An intelligent and modular adaptive control scheme for automating the milling process

This research work describes an intelligent and modular architecture for controlling the milling process. For this purpose, it is taking into account the admissible input cutting parameters given by the stability lobes and restrictions of the system, calculating the quasi-optimal cutting parameters. The quasi-optimal cutting parameters are obtained considering a cost function with multi-objective purpose. Furthermore, parallel multi-estimation adaptive control architecture is proposed in order to allow adaptation of the system when the cutting parameters are changed, for example, due to production requirements. It incorporates an intelligent supervisory system to address the problem of choosing the most adequate control signal at each required time. The fundamental idea of the control system is to work automatically, with a simple interface with the operator, based around the admissible cutting parameter space given by the well-known stability lobes.