Tuning of PID Controller for A Sun Seeker System Using Fuzzy Logic

Authors

  • Md. Shahidul Islam Associate Professor, Department of EEE, RUET, Rajshahi, BANGLADESH
  • Md. Ebrahim Khalil Department of EEE, RUET, Rajshahi, BANGLADESH
  • Md. Alif Al Shefaet Department of EEE, RUET, Rajshahi, BANGLADESH

Keywords:

Sun-Seeker
Fuzzy Logic control
PID-controller

Abstract

In this paper, we utilize the potential of using computational software based methodology in controllers for a sun seeker system. In sun seeker system, PID controller is used due to simple control structure, robustness, wide range of applicability, etc.  The controller can provide control action designed for specific process requirements, by tuning the three constants in the PID controller algorithm. But in the conventional tuning method, the PID controllers are not very efficient because of the presence of nonlinearity in the system of the plant and also it has a quite high overshoot and settling time. This paper presents a formal new methodology that is fuzzy control to design and tune PID controller for obtaining better dynamic and static performance at the output. This paper also discusses the benefits of the soft computing methods.

References

Ang et al, "PID control system analysis, design, and technology." IEEE Transactions on Control Systems Technology, 13, 4, 2005. DOI: https://doi.org/10.1109/TCST.2005.847331

Antoniou, Andreas, and Wu-Sheng Lu, “ Practical optimization: algorithms and engineering applications”, Springer Science & Business Media, 2007.

Åström et al, "Automatic tuning of simple regulators with specifications on phase and amplitude margins." Automatica, 20.5, 1984. DOI: https://doi.org/10.1016/0005-1098(84)90014-1

Åström, K. J., and T. Hägglund. "Revisiting the Ziegler–Nichols step response method for PID control." Journal of process control, 14, 6, 2004. DOI: https://doi.org/10.1016/j.jprocont.2004.01.002

Carvajal et al, "Fuzzy PID controller: Design, performance evaluation, and stability analysis." Information Sciences, 123, 3, 2000. DOI: https://doi.org/10.1016/S0020-0255(99)00127-9

Chien, Kun Li. "On the automatic control of generalized passive systems", Trans. Asme, 74, 1972.

Chopra et al, "Comparative Analysis of Tuning a PID Controller using Intelligent Methods", Acta Polytechnica Hungarica, 11, 8, 2014. DOI: https://doi.org/10.12700/APH.11.08.2014.08.13

Golnaraghi, Farid, and B. C. Kuo. "Automatic control systems", Complex Variables, 2, 2010.

Hang et al, "Refinements of the Ziegler–Nichols tuning formula." IEE Proceedings, 138. 2. 1991. DOI: https://doi.org/10.1049/ip-d.1991.0015

Kumar, Sudhakar, and Richa Negi. "A comparative study of PID tuning methods using anti-windup controller." Power, Control and Embedded Systems (ICPCES), 2012, 2nd International Conference on. IEEE, 2012. DOI: https://doi.org/10.1109/ICPCES.2012.6508138

Lee, Chuen Chien. "Fuzzy logic in control systems: fuzzy logic controller. II." IEEE Transactions on Systems, Man and Cybernetics, 20, 2, 1990. DOI: https://doi.org/10.1109/21.52552

Lin et al, "Research on Fuzzy Adaptive PID Control Algorithm Based on Siemens PLCSIM." 3rd International Conference on Electric and Electronics. Atlantis Press, 2013. DOI: https://doi.org/10.2991/eeic-13.2013.68

Mang. Z, and Atherton. D. P. "Automatic tuning of optimum PID controllers." Control Theory and Applications, IEE Proceedings, 140, 3, 1993 DOI: https://doi.org/10.1049/ip-d.1993.0030

Mann et al, "Analysis of direct action fuzzy PID controller structures." IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 29, 3, 1999. DOI: https://doi.org/10.1109/3477.764871

Rahmat, M. F. "Application of selftuning fuzzy PID controller on industrial hydraulic actuator using system identification approach." International Journal on Smart Sensing and Intelligent Systems, 2009.

Saeed Tavakoli and Mahdi Tavakoli. "Optimal tuning of PID controllers for first order plus time delay models using dimensional analysis." Control and Automation, 2003. ICCA'03. Proceedings. 4th International Conference on. IEEE, 2003. DOI: https://doi.org/10.1109/ICCA.2003.1595161

Skogestad, Sigurd. "Simple analytic rules for model reduction and PID controller tuning." Journal of process control, 13, 4, 2003. DOI: https://doi.org/10.1016/S0959-1524(02)00062-8

Wang et al, “Simulation for vehicle active suspension control based on different feedback parameters”, Journal of Theoretical & Applied Information Technology, 47, 3, 2013. DOI: https://doi.org/10.1051/ita/2012027

Woo et al, "A PID type fuzzy controller with self-tuning scaling factors." Fuzzy sets and Systems, 115, 2, 2000. DOI: https://doi.org/10.1016/S0165-0114(98)00159-6

Xu et al, "Parallel structure and tuning of a fuzzy PID controller." Automatica, 36, 5, 2000. DOI: https://doi.org/10.1016/S0005-1098(99)00192-2

Yen, John, and Reza Langari. Fuzzy logic: intelligence, control, and information. Prentice-Hall, Inc., 1998.

Yuwana, M, and Dale E. Seborg. "A new method for on‐line controller tuning." AIChE Journal, 28, 3, 1982. DOI: https://doi.org/10.1002/aic.690280311

Published

2016-03-22

How to Cite

Islam, M. S., Khalil, M. E., & Shefaet, M. A. A. (2016). Tuning of PID Controller for A Sun Seeker System Using Fuzzy Logic. Asian Journal of Applied Science and Engineering, 5(1), 15-26. https://doi.org/10.18034/ajase.v5i1.63

Issue

Section

Articles