Neurofuzzy Force-Based Control in an Ethernet-Based Application. A Case Study on a Drilling Process

One way to compensate for the influence of drilling depth on useful tool life while enhancing productivity is to introduce real-time control of the cutting force .This paper presents the design and implementation of a neurofuzzy system for modeling and control of a high-performance drilling process in an Ethernet- based application. The neurofuzzy system is an adaptive-network-based fuzzy inference system (ANFIS), where fuzzy rules are obtained from input/output data. The design of the control system is based on the internal model control paradigm. Simulation and experimental results demonstrate the suitability of the proposed approach. An overshoot free transient response and a good settling time are obtained, thereby reducing the risk of rapid drill wear and catastrophic drill breakage.