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Enhanced L 1 adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation
Author(s) -
Yousef Hassan A,
Hamdy Mohamed,
Saleem Ashraf,
Nashed Kyrillos,
Mesbah Mustafa,
Shafiq Muhammad
Publication year - 2019
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.3033
Subject(s) - control theory (sociology) , particle swarm optimization , controller (irrigation) , benchmark (surveying) , fuzzy logic , transient (computer programming) , computer science , fuzzy control system , control engineering , engineering , algorithm , control (management) , artificial intelligence , geodesy , agronomy , biology , geography , operating system
Summary This paper investigates the problem of the high precision tracking control of piezoelectric actuators (PEAs) without using the inverse of the uncertain hysteresis. Based on fuzzy system approximator and particle swarm optimization (PSO) algorithm, a proposed enhanced L 1 adaptive controller is developed. The proposed controller provides fast and robust adaptation simultaneously with guaranteed desired transient performance. Moreover, it has a simple form and requires fewer adaptation parameters. The adaptation gain is determined via PSO algorithm. The proposed controller is tested on a lab‐scale PEA system. Experimental results with comparative studies with different techniques have been developed. The simulation results reveal that the proposed controller outperforms the other controllers in terms of normalized root‐mean‐square and maximum tracking errors for different frequencies.