International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.7, No.1, Dec. 2014
Design Algorithm and Performance Analysis of Conventional and Fuzzy Controller for Maintaining the Cane Level during Sugar Making Process
Full Text (PDF, 565KB), PP.80-93
The amount of cane fiber carried by cane carrier varies due to non-uniformity of cane supply. The continuous variation of cane in chute during the cane juice extraction inversely affects the cane juice extraction efficiency of mill. This paper deals with the development and performance comparison of conventional controller and fuzzy controller to maintain the cane level in chute during juice extraction. The conventional controller is developed using VHDL language and simulated by using Xilinx ISE 14.5 version. The fuzzy controller is developed and simulated by using fuzzy toolbox of ‘MATLAB® version 220.127.116.114 (R2020b).
Cite This Paper
Yogesh Misra, H R Kamath,"Design Algorithm and Performance Analysis of Conventional and Fuzzy Controller for Maintaining the Cane Level during Sugar Making Process", International Journal of Intelligent Systems and Applications(IJISA), vol.7, no.1, pp.80-93, 2015. DOI: 10.5815/ijisa.2015.01.08
D.P Kulkarni, Cane Sugar Manufacture, The sugar technologists association of India, New Delhi, 2002-03.
A Jha, “India’s sugar policy and world sugar economy” in proc. FAO International sugar conference, Fiji, August 2012.
Indian Sugar Mills Association (ISMA), 2010, “Important Events” (online) available at: http://www.indiansugar.com/EventDetails
S. Ahmed, Indian sugar industry, Centre for management studies, Jamia Millia Islamia, New Delhi, India, Unpublished.
Sugar Knowledge International Ltd., “How sugar is made”, (online) available at: http://www.sucrose.com/learn.html.
D.J Tayfield, P.W Rein and S.R Proome, “The application of a microprocessor based system for automatic pan boiling control”, Proc. The South African Sugar Technologists Association Conf; pp 56-62, June 1980.
C.R Murry, “The Pressure Required to Feed Cane Mills”. International Sugar Journal, 62, p. 346-349, 1960-61.
T. Ozkocak and G.C Goodwin, “A Nonlinear Modeling Approach to The Sugar Cane Crushing Process”. IEEE conference on Decision and Control, Florida, USAI.S.J., pp. 3144-3149, 1998.
T. Ozkocak, M. Fu and G.C Goodwin, “Maceration control of a sugar cane crushing mill”, Proc. American Control Conf; pp 2255-259, June 2000.
Misra, Y., Digital System Design using VHDL, Dhanpatrai & sons (P) Ltd., India, 2006.
Bhasker, J., A VHDL Primer, Revised Edition Prentice-Hall, 1992.
Brown, S., Vranesic, Z., Fundamentals of Digital Logic with VHDL Design, McGraw-Hill, 2000.
T Mitsuishi, N Endou and Y Sidhama, “The concept of fuzzy set and membership function and basic properties of fuzzy set operation” Journal of formalized mathematics, pp 1-6, Volume 12, 2003.
Mathworks, "Fuzzy Logic Toolbox User's Guide ", Mathworks, Inc., 2010.
R.M. Hilloowala and A.M. Sharaf, “A rule-based fuzzy logic controller for a PWM inverter in a standalone wind energy conversion scheme”, in Industry Applications, IEEE Transactions, pp. 57-65, January/February 1996.
L.Reznik, Fuzzy Controllers, Newnes-Butterworth-Heinemann, Oxford-Boston, 1997, ISBN 0-7506-3429-4
B Mahdad, T Bouktir and K Srairi, “Dynamic compensation of reactive energy usinf fuzzy controller” Leonardo Electronic Journal of practice and technologies, pp 1-16, Issue 7, July –December, 2005.