Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium
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Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium
CIESC JournalIssue 8, Pages: 2140-2145(2011)
作者机构:
1. 中南大学信息科学与工程学院,湖南,长沙,410083
2. 西安工程技术学院,陕西,西安,710065
作者简介:
基金信息:
DOI:
CLC:P273
Online First:05 August 2011,
Published:05 August 2011
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LV Yan, WU Min, LEI Qi, et al. Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium[J]. CIESC Journal, 2011, (8): 2140-2145.
DOI:
LV Yan, WU Min, LEI Qi, et al. Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium[J]. CIESC Journal, 2011, (8): 2140-2145.DOI:
Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium
A fuzzy optimization control strategy based on the property of distributed parameters is presented.Both the error of furnace temperature and its changing rates at different segments of the reheating furnace are used as the input of fuzzy logic
so that a group of 2-dimension fuzzy controller is designed with respect to every furnace temperature adjustment point.According to the features of two operative statuses
which are rising temperature segment and maintaining temperature segment
the fuzzy control rules are designed respectively.Based on the variable universe theory
an adaptive mutation differential evolution algorithm
in which the dynamic fitness function is constructed and the mutation probability is adaptively regulated according to the evolved generations
is applied to optimize the fuzzy controllers.The running results show that
the method proposed in this paper is good at controlling the temperature of titanium slab furnace.