Open Access Open Access  Restricted Access Subscription or Fee Access

Fuzzy Logic Controller Optimization Based on PSO and BBO for Quadruple Tank System

(*) Corresponding author

Authors' affiliations



In this paper, an optimal fuzzy logic controller (FLC) for Quadruple Tank System (QTS) is proposed. Two bio-inspired optimization methods: Particle Swarm Optimization (PSO) and Biogeography Based optimization (BBO) are employed to adjust the parameters of the membership functions (MFs) in order to enhance the capability of traditional FLC. Simulation results confirm the effectiveness of the proposed control methods, and show the advantages of the optimized fuzzy logic controller.
Copyright © 2015 Praise Worthy Prize - All rights reserved.


Biogeography Based Optimization; Fuzzy Logic Controller; Particle Swarm Optimization; Quadruple Tank System

Full Text:



C. Chien Lee, Fuzzy Logic in Control Systems: Fuzzy Logic Control, Part I, IEEE Transactions on Systems, Man and Cybernetics, Vol. 20 (Issue 2): 404-418, March/April 1990.

D. Pelusi, Optimization of a Fuzzy Logic Controller Using Genetic Algorithms, International Conference on Intelligent Human-Machine Systems and Cybernetics, Vol. 2, pp. 143-146, Zhejiang, August 2011.

T. Mathew and C. A. Sam, Closed loop control of BLDC motor using a fuzzy logic controller and single current sensor, International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 1-6, Coimbatore, INDIA, December 2013.

C. Butt and M. A. Rahman, Limitations of Simplified Fuzzy Logic Controller for IPM Motor Drive, 39th IAS Annual Meeting In Industry Applications Conference, Vol.3, pp. 1891-1898, Seattle, USA, 2004.

F. Valdez, P. Melin and O. Castillo, A Survey on Nature-Inspired Optimization Algorithms with Fuzzy Logic for Dynamic Parameter Adaptation. Expert Systems with Applications, Vol. 41 (Issue 14): 6459-6466, October 2014.

M.M. Sayed, M.S. Saad, H.M. Emara and E.E. Abou El-Zahab, Improving the Performance of the Egyptian Second Testing Nuclear Research Reactor Using Interval Type-2 Fuzzy Logic Controller Tuned by Modified Biogeography-based Optimization, Nuclear Engineering and Design, Vol. 262 (Issue): 294-305, September, 2013.

Z. Bingul and O. Karahan, A Fuzzy Logic Controller Tuned with PSO for 2 DOF Robot Trajectory Control, Expert Systems with Applications, Vol. 38, (Issue 1): 1017-1031, January 2011.

M. Ranjani and P. Murugesan, Optimal Fuzzy Controller Parameters Using PSO for Speed Control of Quasi-Z Source DC/DC Converter Fed Drive. Applied Soft Computing, Vol.27 (Issue): 332-356, February 2015.

G. Fang, N. M. Kwok and D Wang, Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimization (Artificial Intelligence and Computational Intelligence, 2010, pp. 326-333).

R. Martinez-Soto, O. Castillo, Oscar, L. T. Aguilar, Luis T and P. Melin, Fuzzy Logic Controllers Optimization Using Genetic Algorithms and Particle Swarm Optimization (Advances in Soft Computing, 2010, pp. 475-486).

R. Martínez-Marroquín, O. Castillo and J. Soria, Parameter Tuning of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization, IEEE International Conference on Fuzzy Systems, pp. 2007-2012, Jeju Island, August 2009.

G. Thomas, P. Lozovyy and D. Simon, Fuzzy Robot Controller Tuning with Biogeography-Based Optimization, In 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, pp. 319-327, Syracuse, NY , USA, June/July 2011.

S. Singh, S, Tayal and G. Sachdeva, Evolutionary Performance of BBO and PSO Algorithms for Yagi-Uda Antenna Design Optimization, World Congress on Information and Communication Technologies, pp. 861-865, Trivandrum, October/November 2012.

E. Elbeltagi, T. Hegazy and D. Grierson, Comparison among five evolutionary-based optimization algorithms, Advanced engineering informatics, Vol. 19 (Issue 1): 43-53, January 2011.

Dan Simon, Biogeography-Based Optimization, IEEE Transactions on Evolutionary Computation, Vol. 12 (Issue 6): 702-713, December 2008.

D. P. Rini, S. M. Shamsuddin and S. S. Yuhaniz, Particle Swarm Optimization: Technique, System and Challenges, International Journal of Computer Applications, Vol. 14 (Issue 1):19-26, January 2011.

J. Kennedy and R. C. Eberhart, Particle Swarm Optimization, Proceedings of IEEE International Conference on Neural Networks, Vol.4, pp.1942-1948, Perth, WA, November/December 1995.

X. Li and M. Yin, Multiobjective Binary Biogeography Based Optimization for Feature Selection Using Gene Expression Data, IEEE Transactions on Nanobioscience, Vol. 12 (Issue 4): 343-353, December 2013.

L. Yang, W. Li and T. A. Gulliver, Improving Wireless Sensor Network Coverage Using the VF-BBO algorithm, IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp. 318-321, Victoria, BC, August 2013.

R. Suja Mani Malar and T. Thyagarajan, Design of Decentralized Fuzzy Pre compensated PI Controllers for Quadruple Tank System, International Journal of Recent Trends in Engineering, Vol. 2 (Issue 5): 188-192, November 2009.

R.Suja Mani Malar, Modeling of Quadruple Tank System Using Soft Computing Techniques, European Journal of Scientific Research, Vol. 29 (Issue 2): 249-264, April 2009.

K H Johanson, The Quadruple-tank process: A Multivariable Process with an Adjustable Zero, IEEE Trans. Contr. Syst. Tech., Vol. 8 (Issue 3): 456-465, May 2000.

H.E.A. Ibrahim and M. Ibrahim, Comparison Between Fuzzy and P&O Control for MPPT Photovoltaic System Using Boost Converter, Journal of Energy Technologies and Policy, Vol. 2 (Issue 6): 1-12, 2012.

M. Mussetta, P. Pirinoli and R. E. Zich, A Modified BBO for Design and Optimization of Electromagnetic Systems, Proceedings of the International Symposium on Antennas & Propagation, Vol. 2, pp. 935-938, Nanjing, October 2013.

S. Saremi and S. Mirjalili, Integrating Chaos to Biogeography-Based Optimization Algorithm, International Journal of Computer and Communication Engineering, Vol. 2 (Issue 6): 655-658, November 2013.

Ananth, G., Vinayagam, B.K., A study on the PSO model based fast track total productive maintenance for small and tiny enterprises, (2014) International Review of Mechanical Engineering (IREME), 8 (5), pp. 941-947.

Yatim, H.M., Mat Darus, I.Z., Intelligent parametric identification of flexible manipulator system, (2014) International Review of Mechanical Engineering (IREME), 8 (1), pp. 11-21.

Senthil Babu, S., Vinayagam, B.K., Mathematical model for drilled hole surface roughness of Al/Sic metal matrix composites, (2014) International Review of Mechanical Engineering (IREME), 8 (6), pp. 1128-1138.

Rajeswari, K., Lavanya, S., Lakshmi, P., Modified grey fuzzy logic controller for vehicle suspension system, (2014) International Review of Mechanical Engineering (IREME), 8 (1), pp. 153-161.

Mohamed Jafar, O.A., Sivakumar, R., Hybrid fuzzy based nature-inspired clustering algorithms with validity measures, (2014) International Review on Computers and Software (IRECOS), 9 (6), pp. 928-937.

Abadi, I., Musyafa, A., Soeprijanto, A., Type-2 Fuzzy Logic Controller Based PV Passive Two-Axis Solar Tracking System, (2015) International Review of Electrical Engineering (IREE), 10 (3), pp. 390-398.

Blorfan, A., Sturtzer, G., Flieller, D., Wira, P., Mercklé, J., An adaptive control algorithm for maximum power point tracking for photovoltaic energy conversion systems - A comparative study, (2014) International Review of Electrical Engineering (IREE), 9 (3), pp. 559-565.

Jebelli, A., Yagoub, M.C.E., Abdul Rahim, R.H.J., Kazemi, H., Design and construction of an underwater robot based fuzzy logic controller, (2013) International Review of Mechanical Engineering (IREME), 7 (1), pp. 147-153.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2023 Praise Worthy Prize