Abstract
For high agility and high precision attitude maneuver of remote sensing satellites, the Control Moment Gyroscope (CMG) is expected to supply the torque more accurately, which means the disturbance torque on its gimbal axis should be minimized to reduce the pulsation of the gimbal speed. In this paper, the torque generated by the wheel imbalance is analyzed, and the gimbal system model is built. To improve the gimbal speed stability, in this paper, an Iterative Learning Control (ILC) module is inserted in the PID gimbal control system. The proposed control system is evaluated through system simulation, and the results demonstrated that the iterative learning algorithm minimized the pulsating torque effectively, which significantly improved the precision of the CMG output torque.
Published Version
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