Neural-network cross-coupled control system with application on circular tracking of linear motor X-Y table

In this article a new neural-network based cross-coupled control algorithm that integrates the cross-coupled control and neural network techniques together is presented In this neural network based cross-coupled control system, fixed gain PID controller for each individual axis is replaced by a heuristic neural network learning controller. The conventional cross-coupled controller is substituted by an efficient neural network cross-coupled controller. Experimental results show that the proposed new neural network based cross-coupled control scheme can be successfully applied to the precise circular tracking problem of a nonlinear uncertain linear motor X-Y table. It is also demonstrated that performance of the neural network based cross-coupled control scheme is superior to the conventional cross-coupled control scheme.