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Simple Implementation of GPC for Industrial Processes

  • E. F. Camacho
  • C. Bordons
Part of the Advanced Textbooks in Control and Signal Processing book series (C&SP)

Abstract

One of the reasons for the success of the traditional PID controllers in industry is that PID are very easy to implement and tune using heuristic tuning rules such as the Ziegler-Nichols rules frequently used in practice. A Generalized Predictive Controller, as shown in the previous chapter, results in a linear control law which is very easy to implement once the controller parameters are known. The derivation of the GPC parameters requires, however, some mathematical complexities such as recursively solving the Diophantine equation, forming the matrices G, G′ and f and then solving a set of linear equations. Although this is not a problem for people in the research control community where mathematical packages are normally available, it may be discouraging for practitioners used to much simpler ways of implementing and tuning controllers.

Keywords

Dead Time Model Predictive Control Controller Parameter Simple Implementation Static Gain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2007

Authors and Affiliations

  • E. F. Camacho
    • 1
  • C. Bordons
    • 1
  1. 1.Escuela Superior de IngenierosUniversidad de SevillaSevillaSpain

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