Contour control of mechatronic servo systems using chaotic neural networks

This paper investigates contour. control of mechatronic servo systems using chaotic neural networks (CNNs). For controlling the trajectories of a X-Y table, control system uses direct adaptive control strategy with modified chaotic neural networks. The proposed controller demonstrates accurate tracking of the planned contour path and also shows excellent performance on convergence and final error comparing with recurrent neural network (RNN) controller.