Extended State Observer Based Generalized Predictive Control for Aircraft at High Angle of Attack

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-07-02 DOI:10.1007/s12555-022-0318-y
Junjie Liu, Yuehui Ji, Liang Xu, Zengqiang Chen
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Abstract

This paper presents a linear compound control strategy for nonlinear aircraft system at high angle of attack. Firstly, extended state observers are designed to overcome model dependence by estimating and compensating the total disturbances including the parameters uncertainties and strong coupling among channels. Secondly, the controlled subsystems are approximately converted to linear integrals based on dynamics compensation linearization, respectively. Subsequently, the generalized predictive controllers are designed based on the integral type prediction model instead of solving the Diophantine equation online, which reduces the computation burden of inverse control incremental matrix. Finally, some simulation results and analysis for aircraft at high angle of attack are carried out to prove the effectiveness of the proposed control strategy.

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基于扩展状态观测器的飞机高迎角广义预测控制
本文介绍了高攻角非线性飞机系统的线性复合控制策略。首先,设计了扩展状态观测器,通过估计和补偿包括参数不确定性和通道间强耦合在内的总干扰来克服模型依赖性。其次,在动态补偿线性化的基础上,分别将受控子系统近似转换为线性积分。然后,基于积分型预测模型设计广义预测控制器,而不是在线求解 Diophantine 方程,从而减轻了逆控制增量矩阵的计算负担。最后,针对高攻角飞行器进行了一些仿真结果和分析,以证明所提控制策略的有效性。
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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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