Simulation of Optimum Control for Electro-discharge Dressing Using Neural Networks

Abstract

A neural identifier and a neural controller for optimum control of the electro-discharge dressing systems are proposed. A modeling of a system is obtained from a neural identifier and a neural control structure satisfying stability is proposed. Computer simulation results show that the proposed neural identifier not only gives accurate modeling results but also can find the relationship of the electro-discharge dressing system. In addition, the proposed neural controller gives very effective control according to gap increase by the learning process in spite of the nonlinear characteristics of electro-discharge conditions.