Temperature Control of Batch Reaction Based on Genetic Fuzzy Neural Network

Abstract:

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The batch reactor has strong nonlinearity and hysteresis, the conventional control method is hard to meet the control requirements. According to the batch processes temperature control, this thesis proposed an intelligent control scheme. Combined neural networks with fuzzy logic control, searching and optimized parameters of fuzzy neural network by using Genetic Algorithm (GA), displayed the design method and optimization steps, and the simulation results verify the control scheme which proposed is feasible and effective.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1968-1971

DOI:

10.4028/www.scientific.net/AMR.204-210.1968

Citation:

C. T. Man et al., "Temperature Control of Batch Reaction Based on Genetic Fuzzy Neural Network", Advanced Materials Research, Vols. 204-210, pp. 1968-1971, 2011

Online since:

February 2011

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Price:

$35.00

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