Development of an Optimum Voltage Step Control Strategy for a Robotic Manufacturing Process

Abstract

This paper addresses the development of optimum current step settings used at a local manufacturing plant. The step function and the effects on other operation process parameters are obtained through reverse and correlation analysis of Target Parameter C (for confidential concerns, all related information are replaced by close item as required), Parameter B and real one. The Secondary Current for any operation sequence is then obtained based on this control methodology. The correlation between operation order and tip wear value are also determined by modeling the real data. A simulation model for optimum step control for a robotic manufacturing system has been developed. Based on some assumptions, simulations are carried out to control two important indicators within their proper limits. One is the Parameter E consisting of real secondary current and Parameter D, which should be constant or vary only slightly through the whole process. The other is current density. Each step can be adjusted and optimized and the indicator trend curves showing operation sequences per step and expected total operation sequences will be displayed. Results show that the step setting can be optimized to control the operation or step current to get good quality. At the beginning of each cycle, Real Secondary Current can be set very close to the Target one(which is much lower than the existing setting level), so power is minimized and the tip useful life is extend.