Nonlinear generalized predictive control approach for challenging processes

Ma'moun Abu-Ayyad, Lakshamirinyan Chinta Venkateswararao, Rickey Dubay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the implementation of the fundamental concept of the infinite modeling methodology to the generalized predictive control (GPC) algorithm. This method was termed as infinite modeling generalized predictive control (IMGPC) which uses the nonlinear characteristics of the process such as the process gain and time constant to recalculate the dynamic matrix every sampling instant. Computer simulations were performed on nonlinear plants with different degrees of nonlinearity demonstrating that the infinite modeling approach is readily implemented providing improved control performance comparing to the original structure of GPC Practical work included real-time control application on a steel cylinder temperature control system. Simulation and experimental results demonstrate that the methodology of infinite modeling is applicable to other advanced control strategies making the methodology generic.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009
Pages335-341
Number of pages7
DOIs
StatePublished - Dec 1 2009
Event2009 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2009 - Oxnard, CA, United States
Duration: Sep 21 2009Sep 23 2009

Publication series

NameProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009
Volume1

Other

Other2009 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2009
CountryUnited States
CityOxnard, CA
Period9/21/099/23/09

All Science Journal Classification (ASJC) codes

  • Computational Mechanics
  • Mechanics of Materials

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