Abstract
In the paper we derive a dynamic model of the magnetic levitation system and propose a Fuzzy-Tuning PID (FTP) controller that selects the parameters of the PID controller by using fuzzy inference system. Conventional PID controller can be applied to control the electromagnet levitation. However, it is uncertain in case of load and airgap change. To solve the problem, we designed fuzzy rules of FTP considering the control response of system. We estimate the optimal parameters of PID controller through four performance indices and show the performance of PID control system in case of load and airgap response change. The performance of PID controller is compared with the proposed FTP controller. The performance of proposed system was not only faster rising time, settle time and reduced overshoot but also greater flexibility than conventional PID controller.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alvarez-Sánchez, E., Alvarez-Gallegos, J., Castro-Linares, R.: Modeling and Controller Design of a Magnetic Levitation System. In: International Conference on Electrical and Electronics Engineering and XI Conference on Electrical Engineering, Mexico (2005)
HoonLee, J., Kim, Y.T.: Design of PID Controller for Magnetic Levitation RGV Using Genetic Algorithm Based on Clonal selection. The Journal of Korean Institute of Intelligent Systems 22, 239–245 (2012)
Groning, I., Zickermann, R., Henneberger, G.: Design of A State Control for A Solid-Coupled Magnetic Levitation Transport System. In: Proceedings of IEEE International Conference on Control Applications, vol. 1, pp. 658–661 (1999)
Xu, J., Zhou, Y.: ANonlinear Control Method for The Electromagnetic Suspension System of The Maglev Train. Journal of Modern Transportation 19(3), 176–180 (2011)
Concept of Electromagnet in Maglev Application Engineering Essay, http://www.ukessay--s.com/essays/engineering
Zulfatman, Rahmat, M.F.: Applicationof Self-Tuning Fuzzy PID Controlleron Industrial Hydraulic Actuator Using System Identification Approach. International Journal on Smart Sensing and Intelligent Systems 2(2) (2009)
Malessham, G., Rajani, A.: AutomaticTunning of Controller Using Fuzzy Logic. In: International Conference on Development and Application Systems, pp. 120–127 (2006)
Natsheh, E., Buragga, K.A.: Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors. IJCSI International Journal of Computer Science Issues 7(5) (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Luat, T.H., Cho, JH., Kim, YT. (2014). Fuzzy-Tuning PID Controller for Nonlinear Electromagnetic Levitation System. In: Kim, S., Jung, JW., Kubota, N. (eds) Soft Computing in Intelligent Control. Advances in Intelligent Systems and Computing, vol 272. Springer, Cham. https://doi.org/10.1007/978-3-319-05570-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-05570-1_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05569-5
Online ISBN: 978-3-319-05570-1
eBook Packages: EngineeringEngineering (R0)