Title :
Temperature control by hardware implemented recurrent fuzzy controller
Author :
Juang, Chia-Feng ; Chen, Jung-Shing ; Huang, Hao-Jung
Author_Institution :
Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
Abstract :
Hardware implementation of a TSK-type recurrent fuzzy network (TRFN-H) for water bath temperature control is proposed in this paper. The TRFN-H is constructed from recurrent fuzzy if-then rules and are built on-line through concurrent structure and parameter learning. To design TRFN-H for temperature control, the direct inverse control configuration is adopted, and owing to the structure of TRFN-H, no a priori knowledge of the plant order is required, which eases the design process. After the network is designed, it is realized on a FPGA chip. Good performance of TRFN-H chip is verified from comparisons with PC-based PID and fuzzy controller for different sets of experiments on water-bath temperature control.
Keywords :
field programmable gate arrays; fuzzy control; fuzzy logic; fuzzy neural nets; learning (artificial intelligence); neurocontrollers; recurrent neural nets; temperature control; three-term control; FPGA chip; PC based PID controller; TSK type recurrent fuzzy network; concurrent structure; direct inverse control configuration; hardware implemented recurrent fuzzy controller; network design; parameter learning; recurrent fuzzy if-then rules; water bath temperature control; Field programmable gate arrays; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Hardware; Input variables; Process design; Temperature control; Three-term control;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375502