Fuzzy-Chip-Based Control and Its Application to Adaptive Machining

Abstract

The use of fuzzy chip to implement the control of machining processes is investigated. The hardware solution can process rules in fuzzy controllers at high speed. In this paper, fuzzy-chip-based regular and self-tuning controllers are developed to maintain a constant cutting force during machining processes under time-varying cutting conditions. In the fuzzy-chip-based self-tuning controller, two knowledge bases are employed. One base is used to implement the inference of control rules and the other to execute tuning rules for adjusting the output scaling factor on line. The structure makes the proposed fuzzy-chip-based self-tuning controller different from those fuzzy adaptive controllers developed in machining. Those fuzzy-chip-based controllers are characterized by the simple structure and practical applicability for real-time implementation. Both simulation and experimental results on machining processes show that the fuzzy-chip-based controllers demonstrate feasibility, applicability, and adaptability.