Model-Reference Robust Tuning Design Methodology

  • Víctor M. AlfaroEmail author
  • Ramon Vilanova
Part of the Advances in Industrial Control book series (AIC)


Over the years, the design of controllers with PID control algorithms has been faced with different approaches. As shown in [1], controller tuning rules may be classified using different criteria: based on the controlled process information used (model order and structure, critical information), on the control algorithm to tune (P, PD, PI, PID, one or two-degree-of freedom), and on the controller design criteria (performance, robustness, or a combination of both) using analytical or optimization procedures.


  1. 1.
    O’Dwyer, A.: Handbook of PI and PID Controller Tuning Rules, 3rd edn. Imperial College Press, London (2009)CrossRefzbMATHGoogle Scholar
  2. 2.
    Alfaro, V.M., Vilanova, R.: Performance/robustness trade-off design framework for 2DoF PI controllers. Stud. Inf. Control 21(1), 73–83 (2012)Google Scholar
  3. 3.
    Vilanova, R., Alfaro, V.M.: Control PID robusto: una visión panorámica. Revista Iberoamericana de Automática e Informatica Industrial 8, 141–158 (2011)CrossRefGoogle Scholar
  4. 4.
    Lagarias, J.C., Reeds, J.A., Wright, M.H., Wright, P.E.: Convergence properties of the Nelder-Mead simplex algorithm in low dimensions. SIAM J. Optim. 9, 112–147 (1998)MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    The MathWorks, Inc.: Optimization Toolbox User’s Guide (R2011a). The MathWorks, Inc., Natick, MA, USA (2011)Google Scholar
  6. 6.
    Mathews, J.H., Fink, K.D.: Numerical Methods Using MATLAB, 4th edn. Prentice-Hall, Inc., NJ (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Electrical EngineeringUniversidad de Costa RicaSan JoséCosta Rica
  2. 2.School of EngineeringUniversitat Autònoma de BarcelonaBarcelonaSpain

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