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Self-tuning Fuzzy Logic Control of Greenhouse Temperature using Real-coded Genetic Algorithm

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4 Author(s)
Fang Xu ; Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou ; Jiaoliao Chen ; Libin Zhang ; Hongwu Zhan

The greenhouse temperature model is built based on the balance of the energy. A new real-coded genetic algorithm (GA) for self-tuning fuzzy logic control (FLC) of greenhouse temperature is proposed, in which, an arithmetical crossover operator, a ranking-based reproduction operator and a non-uniform mutation operator are adopted. The Gaussian input membership functions for the error and the change-in-error of the temperature of FLC is optimized by GA in terms of the root-mean-square error (RMSE) with setpoint and input energy. Compared with the basic fuzzy control, the tuned FLC gives better performance in terms of improving control precision and saving energy

Published in:

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Date of Conference:

5-8 Dec. 2006

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