Fixed-Time Observer-Based Sliding Mode Control of Air-Breathing Hypersonic Vehicles Subject to Multisource Uncertainties and Actuator Faults

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS
Weiqiang Tang, Chengchao Jia, Wenke Shi, Tianpeng Xu, Haiyan Gao
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引用次数: 0

Abstract

A composite control scheme is proposed for an air-breathing hypersonic vehicle at the presence of multisource uncertainties and actuator faults. Firstly, the dynamic model of the vehicle is transformed into five control-oriented subsystems. Then, the improved fixed-time sliding mode observer is used to estimate the uncertainties caused by elastic effects, external disturbances and actuator faults, these uncertainties are further compensated in the integral terminal sliding mode control laws. Finally, the stability of the closed-loop system is analyzed, the result shows that the designed control system is asymptotically stable. Compared with the disturbance observer-based robust backstepping control system, the designed control system has great advantages in settling time and control efforts, and has strong robustness to multisource disturbances and actuator faults.

Abstract Image

多源不确定性和执行器故障下吸气式高超声速飞行器的固定时间观测器滑模控制
针对吸气式高超声速飞行器存在多源不确定性和执行器故障的情况,提出了一种复合控制方案。首先,将整车动力学模型转化为5个面向控制的子系统;然后,利用改进的定时滑模观测器估计由弹性效应、外部干扰和执行器故障引起的不确定性,并在积分终端滑模控制律中对这些不确定性进行补偿。最后对闭环系统的稳定性进行了分析,结果表明所设计的控制系统是渐近稳定的。与基于扰动观测器的鲁棒反步控制系统相比,所设计的控制系统在稳定时间和控制力度方面具有很大的优势,并且对多源扰动和执行器故障具有较强的鲁棒性。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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