A proposal of virtual experiment system by inverse and forward control model utilizing fuzzy neural network

The need for automation of higher proficiency adjustment is increasing. Though automation of assembly process has been developed positively, automation of sensory testing or adjustment is still lag behind. Proficient skilled workers consider many phenomena and control nonlinear plants that have mutual interference. In these automations, multi-input and nonlinear modeling method is important. However, it takes enormous time to make the adjustment algorithm and timely development of the automation equipment has been missed. The purpose of this paper is to reduce the time for the development of the adjustment algorithm. We develop a system which integrates the proposed construction method of fuzzy neural networks. In this paper, we propose a virtual experiment system, and prove the efficiency of the new system by the application of VTR tape drive adjustment.