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Composite Control for Gimbal Systems With Multiple Disturbances: Analysis, Design, and Experiment

Yangyang Cui, Yongjian Yang, Lei Zhao, Yukai Zhu, Jianzhong Qiao, Lei Guo

2023IEEE Transactions on Systems Man and Cybernetics Systems16 citationsDOI

Abstract

The proportional-integral (PI) controller has proven to be a remarkably effective control strategy in the servo field. However, it is difficult for PI to handle the problem of multiple disturbances degrading the velocity-tracking capability of the gimbal system in the control moment gyro (CMG). In this article, we propose a solution to this problem while preserving the advantages of PI from an engineering standpoint. Starting from the refined disturbance analysis based on a 5 Nms CMG gimbal system experimental tests, multiple disturbances of the gimbal system can be classified according to frequency distribution in terms of 0 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim $ </tex-math></inline-formula> 5 and 128 Hz. Subsequently, under the composite hierarchical anti-disturbance control frame, a peak filter and a disturbance observer addition improve the anti-disturbance capability of the PI-based gimbal system at the frequencies of 0 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim $ </tex-math></inline-formula> 5 and 128 Hz. Notably, the proposed method has a relatively low order, which is appropriate for the processing power limit. Finally, the experimental results reveal that compared to three effective control schemes (PI, extended state observer-based composite controller, and PI-resonant controller), the proposed method can strikingly enhance the anti-disturbance ability and velocity-tracking performance of the gimbal system.

Topics & Concepts

GimbalControl theory (sociology)PID controllerController (irrigation)MathematicsComputer scienceControl engineeringEngineeringControl (management)Artificial intelligenceBiologyTemperature controlAerospace engineeringAgronomyControl Systems in EngineeringGeophysics and Sensor TechnologyTeleoperation and Haptic Systems
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