Multiple input multiple output fuzzy control for pulsed electrochemical micro machining

With the development of the industry in the field of modern manufacturing, the process of electrochemical micro-machining by pulses is distinguished, which allows the removal of material in parts with conductive properties by means of anodic dissolution. However, due to the number of variables involved and the physical characteristics, it presents a non-linear behavior, making it difficult to apply conventional control methods through the development of a mathematical model. In this sense, fuzzy logic with the Mamdani method is adopted as an alternative to solve the nonlinearity through the assessment of the current slope error and the electrode exposure area through linguistic labels, thus delimiting the inter electrode gap and the polarization voltage to ensure the controlled material removal. Finally, by contrasting with a fuzzy technique of one input and one output identified in the literature, a 21% reduction in the average lateral over-cutting effect is obtained, demonstrating the benefits of considering the voltage variable as a relevant factor for the decrease of excess material wear.