Application of neural network in the velocity loop of a gyro-stabilized platform

Based on the self-learning property of neural network, a controller of neural network is attentively put forward for the velocity loop of a stabilized platform in this paper. The experimental results are given in both the controller of neural network and the traditional controller designed with traditional frequency domain methodology. Our experiment contrast results show that such neural network control structure is very effective for improving the low velocity property of stabilized platform and it is valuable for practical engineering.