Design of Adaptive Growing-And-Pruning Neural Control for LPCM Drive System.

In this paper, an adaptive growing-and-pruning neural network control (AGPNNC) system is developed for a linear piezoelectric ceramic motor. The AGPNNC system is comprised of a neural controller and a robust controller. The neural controller utilizes a self-constructing neural network (SCNN) to mimic an ideal computation controller, and the robust controller is designed to achieve L₂ tracking performance with desired attenuation level. If the hidden neuron of the SCNN is insignificant, it should be removed to reduce the computation load; otherwise, if the hidden neuron of the SCNN is significant, it should be retained. Finally, the experimental results show that a perfect tracking response can be achieved. [ABSTRACT FROM AUTHOR]