Mixed H2/H∞ robust controllers in aircraft control problem
Satybaldina D. Dabayeva A. Kissikova N. Uskenbayeva G. Shukirova A.
December 2023Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2023#13Issue 66249 - 6258 pp.
A leading cause of accidents during the landing phase of a flight lies in a considerable altitude loss by an aircraft as a result of the impact of a microburst of wind. One of the significant factors focuses primarily on the need to simultaneously satisfy various requirements regarding conditions of environmental disturbances and a wide range of systemic changes. The paper presents an algorithm for synthesizing an optimal controller that solves the mixed H2/H∞ control problem for the stabilization of aircraft in glide-path landing mode in the presence of uncertainty. Firstly, the principles of multi-criteria optimization are presented, and the mixed H2/H∞ problem is interpreted as the synthesis of a system with optimal quadratic performance, subject to its readiness to operate with the worst disturbance. Then, the ensuing section expounds upon the mathematical depiction of the vertical trajectory of aircraft, duly considering the perturbations imposed by wind phenomena. Subsequently, the effectiveness of mixed H2/H∞ control is confirmed compared to autonomous H2 or H∞ regulators through simulation outcomes acquired from the created system. Optimization based on a hybrid (mixed) criterion allowed combining the strengths of locally optimal systems based only on H2 or H∞ theory.
Aircraft control , Aircraft landing , Mixed H2/H∞ control , Multi-objective optimization , Robust control
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Department of System Analysis and Control, Faculty of Information Technologies, L.N. Gumilyov Eurаsiаn National University, Astana, Kazakhstan
Department of System Analysis and Control, Faculty of Information Technologies, L.N. Gumilyov Eurаsiаn National University, 11 Pushkin st., Astana, Z00T8E0, Kazakhstan
Department of System Analysis and Control
Department of System Analysis and Control
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