Fuzzy-Approximation-Based Novel Back-Stepping Control of Flexible Air-Breathing Hypersonic Vehicles with Nonaffine Models

Author:

Li Xingge1ORCID,Li Gang2ORCID

Affiliation:

1. Graduate College, Air Force Engineering University, Xi’an, China

2. Air and Missile Defense College, Air Force Engineering University, Xi’an, China

Abstract

This article investigates a novel fuzzy-approximation-based nonaffine control strategy for a flexible air-breathing hypersonic vehicle (FHV). Firstly, the nonaffine models are decomposed into an altitude subsystem and a velocity subsystem, and the nonaffine dynamics of the subsystems are processed by using low-pass filters. For the unknown functions and uncertainties in each subsystem, fuzzy approximators are used to approximate the total uncertainties, and norm estimation approach is introduced to reduce the computational complexity of the algorithm. Aiming at the saturation problem of actuator, a saturation auxiliary system is designed to transform the original control problem with input constraints into a new control problem without input constraints. Finally, the superiority of the proposed method is verified by simulation.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

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. A novel neural prescribed performance control design for constrained flexible hypersonic vehicles with compensation system;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2022-03-04

2. A concise funnel robust model-free control mechanism for hypersonic space vehicles based on error driving;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2021-06-11

3. Parameter Adaptive Terminal Sliding Mode Control of Flexible Coupling Air-Breathing Hypersonic Vehicle;International Journal of Aerospace Engineering;2020-07-11

4. A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles;International Journal of Engineering;2020-03

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