AI Technique for Online Non-Linear Feedrate Scheduling

摘要

The optimal feedrate scheduling is an important issue so far that concern machine tool performance. Moreover, taking into account the unavoidable variation of detached material thickness the process performance can be increased through online high-resolution optimal feedrate scheduling. Such an approach implies the need for considerable software processing resources. In order to solve this problem, the holonic concept, which is part of distributed artificial intelligence field, is applied for feedrate scheduling. In this paper a specific holonic architecture and algorithm is proposed. The basic structural entity of the holonic architecture is the holon, which is an operating system process acting autonomous and cooperative. By intermediary of the holons actions, according to the holonic algorithm, suitable positioning of cutter edge is obtained. On the other hand, each holon represents an interpolated cutter location. The process sequence between two successive interpolated cutter locations is the resolution of nonlinear optimization. The optimization criterion and restrictions are applied independently to each process sequence. By intermediary of simulation the proposed holonic feedrate scheduling algorithm is tested. The results obtained in the case of turning processes confirmed its feasibility and efficiency.