Robust Adaptive Variable Structure Control of Spacecraft Under Control Input Saturation

2001 ◽  
Vol 24 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Jovan D. BoÏskovic ◽  
Sai-Ming Li ◽  
Raman K. Mehra
Keyword(s):  
Input Saturation ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Control Input ◽  
Structure Control ◽  
Robust Adaptive

scholarly journals Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongwei Wang ◽  
Shufeng Lu ◽  
Xiaojuan Song
Keyword(s):  
Neural Network ◽  
Input Saturation ◽  
Variable Structure Control ◽  
Parametric Uncertainty ◽  
Variable Structure ◽  
Control Input ◽  
State Variables ◽  
Adaptive Neural Network ◽  
Structure Control ◽  
Network Variable

This study addresses the problem of attitude maneuver control for a three-axis stabilized liquid-filled spacecraft using an adaptive neural network variable structure control algorithm in the presence of parametric uncertainty, external disturbances, and control input saturation. The liquid fuel is equivalent to a spherical pendulum model, and the coupled dynamic model of liquid-filled spacecraft is derived using the conservation law of angular momentum moment. Then, adaptive variable structure control technique is designed, which contains hyperbolic tangent function that preserves control smoothness at all times. The proposed control algorithm has the properties that state variables converge to the origin asymptotically under parametric uncertainty and external disturbance. Furthermore, the controller derived here is extended by adding a feed-forward saturation compensation scheme to reduce the influence of unknown control input saturation on the system. Also, the saturation compensation scheme is derived by using a radial basis function neural network to approximate the unknown saturation nonlinearity. The associated stability proof of the resulting closed-loop system is presented based on Lyapunov analysis, and asymptotic convergence of the state variables is guaranteed via the Barbalat lemma. Numerical simulations are presented to illustrate the spacecraft performance obtained by using the proposed controllers.

Robust Adaptive Synchronization of Dynamic Networks With Varying Time Delay Coupling Using Variable Structure Control

2014 ◽  
Author(s):  
Vesna M. Ojleska ◽  
Dilek (Bilgin) Tükel ◽  
Georgi M. Dimirovski
Keyword(s):  
Sliding Mode ◽  
Dynamic Networks ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Adaptive Synchronization ◽  
Left Eigenvector ◽  
Structure Control ◽  
Synchronization Problem ◽  
Varying Time Delay ◽  
Robust Adaptive

The synchronization problem for a class of delayed complex dynamical networks via employing variable structure control has been explored and a solution proposed. The synchronization controller guarantees the state of the dynamical network is globally asymptotically synchronized to arbitrary state. The switching surface has been designed via the left eigenvector function of the system, and assures the synchronization sliding mode possesses stability. The hitting condition and the adaptive law for estimating the unknown network parameters have been used for designing the controller hence the network state hits the switching manifold in finite time. Two illustrative examples along with the respective simulation results are given, which employ the designed variable structure controllers.

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