Title :
Model reference adaptive control using multiple controllers and switching
Author :
Paul, Ayanendu ; Safonov, Michael G.
Author_Institution :
Dept. of Electr. Eng. (syst.), Univ. of Southern California, Los Angeles, CA, USA
Abstract :
In this paper, we develop an adaptive multi controller system to solve the MRAC problem using unfalsified control theory. Switching is done among the candidate controllers based on some suitably defined performance index, which is obtained without actually inserting the candidate controllers in the feedback loop. Though prior knowledge about the nominal plant structure or its parameters is useful to select the initial set of candidate controllers, this method makes no use nor tries to identify the plant structure or its parameters while deciding the optimal switching sequence among the candidate controllers. Simulation results are presented to indicate successful switching strategy. We also compare this approach with the switching scheme developed by Narendra for the MRAC problem.
Keywords :
feedback; model reference adaptive control systems; performance index; switching; MRAC; adaptive multi controller system; candidate controllers; feedback loop; model reference adaptive control; multiple controllers; optimal switching; performance index; unfalsified control theory; Adaptive control; Adaptive systems; Control systems; Feedback loop; Optimal control; Polynomials; Programmable control; Switches; Transfer functions; Upper bound;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1271645