Vol.9 , No.3 , issue 6

Diyala Journal of Engineering Sciences DJES

Volume 9, No. 3, Pages: 71-80, September 2016

(Received: 3/8/2015; Accepted: 18/10/2015)

MEDICAL OVEN TEMPERATURE CONTROL BASED ON SOFT COMPUTING TECHNIQUES

Abbas H. Issa

Department of Electrical Engineering, University of Technology-Baghdad, Iraq

Intisar N. Al-Obaidi

Department of Electrical Engineering, University of Technology-Baghdad, Iraq

DOI:https://dx.doi.org/10.24237/djes.2016.09306

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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, NN, ANFIS

This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.