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Model reference adaptive control applied to electrical machines
Author(s) -
Unbehauen H.,
Keuchel U.
Publication year - 1992
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.4480060203
Subject(s) - control theory (sociology) , adaptive control , robustness (evolution) , reference model , control engineering , computer science , controller (irrigation) , open loop controller , control (management) , engineering , closed loop , artificial intelligence , biochemistry , chemistry , software engineering , biology , gene , agronomy
This contribution reports about a discrete‐time robust adaptive control strategy for single‐input/single‐output systems with arbitrary zeros. The adaptive algorithm is mainly based on a direct model reference method. The basic idea presented here is to divide the feedback law into a direct adaptive and a fixed part. By a certain choice of the non‐adaptive controller parameters the robustness of the adaptive control loop with respect to unmodelled dynamics of the plant may be increased. The non‐adaptive part of the controller can be reformulated as a bypass to the plant and will be denoted as the ‘correction network’ owing to its action on the open‐loop zeros of the augmented plant. The new adaptive control strategy removes the major drawbacks of model reference control and is investigated for speed control of a DC motor and voltage control of a synchronous generator.