelligence , nonlinear system , computer network , mathematical analysis , biochemistry , chemistry , physics , software engineering , quantum mechanics , gene
A new variable structure model reference adaptive control scheme with integration is proposed to achieve robustness to modelling uncertainties in this paper. A key feature of this scheme is that the knowledge of neither the parameters of the upper bounding function on the modelling uncertainties nor the upper bound on the norm of the matching controller parameters is required. Other advantages of the scheme are its excellent transient performance and asymptotic zero output tracking error. Simulation results demonstrated that the chattering of the scheme is effectively compensated by incorporation of an integrator.