Decentralized sliding-mode control for spacecraft attitude synchronization under actuator failures

Wu, Baolin; Wang, Danwei; Poh, Eng Kee

doi:10.1016/j.actaastro.2014.10.011

Cited by 37 publications

(21 citation statements)

References 30 publications

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“…Apparently, according to the reverse of the previous procedure, the predefined constraint condition (8) can be satisfied under the condition (11).…”

Section: Prescribed Performancementioning

confidence: 99%

“…It is proved that all the signals in the closed-loop system are bounded, and the prescribed tracking performances are guaranteed. Two decentralized sliding mode control laws were proposed and analyzed for spacecraft attitude synchronization under actuator failures, and the results could be extended to the case with control input saturation in the second controller [11]. 256 R. CHANG ET AL.…”

mentioning

confidence: 99%

“…In recent years, some results on the decentralized control problem under actuator saturation have been reported. Two decentralized sliding mode control laws were proposed and analyzed for spacecraft attitude synchronization under actuator failures, and the results could be extended to the case with control input saturation in the second controller [11]. The decentralized H 1 controller was designed for a multi-zone space heating system, which is an interconnected dynamical system subject to external disturbances and input saturation [10].…”

mentioning

confidence: 99%

“…However, the aforementioned decentralized control methods in [2][3][4][5][6][7][8][9][10][11][12][13] are for non-switched nonlinear interconnected large-scale systems; therefore, they cannot be used to deal with the switch nonlinear large-scale systems.…”

mentioning

confidence: 99%

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Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Chang

Fang

Liu

et al. 2016

Adaptive Control & Signal

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A decentralized prescribed performance adaptive tracking control problem is investigated for Markovian jump uncertain nonlinear interconnected large-scale systems. The considered interconnected large-scale systems contain unknown nonlinear uncertainties, unknown control gains, actuator saturation, and Markovian jump signals, and the Markovian jump subsystems are in the form of triangular structure. First, by defining a novel state transformation with the performance function, the prescribed performance control problem is transformed to stabilization problem. Then, introducing an intermediate control signal into the control design, employing neural network to approximate the unknown composite nonlinear function, and based on the framework of the backstepping control design and adaptive estimation method, a corresponding decentralized prescribed performance adaptive tracking controller is designed. It is proved that all the signals in the closed-loop system are bounded, and the prescribed tracking performances are guaranteed. A numerical example is provided to illustrate the effectiveness of the proposed control strategy. 256 R. CHANG ET AL. constraint and recurrent fuzzy neural networks were used to achieve a prescribed tracking performance for a strict-feedback nonlinear dynamic system, the decentralized adaptive recurrent fuzzy neural networks control scheme was proposed in [6]. Based on the backstepping recursive design technique and the prescribed performance technique, a new adaptive fuzzy output-feedback control method was developed for a class of nonlinear large-scale systems, such that the tracking errors converged to an adjustable neighborhood of the origin with the prescribed performance bounds [7].For the interconnected large-scale systems, actuator saturation can lead to a cascading effect, and then, it may result in overall system collapse. An example of a cascading effect caused by actuator saturation is the 3 August 1996 blackout in Malaysia [8]. In recent years, some results on the decentralized control problem under actuator saturation have been reported. For example, a novel decentralized adaptive neural control scheme was proposed for a class of interconnected large-scale uncertain nonlinear time-delay systems with input saturation [9]. The decentralized H 1 controller was designed for a multi-zone space heating system, which is an interconnected dynamical system subject to external disturbances and input saturation [10]. Two decentralized sliding mode control laws were proposed and analyzed for spacecraft attitude synchronization under actuator failures, and the results could be extended to the case with control input saturation in the second controller [11]. The decentralized adaptive neural control was studied for a class of interconnected nonlinear systems with input saturation in [12,13].However, the aforementioned decentralized control methods in [2][3][4][5][6][7][8][9][10][11][12][13] are for non-switched nonlinear interconnected large-scale systems; therefore, they cannot be used to dea...

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“…Apparently, according to the reverse of the previous procedure, the predefined constraint condition (8) can be satisfied under the condition (11).…”

Section: Prescribed Performancementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Chang

Fang

Liu

et al. 2016

Adaptive Control & Signal

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“…Many works on attitude control have been reported, and different approaches are proposed [3][4][5][6]. Due to their small weight, high reliability and agility, reaction wheels are commonly used actuators that store and exchange angular momentum to generate the necessary torques to perform attitude maneuvers.…”

Section: Introductionmentioning

confidence: 99%

Robust attitude maneuver control of spacecraft with reaction wheel low-speed friction compensation

Wang

Radice

et al. 2015

Aerospace Science and Technology

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Adaptive finite‐time actuator fault‐tolerant coordinated attitude control of multispacecraft with input saturation

Zhu

Guo

Gao

2019

Adaptive Control & Signal

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SummaryIn this study, for nonrigid spacecraft formation, a distributed adaptive finite‐time actuator fault‐tolerant (FTAFT) coordinated attitude tracking control (CATC) issue is addressed. Aiming at stabilizing the spacecraft formation flying system during a limited time, two distributed adaptive FTAFT CATC strategies are presented. Initially, on basis of distributed finite‐time observer (DFTO), adaptive control, consensus approach, graph theory, and finite‐time theory, we develop a distributed adaptive FTAFT coordinated attitude tracking controller to repress the impact of the external state‐dependent and state‐independent disturbance, unknown time‐varying inertia uncertainty, and actuator fading or fault. Then, combining with the proposed controller, a distributed adaptive FTAFT control law with input saturation subjected to physical limitations of actuator is further designed. In addition, a self‐adjusting matrix (SAM) is proposed to improve the actuators' performance. With the two proposed CATC strategies, the followers can synchronize with the leader. Simulations demonstrated the validity of the designed control laws.

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Decentralized sliding-mode control for spacecraft attitude synchronization under actuator failures

Cited by 37 publications

References 30 publications

Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Decentralized prescribed performance adaptive tracking control for Markovian jump uncertain nonlinear systems with input saturation

Robust attitude maneuver control of spacecraft with reaction wheel low-speed friction compensation

Adaptive finite‐time actuator fault‐tolerant coordinated attitude control of multispacecraft with input saturation

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