Abstract

AbstractIn the operation of some satellite systems, single gimbal control moment gyroscope (SGCMG) is always applied in the attitude control tasks. The control of SGCMG is mostly driven by using permanent magnet synchronous motor (PMSM). Due to the influence of multi source disturbances, it is a difficult task to establish a high-precision gimbal servo system model. In this paper, a model free auxiliary control strategy based on heuristic dynamic programming (HDP) method is proposed. The training process of model free auxiliary controller can be implemented by collecting the operation data sets and training the neural networks online. Finally, a comparative simulation experiment is carried out to illustrate the advantages of proposed strategy.KeywordsControl moment gyroscopeServo controlMulti source disturbancesAdaptive dynamic programmingModel freeNeural networks

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