Abstract
AbstractA novel, effective, and feasible attitude-orbit cooperative control algorithm with adaptive sliding mode control and neural network is developed in this study. The algorithm is analyzed and...
Highlights
In recent years, small-scale spacecraft in low earth orbit (LEO) have been widely used in complex missions for fast access and global coverage
If the influence of orbit control on attitude is ignored for practicality, there will be some disturbances to the attitude of small satellites during the course of orbit control
Attitude-orbit cooperative control was investigated for a satellite system with chemical propulsion in the presence of coupling torque uncertainty and unknown disturbance
Summary
Small-scale spacecraft in low earth orbit (LEO) have been widely used in complex missions for fast access and global coverage. Inspired by the above studies, this work first proposed an SMC based on the RBF neural network technique, to deal with the attitude disturbance problem caused by orbit transfer of small satellites. This method achieves high precision control and rapid stabilization under the condition of limited control force and control torque in the field of small satellite control. The problem of the satellite attitude disturbance caused by orbit transfer is formulated, Problem Formulation This is followed by the control strategy, Controller Design, including the SMC, RBF neural network design, and stability proof.
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