Command Filtered Backstepping-Based Attitude Containment Control for Spacecraft Formation

Zhao, Lin; Yu, Jinpeng; Shi, Peng

doi:10.1109/tsmc.2019.2896614

Cited by 73 publications

(60 citation statements)

References 55 publications

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“…en, the command-filtered backstepping is established, in which the virtual control' differentiation is approximated by the output of the filter and the error caused by the command filter is compensated by the error compensation system [20,21]. Zhao et al [22] proposed the adaptive control for multiple spacecraft systems by using command-filtered backstepping, but the system models are assumed to be completely known.…”

Section: Introductionmentioning

confidence: 99%

“…(1) Compared with the traditional backstepping and DSC-based controller design methods in [14,18,31], the proposed command-filtered backstepping-based controller design method can not only avoid the traditional explosion terms but also eliminate the error caused by the used command filter by using the compensation system. (2) Compared with the command-filtered backsteppingbased controller design method in [22] with the complete known system model, the proposed adaptive neural control design method can solve the problem of unknown nonlinear dynamics by using NN approximation technique. In addition, the Nussbaum function will be extended to facilitate control design to deal with the UCD problem that is not considered in [14,18,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…(2) Compared with the command-filtered backsteppingbased controller design method in [22] with the complete known system model, the proposed adaptive neural control design method can solve the problem of unknown nonlinear dynamics by using NN approximation technique. In addition, the Nussbaum function will be extended to facilitate control design to deal with the UCD problem that is not considered in [14,18,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Distributed Adaptive Neural Consensus Tracking Control for Multiple Euler-Lagrange Systems with Unknown Control Directions

Meng

Zhao

2020

Complexity

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This paper investigates the distributed adaptive neural consensus tracking control for multiple Euler-Lagrange systems with parameter uncertainties and unknown control directions. Motivated by the Nussbaum-type function and command-filtered backstepping technique, the error compensations and neural network approximation-based adaptive laws are established, which can not only overcome the computation complexity problem of backstepping but also make the consensus tracking errors reach to the desired region although the control directions and system nonlinear dynamics are both unknown. Numerical example is given to show the proposed algorithm is effective at last.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Distributed Adaptive Neural Consensus Tracking Control for Multiple Euler-Lagrange Systems with Unknown Control Directions

Meng

Zhao

2020

Complexity

Self Cite

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“…erefore, designing a finite-time FTC scheme is of great significance. In [33][34][35][36][37][38], the issues of finite-time stability were investigated for fault-free cases. Two finite-time command filtered backstepping-based controllers were proposed in [33,34], which guarantee the finite-time tracking property.…”

Section: Introductionmentioning

confidence: 99%

“…In [33][34][35][36][37][38], the issues of finite-time stability were investigated for fault-free cases. Two finite-time command filtered backstepping-based controllers were proposed in [33,34], which guarantee the finite-time tracking property. In order to solve the problem of finitetime FTC, a number of control schemes have been developed in [39][40][41] and applied to spacecraft attitude control.…”

Section: Introductionmentioning

confidence: 99%

Robust Finite-Time Tracking for Uncertain Linear Systems with Actuator Faults

2020

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In this paper, a robust finite-time fault-tolerant control (FTC) scheme is developed for uncertain linear systems in the presence of actuator faults. Since the system uncertainties and actuator faults are unknown, the controller parameters are updated online by the adaptive laws without the need for fault detection and isolation. It is proved that the proposed state-feedback model reference adaptive finite-time FTC scheme can guarantee that the tracking error converges to a small neighborhood of the origin in finite time. An application example for an aircraft lateral-directional dynamic system is presented to show the effectiveness of the proposed control scheme.

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Adaptive fuzzy finite‐time consensus tracking for multiple Euler‐Lagrange systems with unknown control directions

LiuGuoqing

Zhaolin

2020

Adaptive Control & Signal

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In this paper, the problem of adaptive fuzzy finite-time consensus tracking control for multiple Euler-Lagrange systems (ELSs) with uncertain dynamics and unknown control directions (UCDs) is investigated. The computational complexity problem in conventional backstepping is avoided by using finite-time command filter (FTCF), and the error in the filtering process is eliminated through error compensation signals. The fuzzy logic system combined with the adaptive control technique is applied to approximate and estimate the unknown nonlinear dynamics of ELS. The Nussbaum function-based continuous and nonsmooth input control torque is established to eliminate the influence of UCDs, and the proposed control scheme can guarantee the consensus tracking errors converge to the desired neighborhood of the origin within a finite time. Numerical simulation is used to test the effectiveness of the given algorithm.

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Command Filtered Backstepping-Based Attitude Containment Control for Spacecraft Formation

Cited by 73 publications

References 55 publications

Distributed Adaptive Neural Consensus Tracking Control for Multiple Euler-Lagrange Systems with Unknown Control Directions

Distributed Adaptive Neural Consensus Tracking Control for Multiple Euler-Lagrange Systems with Unknown Control Directions

Robust Finite-Time Tracking for Uncertain Linear Systems with Actuator Faults

Adaptive fuzzy finite‐time consensus tracking for multiple Euler‐Lagrange systems with unknown control directions

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