基于模糊近似的非线性飞机动力学重参数化和自适应控制设计

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-10-19 DOI:10.1016/j.jfranklin.2024.107334
Shipeng Wang , Feifei Li , Yanjun Zhang
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引用次数: 0

摘要

本文对基于模糊近似的非对称非线性飞机动力学的重拟态和自适应控制设计进行了新的研究,特别强调将基于线性化的自适应飞行控制设计从局部范围扩展到半全局范围。基于线性化的自适应控制方法由于能够处理飞机系统动力学的复杂性,已被用于管理非对称非线性飞机系统。为了扩大基于线性化方法的应用范围,本文重点研究了一般非正则形式的飞机纵向动态模型。针对这类系统开发了一种基于半全局线性化的自适应控制方法。首先,利用局部线性化模型和相对度概念,设计了一种新的重参数化方法。随后,设计了自适应控制器,以保证对具有不同相对度的飞机系统进行稳定的渐近输出跟踪。新开发的自适应控制方法的效率通过仿真结果得到了验证。
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Fuzzy approximation-based reparametrization and adaptive control design of nonlinear aircraft dynamics
This paper conducts a new study on fuzzy approximation-based reparametrization and adaptive control design of non-canonical nonlinear aircraft dynamics, with particular focus on emphasizing the expansion of linearization-based adaptive flight control designs from local to semi-global scopes. The linearization-based adaptive control method has been employed for managing non-canonical nonlinear aircraft systems, owing to its capability in handling the complexity of aircraft system dynamics. To enhance the operational range of the linearization-based approach, this paper focuses on the aircraft longitudinal dynamic model in general non-canonical forms. A semi-global linearization-based adaptive control method is developed for this kind of system. Firstly, a new reparametrization is devised, leveraging local linearized models and a concept of relative degree. Subsequently, adaptive controllers are designed to guarantee stable and asymptotic output tracking for aircraft systems with various relative degrees. The efficiency of the newly developed adaptive control approach is validated through simulation outcomes.
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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