Abstract
The paper deals with the control of the satellite attitude by means of double-gimbal magnetically suspended control moment gyros (DGMSCMGs). In its first part, the paper presents the dynamics of the DGMSCMGs and the dynamics of the satellite equipped with a DGMSCMG actuator that creates a total satellite applied gyroscopic torque which is generated by the angular rate of the satellite and the angular rates applied to the gyroscopic gimbals. Then, an adaptive satellite attitude control system is designed with actuator and angular rate sensor (both DGMSCMG type), based on the use of the dynamic inversion control technique and a neural network; the latter models an adaptive component of the control law to compensate the negative influence of the dynamic inversion error. The attitude controller mainly consists of a dynamic compensator, a neural network, and a linear observer (for the estimation of the neural network training vector). The novel attitude control architecture is validated in Matlab/Simulink; the analysis of both theoretical concepts and obtained results prove the cancel of the convergence errors, an excellent angular rate precision, as well as robustness to external disturbances.
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