An adaptive decoupling control for three-axis gyro stabilized platform based on neural networks

In order to improve the tracking and stabilization performance of three-axis gyro stabilized platform, an adaptive decoupling control based on neural networks is developed. The dynamic model of three-axis GSP is developed based on traditional Newton–Euler method. The nonlinearity and coupling system is full-state-linearized using feedback linearization, and neural networks are used to compensate for the disturbances and uncertainties. The stability of the proposed scheme is analyzed by the