Predictive adaptive control of plants with online structural changes based on multiple models | Zendy

Lourenço J. M. | Zendy; Lemos J. M. | Zendy

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Predictive adaptive control of plants with online structural changes based on multiple models

Author(s) -

Lourenço J. M.,

Lemos J. M.

Publication year - 2008

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/acs.1024

Subject(s) - benchmark (surveying) , controller (irrigation) , position (finance) , model predictive control , control theory (sociology) , adaptive control , computer science , adaptation (eye) , multiple models , stiffness , control (management) , engineering , artificial intelligence , economics , finance , physics , geodesy , optics , structural engineering , agronomy , biology , geography

The objective of this paper is to present a new algorithm to improve the adaptation rate of a predictive adaptive controller. For that sake, the possible plant dynamic outcomes are covered by a bank of models. Each model is used to re‐initialize the adaptive controller every time there is a large change in dynamics. The contribution of the paper consists in the development of a procedure that includes additional models in the bank when found suitable according to defined criteria. The algorithm is demonstrated in a benchmark problem consisting of the position control of two masses coupled by a spring of varying stiffness. Copyright © 2008 John Wiley & Sons, Ltd.

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