Title :
A design neurofuzzy controller for level process control
Author :
Tipsuwanporn, V. ; Koetsam-ang, N. ; Kongratana, V. ; Numomran, A. ; Suesut, T.
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
This paper presents the design and implementation of a self-organizing neurofuzzy controller for tuning the fuzzy logic parameter using back-propagation neural network. The controller is implemented by software on a microcomputer to control the unknown transfer function system of a real plant for testing the learning efficiency of self-organization and proper parameter tuning where the scaling factor (g0, g1) is set from an experiment corresponding with process characterization and the designer experience. The results show that the performance of this controller is improved in terms of the set point compared with the PID standard controller
Keywords :
backpropagation; computerised control; controllers; fuzzy logic; fuzzy neural nets; level control; microcomputer applications; process control; self-adjusting systems; PID standard controller; backpropagation neural network; fuzzy logic parameter tuning; learning efficiency; level process control; microcomputer control; neurofuzzy controller design; parameter tuning; performance; process characterization; scaling factor; self-organizing neurofuzzy controller; software implementation; transfer function; Automatic testing; Control systems; Fuzzy logic; Microcomputers; Neural networks; Process control; Software testing; System testing; Three-term control; Transfer functions;
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-6715-4
DOI :
10.1109/CCECE.2001.933573
