A Self-Tuning Based Fuzzy-PID Approach for Grinding Process Control

Abstract

A Fuzzy-PID controller is designed for tracing reference cutting forces in grinding by integrating a high performance fuzzy controller and an easy to use PID controller. When the error of the grinding force is large, in order to respond quickly, the fuzzy controller with a self-tuning factor is adopted and the Max-Proc strategy is also used. This will be good for fuzzy reasoning. If the error of the grinding force is small, the PID controller is adopted for the benefit of robustness. The combined controller presents many advantages over conventional adaptive and fuzzy controllers, such as real time feasibility, robustness, and stability. A series of simulation work have been achieved to examine the sudden and gradual changes in the cutting depth. Experiments have been carried out on an NC grinding machine to validate the proposed approach.

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