Fuzzy Logic and Control Strategies on a Sump
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Fuzzy Logic and Control Strategies on a Sump

Authors: Nasser Mohamed Ramli, Nurul Izzati Zulkifli

Abstract:

Sump can be defined as a reservoir which contains slurry; a mixture of solid and liquid or water, in it. Sump system is an unsteady process owing to the level response. Sump level shall be monitored carefully by using a good controller to avoid overflow. The current conventional controllers would not be able to solve problems with large time delay and nonlinearities, Fuzzy Logic controller is tested to prove its ability in solving the listed problems of slurry sump. Therefore, in order to justify the effectiveness and reliability of these controllers, simulation of the sump system was created by using MATLAB and the results were compared. According to the result obtained, instead of Proportional-Integral (PI) and Proportional-Integral and Derivative (PID), Fuzzy Logic controller showed the best result by offering quick response of 0.32 s for step input and 5 s for pulse generator, by producing small Integral Absolute Error (IAE) values that are 0.66 and 0.36 respectively.

Keywords: Fuzzy, sump, level, controller.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1315804

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 781

References:


[1] Astrom K.J. and B. Wittenmark Computer Control Systems, Englewood Cliffs: Prentice Hall, 1984
[2] P. Albertos, Fuzzy Logic Controllers. Advantages and Drawbacks. Automation Control 1998, 4, 833–844.
[3] M. Bauer and I. K. Craig, I. K. Economic assessment of advanced process control - A survey and frame-work. J. Process Control, 2008 18(1):2–18
[4] D. J. Cooper, Practical Process Control. 2005 CT, Tolland: Control Station.
[5] Discover of Sump Performance Issues. (2013, May 9). Retrieved June 2, 2016, from http://www.nrc.gov/reactors/operating/ops-experience/pwr-sump-performance/discover-concern.html
[6] J.C. Douglas, Understanding Process Dynamic for Controller Design. Tolland, 2005 CT: Control Station, Inc.
[7] G. F. Franklin, J. D. Powell and A. Emami-Naeini Feedback Control of Dynamic Systems, 1986 Reading: Addison-Wesley.
[8] M. M. Gupta and N. K. Sinha. Intelligent Control Systems- Theory and applications, 1996 New York: IEEE Press.
[9] G. P. Rao, Elements of Control Systems. Retrieved August 15, 2016, from http://www.eolss.com/eolss/47a.htm
[10] R. J, Mantz, Switch actuators in process control: Constraint problems and corrections. Systems Science & Control Engineering, 2015 3(1), 360–366. doi:10.1080/21642583.2015.1033566
[11] Mc-Graw, H. Control Systems. In The Electronics Engineers’ Handbook 2005 (5th ed.) (pp. 1–30)
[12] Thomas, E. Current Problems in Process Controls.1987
[13] http://ijesrt.com/issues%20pdf%20file/Archive-2016/September-2016/15.pdf