Intelligent Control of Cylindrical Plunge Grinding

Abstract

An optimization strategy is presented for intelligent control of cylindrical plunge grinding. The optimization strategy is designed to minimize cycle time while satisfying production constraints. Monotonicity analysis together with local linearization is used to simplify the non-linear optimization problem and determine the process variables for the optimal cycle. At the end of each cycle, the uncertain parameters of the process are estimated so as to provide a more accurate estimation of the optimal process variables for the subsequent cycle. The intelligent control strategy is validated both in simulation and actual grinding tests.