Application of a recurrent neural fuzzy controller to practical mold temperature control of a rubber shoot shaping is studied in this paper. The controller used is a recurrent fuzzy network called Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy network (TRFN), which is characterized by its recurrent structure. Due to the powerful learning ability of TRFN, a simple controller design scheme using direct inverse configuration is proposed. With recurrent structure in TRFN, no a priori knowledge of the molding machine order is required. The design of TRFN consists of off-line and on-line training. Practical experiments and comparisons with other types of controllers demonstrate the performance of the proposed TRFN controller.
['Chia-Feng Juang', 'Shui-Tien Huang', 'Yuan-Chang Liou']
Temperature Control of a Rubber Shoot Shaping Machine by Recurrent Neural Fuzzy Controller