Distributed Adaptive NN-Based Attitude Synchronous Tracking Control with Input Saturation

The attitude synchronization tracking problem for spacecraft formation flying is investigated in this paper based on sliding-mode control and a Chebyshev neural network (ChNN). A distributed cooperative controller designed group of spacecrafts to guarantee that each individual will track the reference virtual leader presence external disturbances, system uncertainties input saturation. An adaptive ChNN introduced approximate nonlinear bounded disturbances online, switch function, which acts as switching signal between robust law, applied limit output approximator. Then, utilizing Nussbaum-type functions, an auxiliary counteract nonlinearities caused by Finally, numerical simulation example provided illustrate robustness effectiveness proposed scheme.