Model-free adaptive control of the combined aircraft with unknown multi-source disturbances and output saturation

IF 5.8 1区工程技术 Q1 ENGINEERING, AEROSPACE

Aerospace Science and Technology Pub Date : 2025-06-24 DOI:10.1016/j.ast.2025.110471

Lixin Liu, Xiao Han, Huijin Fan, Lei Liu, Bo Wang

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引用次数: 0

Abstract

The combined aircraft (CA) is a modular structure consisting of multiple independent aircraft components, which adapt to variant flight tasks. In this work, a data-driven Model-Free Adaptive Control (MFAC) scheme is investigated for the CA in the presence of structural variations, unknown aerodynamic parameters, output saturation, and unknown multi-source disturbances. Firstly, a MFAC was developed to ensure the stability of flight control in response to structural variations, changes in attack angle commands, and unknown aerodynamic parameters. Considering the rapid maneuvers and changes in the attack angle command during the separation process of the CA, when the attack angle command or angular velocity may be large, the physical limitations of the sensor cause the measurement output saturation. Both output saturation data and input data are taken as the online data for MFAC. Then, a Radial Basis Function Neural Network (RBFNN) disturbance observer is designed to estimate unknown multi-source disturbances and compensate the controller. Finally, the effectiveness of the proposed algorithm is illustrated by numerical simulation experiments compared with the PID control and the neural network PID (NNPID) control.

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具有未知多源干扰和输出饱和的组合飞机的无模型自适应控制

组合飞机是由多个独立的飞机部件组成的模块化结构，能够适应不同的飞行任务。在这项工作中，研究了一种数据驱动的无模型自适应控制（MFAC）方案，用于存在结构变化，未知气动参数，输出饱和和未知多源干扰的CA。首先，为了保证在结构变化、攻角指令变化和未知气动参数下飞行控制的稳定性，设计了一种MFAC。考虑到CA在分离过程中的快速机动和攻角命令的变化，当攻角命令或角速度可能较大时，传感器的物理限制导致测量输出饱和。输出饱和数据和输入数据均作为MFAC的在线数据。然后，设计了径向基函数神经网络（RBFNN）扰动观测器来估计未知的多源扰动并对控制器进行补偿。最后，通过数值仿真实验与PID控制和神经网络PID （NNPID）控制进行了比较，验证了所提算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aerospace Science and Technology 工程技术-工程：宇航

CiteScore

10.30

自引率

28.60%

发文量

654

审稿时长

54 days

期刊介绍： Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.