Synchronization and Tracking of Multi‐Spacecraft Formation Attitude Control Using Adaptive Sliding Mode

Abstract

This paper presents the finite-time attitude synchronization and tracking control method of undirected multi-spacecraft formation with external disturbances. First, a modified adaptive nonsingular fast terminal sliding mode surface (ANFTSMS) is designed by introducing a user-defined function, both of which avoid the singularity problem and continuous sliding surface, and, therefore, can freely adjust relative weighting between angular velocity error and attitude error adaptively, such that the controller can provide sufficient maneuvers and precision. This provides designers with a new technique to adjust and improve formation control performance. Second, by applying the ANFTSMS associated with adaptation, two proposed decentralized ANFTSM-controllers provide finite-time convergence, robustness to disturbance, and chattering free for continuous design. Finally, simulation results validate the proposed algorithms.

Neural-Network Based Finite-Time Coordinated Formation Control for Spacecraft Without Unwinding

“…The symbols × and ∨ are introduced in Eqs. (3)(4), whose function is to achieve the transformation between a vector and a skew-symmetric matrix. Some of the relevant calculations are shown in Eqs.…”

“…In recent decades, great advances of automation have injected new ideas and vitality into the control methods for SFF. As a critical technique, the attitude synchronization and tracking control for SFF has become a magnet for application of various strategies, such as robust control [1][2][3] , sliding mode control (SMC) [4][5][6] , backstepping control [6][7] , adaptive control [2][3] , etc. Meanwhile, designing controllers for SFF faces great deal of challenges, involving communication delays, actuator failures, input saturation constraints.…”

Sliding mode synchronization between uncertain Watts-Strogatz small-world spatiotemporal networks

“…Therefore, it has been widely applied in robot control [30] . The sliding mode control shows obvious advantages over other methods, e.g., fast response speed, strong anti-interference, and simple physical implementation [31][32][33] . However, in industrial processes, the systems have inertial related behaviors and measurement errors, which makes the variable structure control be accompanied by high frequency chattering under sliding mode dynamics [34] .…”

Synchronization of non‐linear systems with disturbances subjected to dead‐zone and saturation characteristics in control input using DMVT approach

“…Master-slave synchronization has received a lot of attention in the field of control systems right from the early works of Carroll and Pecora [1]. Recent research has come up with practical applications of synchronization in energy management systems [2], automotive systems [3], secure communication [4], and coordination of multiple robots [5]. But, many of the studies did not incorporate actuator non-linearities and external disturbances due to the additional complexity involved.…”