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  2. Volume 9, Issue 3
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ISSN: 1999-8716

Volume9, Issue3

MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES

    Abbas H. Issa Intisar N. Al-Obaidi

DIYALA JOURNAL OF ENGINEERING SCIENCES, 2016, Volume 9, Issue 3, Pages 71-80

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Abstract

Different types of controllers are designed in this research to control the temperature of medical oven. These controllers represented by the conventional PID, the intelligent Neural Network (NN), Fuzzy-Logic controller (FLC) and the hybrid Adaptive-Neuro-Fuzzy-Inference-System (ANFIS) controller. The controllers designed using MATLAB R2012a version 7.14 both m-file and Simulink. Two laboratory ovens (lab ovens) with different mathematical models are used. A comparison between the designed controllers has been made, first with step response with the first oven and second with different set points of four medical applications for the second practical lab oven, the ANFIS superiority over the others has been proven which highlighted the hybridization power and efficiency and its suitability for controlling the temperature of medical oven.
Keywords:
    modeling medical oven PID FLC ANFIS
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(2016). MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES. DIYALA JOURNAL OF ENGINEERING SCIENCES, 9(3), 71-80.
Abbas H. Issa; Intisar N. Al-Obaidi. "MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES". DIYALA JOURNAL OF ENGINEERING SCIENCES, 9, 3, 2016, 71-80.
(2016). 'MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES', DIYALA JOURNAL OF ENGINEERING SCIENCES, 9(3), pp. 71-80.
MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES. DIYALA JOURNAL OF ENGINEERING SCIENCES, 2016; 9(3): 71-80.
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Journal Information

Publisher: Diyala University

Email:  engineering_college@diyengineering.net

Editor-in-chief: Dr. Amer Mohammed Ibrahim

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