Development of an intelligent V-bending process control system with database and fuzzy inference model

摘要

An intelligent control system based on a new database concept and a fuzzy inference model is proposed and developed for an accurate V-bending process. The database contains information on the punch force-stroke curve (F-S curve), which includesall key parameters such as material properties, machinery conditions and ambient factors, and is retrieved during the V-bending process. The retrieved F-S curves are compared with the in-process measured curve, and discrepancies are evaluated using afuzzy inference model to predict the control value for adaptive control. Furthermore, the intelligent control system is capable of learning from results obtained from experiments in order to cope with new materials. The intelligent V-bending operation iscarried out on a distributed information processing system, which has a multiprocessor with different platforms on network so that the database retrieval and fuzzy inference run parallel to the process sensing and control. Experimental results show thatthe intelligent control system significantly improves the accuracy and reliability of the V-bending process. The concept of developed intelligent control system may be useful in a wide range of metal forming applications.