DocumentCode
3536277
Title
Temperature Control Using Intelligent Techniques
Author
Saini, Sanju ; Rani, Sarita
Author_Institution
Deenbandhu Chottu Ram Univ. of Sci. & Technol., Murthal, India
fYear
2012
fDate
7-8 Jan. 2012
Firstpage
138
Lastpage
145
Abstract
This paper presents the comparison of various intelligent techniques used for temperature control of water bath system. Different control schemes namely PID, PID using Genetic Algorithms(GA-PID), Fuzzy Logic Control, Neural Network, Adaptive Neuro-Fuzzy Inference System(ANFIS), and GA-ANFIS have been compared through experimental studies with respect to set-points regulation, ramp-points tracking, influence of unknown impulse noise and large parameter variation. The merits and limitations of each scheme has been brought out. It has been found that the use of advanced techniques such as Artificial Neural Networks (ANN) and GA with the conventional FLC offers encouraging advantages. The superiority of FLC over PID, ANFIS over FLC and GA-ANFIS over other schemes has been highlighted.
Keywords
adaptive control; fuzzy control; genetic algorithms; home automation; inference mechanisms; neurocontrollers; temperature control; three-term control; ANN; GA-ANFIS; GA-PID; adaptive neuro fuzzy inference system; artificial neural networks; fuzzy logic control; genetic algorithms; intelligent techniques; large parameter variation; neural network; ramp-points tracking; set-points regulation; temperature control; unknown impulse noise; water bath system; Fuzzy logic; Genetic algorithms; Mathematical model; Pragmatics; Temperature control; Temperature measurement; PID controller; Water bath temperature control; intelligent techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
Conference_Location
Rohtak, Haryana
Print_ISBN
978-1-4673-0471-9
Type
conf
DOI
10.1109/ACCT.2012.110
Filename
6168348
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