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Symbolic computing aided design of nonlinear PID controllers

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Computer Aided Systems Theory — EUROCAST '95 (EUROCAST 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1030))

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Abstract

In this paper we introduce a symbolic computing tool, denoted by NLPID in the sequel, for the automatic design of linear and nonlinear PID controllers for nth order nonlinear control systems. The nonlinear design algorithm is based upon Rugh's Extended Linearization Technique, and it was implemented using Mathematica® as symbolic computing platform. At its present stage of development NLPID uses Ziegler-Nichols tables to synthesize linear PID controllers, and therefore its ability to deal with first and second order plants could be limited.

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References

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Authors and Affiliations

  1. Facultad de Ingenieria Escuela de Sistemas - Dept. de Sistemas de Control, Universidad de Los Andes, Apartado 11, 5251-A, La Hechicera, Mérida, Venezuela

    Jesús Rodríguez-Millán & Juan Cardillo

Authors
  1. Jesús Rodríguez-Millán
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  2. Juan Cardillo
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Franz Pichler Roberto Moreno Díaz Rudolf Albrecht

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© 1996 Springer-Verlag Berlin Heidelberg

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Rodríguez-Millán, J., Cardillo, J. (1996). Symbolic computing aided design of nonlinear PID controllers. In: Pichler, F., Díaz, R.M., Albrecht, R. (eds) Computer Aided Systems Theory — EUROCAST '95. EUROCAST 1995. Lecture Notes in Computer Science, vol 1030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034765

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  • DOI: https://doi.org/10.1007/BFb0034765

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60748-9

  • Online ISBN: 978-3-540-49358-7

  • eBook Packages: Springer Book Archive

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