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Development of a Conceptual Model for a Knowledge-Based System for the Design of Closed-Loop PID Controllers

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Intelligent Data Engineering and Automated Learning - IDEAL 2009 (IDEAL 2009)

Abstract

This paper describes the methodology used in the development of a ruled-based conceptual model for a knowledge based system aimed at the designing of closed-loop or feedback PID (proportional, integral, derivative) controllers. The paper shows the organization of the existing rules and an explanation about a new way of obtaining specific rules for discriminating between different methods of optimizing the parameters of the controller, by using an automatic classification of a huge set of data obtained as the result of applying these methods to an extended collection of representative systems.

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References

  1. Astrom, K.J., Hagglund, T.: PID controllers: Theory, Design and Tuning. ISA, Research Triangle Park. North Carolina (1995)

    Google Scholar 

  2. Feng, Y.L., Tan, K.C.: PIDeasyTM and automated generation of optimal PID controllers. In: Third Asia-Pacific Conference on Measurement and Control, China, pp. 29–33 (1998)

    Google Scholar 

  3. Pang, G.K.H.: An Expert Adaptive Control Scheme in an Intelligent Process Control System. In: Proceedings of the IEEE International Symposium on Intelligent Control, Arlington Virginia (1991)

    Google Scholar 

  4. Wilson, D.I.: Towards intelligence in embedded PID controllers. In: Proceedings of the 8th IASTED Intelligent Systems & Control, Cambridge (2005)

    Google Scholar 

  5. Zhou, L., Li, X., Hu, T., Li, H.: Development of high-precision power supply based on expert self-tuning control. In: ICMIT 2005: Control Systems and Robotics, Wuhan, China, pp. 60421T.1–60421T.6 (2005)

    Google Scholar 

  6. Epshtein, V.L.: Hypertext knowledge base for the control theory. Automation and Remote Control 61, 1928–1933 (2001)

    MATH  Google Scholar 

  7. Pang, G.K.H., Bacakoglu, H., Ho, M.F., Hwu, Y., Robertson, B.J., Shahrrava, B.: Knowledge-based system for control system design using MEDAL. In: Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided, pp. 187–196. IEEE Press, Arizona (1994)

    Google Scholar 

  8. Pang, G.K.H.: Implementation of a knowledge-based controller for hybrid systems. In: Proceedings of the 32nd IEEE Conference on Decision and Control, pp. 2315–2316. IEEE Press, Texas (1993)

    Chapter  Google Scholar 

  9. Parr, O.: Data Mining Cookbook. In: Modeling Data for Marketing, Risk, and Customer Relationship Management. John Wiley & Sons, Inc., New York (2001)

    Google Scholar 

  10. Quinlan, J.R.: Induction of decision trees. Machine Learning 1, 81–106 (1986)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Calvo-Rolle, J.L., Alaiz-Moretón, H., Alfonso-Cendón, J., Alonso-Álvarez, Á., Ferreiro-García, R. (2009). Development of a Conceptual Model for a Knowledge-Based System for the Design of Closed-Loop PID Controllers. In: Corchado, E., Yin, H. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2009. IDEAL 2009. Lecture Notes in Computer Science, vol 5788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04394-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-04394-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04393-2

  • Online ISBN: 978-3-642-04394-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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