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Intelligence Control of Downdraft Biomass Gasifier using Fuzzy Logic Controller


Author(s):

Devinder Sheokand , U.I.E.T., KUK; Ram Avtar Jaswal, UIET, KUK

Keywords:

Downdraft Biomass Gasifier, fuzzy, controller, MATLAB, simulation

Abstract:

Renewable energy is defined as energy that is collected from resources which are naturally replenished on a human timescale, such as sunlight, wind, rain, tides, waves, and geothermal heat. one of the most important renewable energy resources is biomass which is directly or indirectly derived from sunlight and waste of human being. It is derived from by-product of household waste, agricultural waste and wood. Biofuels are produced from these by-products directly or indirectly by different methods. Biomass energy production also helpful to reduce greenhouse effect. Therefore, much important is to improve the quality of gas produced by biomass for engines. To improve this, a fuzzy controller is used for gas production and wood is used as input for downdraft biomass gasifier. A fuzzy controller is static non-linear mapping between inputs and outputs by providing a formal methodology for representing and implementing a human heuristic knowledge of controlling a system. Here, a fuzzy system is modelled with three inputs and two output based on the experimental data. The three input variables are moisture content, air flow and grate and the output variables are CO/CO2 ratio and temperature. Inputs are given to the fuzzy model in the operating region of the gasifier, it gives the corresponding outputs, based on the membership functions and the rules written [5]. Finally, a better controlling action takes place by fuzzy controller than a conventional controller.


Other Details:

Manuscript Id :IJSTEV3I2033
Published in :Volume : 3, Issue : 2
Publication Date: 01/09/2016
Page(s): 61-66
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