Fuzzy based smart approach for modeling & control of biomass gasifier - Gandhi A., Sanjeevi; J., Indirapriyadharshini; T., Sivaranjani
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In this world of deteriorating amount of non-renewable resources, the relevance of a biomass gasifier is immense. Biomass is the biological material from living, or recently living organisms. As an energy source, biomass can either be used directly, or converted into other energy products such as biofuel. Biomass is carbon, hydrogen and oxygen based. It is used as a good source of power generation.A static model for the gasifier has been developed based on the experimental data of the plant successfully and this could be used to tune the fuzzy logic controller. The implementation results for…mehr

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Produktbeschreibung
In this world of deteriorating amount of non-renewable resources, the relevance of a biomass gasifier is immense. Biomass is the biological material from living, or recently living organisms. As an energy source, biomass can either be used directly, or converted into other energy products such as biofuel. Biomass is carbon, hydrogen and oxygen based. It is used as a good source of power generation.A static model for the gasifier has been developed based on the experimental data of the plant successfully and this could be used to tune the fuzzy logic controller. The implementation results for the gasifier system are found to be better than conventional control and pc based measurement. Fuzzy control is used to control the temperature with less overshoot and settling time. In this book, it has been observed that fuzzy control gives better performance for the control of biomass gasification.
Autorenporträt
A.Sanjeevi Gandhi , received the B.E. degree in Electronics and Instrumentation Engineering, M.Tech. degree in Control and Instrumentation and Ph.D. degree in Electrical Engineering.He has a wide Technical and teaching experience of 15 years. He has published more than 50 papers in International Conferences and International Journals.