Decentralized Fuzzy Control Applied to a Greenhouse

 A. Errahmani*, M. Benyakhlef** and I. Boumhidi*

Abstract
This paper investigates the use of fuzzy method as a tool for model identification and control of a nonlinear and multivariable system (greenhouse) when measurement data is available. The simulation of the internal climate is achieved by a linear model whose coefficients are obtained using the fuzzy clustering method. The use of fuzzy logic decentralized controller for the regulation of climate variables represents powerful way to economise the energy and reduce the complexity of the controller. Simulation results show that the proposed strategy is applied successfully to control the internal climate of greenhouse system.

Keywords: Decentralized Systems, Fuzzy control, Greenhouse.

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