The research on the GA-based neuro-predictive control strategy for electric discharge machining process

In this paper, in accordance with the time-varying and non-linear character in electric discharge machining (EDM) process, a simple single-input single-output system is presented to simulate the EDM process. Based on this, a new type of direct optimizing neuro-predictive control system based on improved genetic algorithms for EDM process is designed. Finally, experimental results show that this system has good self-adaptability and high reliability, which results in the higher productivity.