Linear fractional transformation gain-scheduling flight control preserving robust performance

Author:

Aouf N1,Boulet B2

Affiliation:

1. Department of Informatics and Systems Engineering, Cranfield University, Swindon, UK

2. McGill Centre for Intelligent Machines, McGill University, Montréal, Québec, Canada

Abstract

In this article, a gain-scheduling flight controller design based on a blending/interpolating methodology and an optimal linear fractional transformation (LFT)-based control technique is proposed to achieve robust performances over a wide range of aircraft operating conditions. Representing the non-linear system dynamics into an uncertain LFT system form, our gain-scheduling strategy designs a limited number of robust linear controllers covering the whole range of operating conditions. Using these fixed controllers in a robust performance control set-up, we derive a blending/interpolating scheduling controller, which achieves the desired performance for the entire flight envelope. Our approach offers the benefit of facilitating controller design and provides proofs of robust stability and performance through an uncertain LFT robust performance formulation. In addition, tools analysing the robustness of the closed-loop gain-scheduling system are also provided. Non-linear simulations based on our proposed approach for a B1 flexible aircraft for a limited flight but reasonable flight envelope show very good performance results in both time and frequency domain responses.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Numerical solution for a class of fractional optimal control problems using the fractional-order Bernoulli functions;Transactions of the Institute of Measurement and Control;2021-10-01

2. Control of a small helicopter with linear matrix inequality-based design assuring stability and performance;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2019-09-24

3. A gain-scheduling control strategy and short-term path optimization with genetic algorithm for autonomous navigation of a sailboat robot;International Journal of Advanced Robotic Systems;2019-01-01

4. Gain-Scheduling PID Low-Level Control for Robotic Sailboats;2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE);2018-11

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