Abstract
This paper presents design and simulation investigation of a fuzzy controller and a conventional PID controller for a servo system. First, a servo system is considered and its stability is discussed. Then, a PID controller that is tuned by the Ziegler-Nichols method is formulated for controlling the servo system. To improve the servo system’s dynamic response parameters, a fuzzy controller is then proposed for controlling the system. A performance comparison between the fuzzy and the PID controllers are carried out. The results are presented and discussed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ang, K.H., Chong, G., Li, Y.: PID control system analysis, design and technology. IEEE Transaction on Control System Technology 13(4), 559–576 (2005)
Astrom, K., Hagglund, T.: PID controllers: Theory, design and tuning, 2nd edn. The Instrumentation, Systems and Automation Society, ISA (1995)
Glued, S., Wen, P.: PID controller evaluation with missing samples in a networked control system using spline interpolation method. In: Proceeding of the International Conference on Computer and Automation Engineering, pp. 186–190 (2009)
Xu, J., Feng, X.: Design of adaptive fuzzy PID tuner using optimization method. In: Proceedings of the 5th World Congress on Intelligent Control and Automation, China, pp. 2454–2458 (2004)
Feedback Instruments, “Analogue servo fundamentals trainer”, http://www.mm.anadolu.edu.tr/eem342/33_002.pdf
Ogata, H.: Modern Control Engineering, 3rd edn. Prentice Hall International Inc., Upper Saddle River (1997)
Jianweh, C., Zhanjun, H.: Simulation of fuzzy self-tuning PID control based on simulink. Applied Mechanical and Materials 52, 1644–1649 (2011)
Ganji, B., Kouzani, A.Z., Hessami, A.: Backward modelling and look-ahead fuzzy energy management controller for a parallel hybrid vehicle. Control and Intelligent Systems 39(3) (2011)
Ganji, B., Kouzani, A.Z.: Combined quasi-static backward modeling and look-ahead fuzzy control of vehicles. Expert Systems with Applications (in press, 2011)
Woo, Z.W., Chung, H.Y., Lin, J.J.: A PID type fuzzy controller with self-tuning scaling factors. Fuzzy Sets and Systems 115(2), 321–326 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yaghoubi, M., Ganji, B., Kouzani, A.Z. (2011). Design and Analysis of a Fuzzy Controller for a Servo System. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-25541-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
Online ISBN: 978-3-642-25541-0
eBook Packages: EngineeringEngineering (R0)