OPTIMIZATION OF MACHINING PARAMETERS FOR ADAPTIVE CONTROL OF MACHINING PROCESS

Abstract

Adaptive Control (AC) is an intelligent and flexible control type, which allows the system to

self-adapt and maintain the control performance against the un-certainties in system parameters and environment disturbances. The application of CNC with AC is the inevitable trend that helps improve production efficiency while definitely guarante product quality. However, the application of AC also encounters many obstacles including the strict requirements on processing time, computing, making decision including online optimization of machining process.In order to find the useful online optimization solution for AC, different methods have been examined. In this work, the author examines the optimization model for cutting parameters using PSO and obtains satisfactory results: The obtained results are similar, while the executing time is dramatically shortened in comparison with the best of recently used method, ie. GA, only 0.196, equalled 6.7% against 2.848.This article briefly introduces the algorithmic basis, describes the problem solving process and it’s results by using PSO in Matlab.