Neural network-based distributed adaptive attitude synchronization control of spacecraft formation under modified fast terminal sliding mode

Zhao, Lin; Jia, Yingmin

doi:10.1016/j.neucom.2015.06.063

Cited by 85 publications

(51 citation statements)

References 44 publications

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“…Assume the interaction topology shown in Figure 2. The inertia matrix J i and the initial attitude of the spacecraft are different from In order to test the robustness of the proposed algorithm to inertia uncertainty, we multiply the inertia matrices in Table 1 by a factor of cos(0.05t) on the time interval of [0,20].…”

Section: Simulation Studymentioning

confidence: 99%

“…[1][2][3][4][5][6][7] There have been numerous valuable research studies on attitude control of spacecraft, such as adaptive attitude synchronization control, [8][9][10][11][12] finite-time attitude coordination control, [13][14][15][16] and fast terminal sliding-mode control. [17][18][19][20] Because of fuel consumption and onboard payload working such as rotation of solar arrays, the inertia of spacecraft is time-varying. Therefore, it is practical to consider the impact of inertia variation on the system.…”

Section: Introductionmentioning

confidence: 99%

“…8,13,15,20 Yang et al 8 studied the problem of attitude tracking control for spacecraft formation with external disturbances and designed an adaptive control method to fulfill attitude synchronization under a directed communication topology. Du et al 13 studied the finite-time attitude control problems for multiple spacecraft and proposed a distributed finite-time attitude control law to guarantee the tracking errors to reach a region around the origin with leader-follower architecture.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive fault‐tolerant attitude tracking control for spacecraft formation with unknown inertia

Zhu

Guo

2017

Adaptive Control & Signal

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SummaryIn this paper, an adaptive fault-tolerant attitude coordinated tracking problem for spacecraft formation is investigated under a directed communication topology containing a spanning tree with the leader as the root, where inertia matrices and external disturbances are unknown time-varying. With no prior knowledge of faults and inertia, an adaptive approach is proposed to reject the influence of disturbances and uncertainties. Meanwhile, combining with a consensus algorithm and graph theory, an adaptive fault-tolerant attitude synchronization tracking control law is presented to regulate the attitude to a common time-varying reference state. Aiming at optimizing the control law, a dynamic adjustment function is introduced to adjust the control gain according to the attitude tracking error. The effectiveness of the proposed control approach is demonstrated through simulation results.

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Section: Simulation Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive fault‐tolerant attitude tracking control for spacecraft formation with unknown inertia

Zhu

Guo

2017

Adaptive Control & Signal

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“…The requirements for the accurate control on relative positions and synchronization between spacecraft are the major challenges. Attitude synchronization , as one of the most critical issue of SFF, has been widely investigated in recent years (eg, see other works()). In these literature works, several algorithms on attitude synchronization have been proposed to achieve asymptotic/exponential stability in infinite convergence time.…”

Section: Introductionmentioning

confidence: 99%

Neural network–based reconfiguration control for spacecraft formation in obstacle environments

Zhou

Chen

Xia

et al. 2018

Intl J Robust & Nonlinear

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Summary This paper proposes an adaptive formation reconfiguration control scheme based on the leader‐follower strategy for multiple spacecraft systems. By taking the predesigned desired velocities and the trajectories as reference signals, a set of coordination tracking controllers is constructed by combining the reconstructed dynamic system and the neural network–based reconfiguration algorithm together. To avoid collisions between spacecraft and obstacles during the formation configuration process, the null space–based behavioral control is integrated into the control design. Since the spacecraft dynamics contains unknown nonlinearity and disturbance, it is challenging to make the system robust to uncertainties and improve the control precision simultaneously. To solve this problem, both the adaptive neural network strategy and the finite‐time control theory are employed. Finally, 2 simulation examples are carried out to verify the proposed algorithm, showing that the formation reconfiguration task can be executed successfully while achieving high control precision.

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“…In each pair, the leader takes charge of tracking a predefined trajectory while the follower keeps track of the leader and maintains the desired distance and relative angle. Adopting this idea, various control methods have been developed for multirobot systems, that is, robust control [10], [11], predictive control [12], adaptive control [4], [13], [14], decentralized control [15], [16], feedback linearization [17], and sliding mode control [18]- [24], to name just a few.…”

Section: Introductionmentioning

confidence: 99%

Leader-Following Formation Control of Multiple Robots with Uncertainties through Sliding Mode and Nonlinear Disturbance Observer

Qian

2016

ETRI J

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This paper presents a control scheme for the leader‐following formation of multiple robots. The control scheme combines the sliding mode control (SMC) method with the nonlinear disturbance observer (NDOB) technique. The formation dynamics suffer from uncertainties because the individual robots are uncertain. Concerning such formation uncertainties, the leader‐following formation dynamics are modeled. Assuming that the formation uncertainties have an unknown boundary, an NDOB‐based observer was designed to estimate the formation uncertainties. A sliding surface containing the observer outputs has been defined. Regarding the sliding surface, an SMC‐based controller was investigated to form uncertain robots. A sufficient condition in the sense of the Lyapunov theory was proven such that the formation system is asymptotically stable. Herein, some comparison results between the sole SMC method and the second‐order SMC method are presented to demonstrate the effectiveness and feasibility of the control scheme for multiple robots in the presence of uncertainties.

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Neural network-based distributed adaptive attitude synchronization control of spacecraft formation under modified fast terminal sliding mode

Cited by 85 publications

References 44 publications

Adaptive fault‐tolerant attitude tracking control for spacecraft formation with unknown inertia

Adaptive fault‐tolerant attitude tracking control for spacecraft formation with unknown inertia

Neural network–based reconfiguration control for spacecraft formation in obstacle environments

Leader-Following Formation Control of Multiple Robots with Uncertainties through Sliding Mode and Nonlinear Disturbance Observer

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