Contour Conrtol of Mechatronic Servo Systems Using Chaotic Neural Networks

카오스 신경망을 이용한 기계적 서보 시스템의 경로 제어

This paper investigates the direct and adaptive control of mechatronic servo systems using modified chaotic neural networks (CNNs). For the performance evaluation of the proposed neural networks, we simulate the trajectory control of the X-Y table with direct control strategies. The CNN based controller demonstrates accurate tracking of the planned path and also shows superior performance on convergence and final error comparing with recurrent neural network(RNN) controller.