Article: A new design of adaptive model following control system for lateral motion of aircraft Journal: International Journal of Systems, Control and Communications (IJSCC) 2020 Vol.11 No.4 pp.364 - 380 Abstract: In this paper, a new design of an adaptive model following control (AMFC) system is proposed and analysed for a class of multi-input multi-output (MIMO) linear time-varying plants with unknown bounded parameters, and sufficiently slowly varying with time. We then show that the new approach based on combined Lyapunov method and hyper-stability criteria tries to overcome the problems of stability and zero tracking error. The main difficulty of Lyapunov methods is in finding an appropriate Lyapunov control function for the closed-loop system, therefore different choices of Lyapunov functions may result in different control structures and control performance. We show that the design of AMFC for the class of linear time-varying systems could be composed of a stable linear block in the feed forward path which turns out to be easily solvable by Lyapunov equation and a nonlinear time-varying block in the feedback path can be handled with using adaptive control techniques, such that the closed-loop dynamics of the system approaches the reference model. This structure results in greater flexibility in the choice of the adaptive laws. Finally, a typical numerical example to an aircraft control problem is analysed. Inderscience Publishers - linking academia, business and industry through research

Title: A new design of adaptive model following control system for lateral motion of aircraft

Authors: Abdelkader Maddi; Abderrezak Guessoum; Daoud Berkani

Addresses: Electronics Department, Faculty of Technology, Saad Dahlab University of Blida, Algeria ' Electronics Department, Faculty of Technology, Saad Dahlab University of Blida, Algeria ' Department of Electrical Engineering, National Polytechnic School of Algiers, Algeria

Abstract: In this paper, a new design of an adaptive model following control (AMFC) system is proposed and analysed for a class of multi-input multi-output (MIMO) linear time-varying plants with unknown bounded parameters, and sufficiently slowly varying with time. We then show that the new approach based on combined Lyapunov method and hyper-stability criteria tries to overcome the problems of stability and zero tracking error. The main difficulty of Lyapunov methods is in finding an appropriate Lyapunov control function for the closed-loop system, therefore different choices of Lyapunov functions may result in different control structures and control performance. We show that the design of AMFC for the class of linear time-varying systems could be composed of a stable linear block in the feed forward path which turns out to be easily solvable by Lyapunov equation and a nonlinear time-varying block in the feedback path can be handled with using adaptive control techniques, such that the closed-loop dynamics of the system approaches the reference model. This structure results in greater flexibility in the choice of the adaptive laws. Finally, a typical numerical example to an aircraft control problem is analysed.

Keywords: adaptive control; model following; Lyapunov function; hyperstability criteria; aircraft model.

DOI: 10.1504/IJSCC.2020.110849

International Journal of Systems, Control and Communications, 2020 Vol.11 No.4, pp.364 - 380

Accepted: 09 Feb 2020
Published online: 30 Oct 2020 *

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Title: A new design of adaptive model following control system for lateral motion of aircraft

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