Title :
A new approach to optimization of a PI controller using neural networks
Author :
Taha, Zahari ; Omatu, Sigeru
Author_Institution :
Fac. of Eng., Tokushima Univ., Japan
Abstract :
This paper presents a new approach to using neural networks in process control. In this approach the network is used to obtain a mapping of a process inputs to its outputs. Control parameters of a conventional controller such as a PI controller is extracted from this mapping. Simulation examples of a water bath temperature system and miniature industrial furnace system are shown.
Keywords :
furnaces; neurocontrollers; optimisation; process control; temperature control; two-term control; PI controller; industrial furnace system; neural networks; optimization; process control; water bath temperature system; Adaptive control; Control systems; Equations; Information science; Modeling; Neural networks; Neurons; Process control; Systems engineering and theory; Temperature control;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.716925
