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lBest-HS algorithm based concurrent L1 adaptive control for non-Linear systems
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DOI：10.1016/j.isatra.2019.07.007.png)
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Abstract
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This paper proposes a new approach for designing stable hybrid L-1 adaptive controller employing (best topological model of harmony search (HS) algorithm. The proposed design approach guarantees desired stability and simultaneously provides satisfactory tracking performance for a class of non-linear systems. The design methodology for the controller utilizes the meta-heuristic global search feature of HS algorithm and the local search phenomenon of L-1 adaptive control strategy in tandem. The paper also analytically describes the superiority of (best topological model compared to the conventional HS algorithm in terms of convergence phenomenon, when hybridized with L-1 adaptive control. The proposed hybrid control methodology has been implemented for benchmark simulation case studies and real-time experimentation to demonstrate its usefulness. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
Keywords:
L-1 adaptive control
Hybrid approaches
Harmony search (HS) algorithm
lbest topological model of HS algorithm
Tracking performances
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