Paper
2 September 2003 A neuron model-free controller with fuzzy tuning gain for continuous steel casting processes
Ning Wang, Feng Xu, Zifen Xie
Author Affiliations +
Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.522137
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China
Abstract
The continuous steel casting is an important link in steel production. The performance of mold level control for the continuous steel casting affects the steel quality directly. The main difficulties for mold level control are that the continuous steel casting has big uncertainties and grave nonlinearities, and the continuous steel caster runs in its hot and hostile environment. In this paper, the neuron model-free control method with fuzzy tuning gain is proposed for continuous steel casting processes. In this control system, the neuron controller is used to control the mold level and the fuzzy algorithm to tune controller gain. According to the system operation conditions, the fuzzy rule base is updated to improve control performance. The experiments are made to demonstrate the effectiveness of the proposed controller.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Wang, Feng Xu, and Zifen Xie "A neuron model-free controller with fuzzy tuning gain for continuous steel casting processes", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.522137
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KEYWORDS
Neurons

Fuzzy logic

Control systems

Device simulation

Process control

Performance modeling

Process modeling

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