Controller Tuning Equations by sliding Modes and dynamic array Control from a Diffusion Module

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Edinzo Jesús Iglesias Sánchez
Jesús Manuel García García
Oscar Eduardo Camacho Quintero
Silvia Margarita Calderón
Andrés Rosales Acosta

Abstract

The purpose of this work is to develop tuning equations for multiple control schemes, using diffusion logic. They are developed from the target function; the new tuning equations are used in a nonlinear chemical process to compare the original equations with the information found. Therefore, this work presents the conclusions.

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How to Cite
Iglesias SánchezE. J., García GarcíaJ. M., Camacho QuinteroO. E., Margarita CalderónS., & Rosales AcostaA. (2015). Controller Tuning Equations by sliding Modes and dynamic array Control from a Diffusion Module. AXIOMA, 1(14), 14-24. Retrieved from http://pucesinews.pucesi.edu.ec/index.php/axioma/article/view/437
Section
INVESTIGACIÓN

References

Camacho O., and Smith C. (2000).Sliding Mode Control: An Approach to Regulate Nonlinear Chemical Processes. ISA Transactions, 39 (2), Pp. 205-218.
Cutler C. R. and Ramaker B. C. (1980). Dynamic Matrix Control-A Computer Control Algorithm. Proceeding of the 86th National Meeting of the American Institute of Chemical Engineering, Houston, TX. WP5-B.
De La Cruz F., y Camacho O. (2015). Controlador de Modos Deslizantes basado en Predictor de Smith y Modelo de Segundo Orden para Procesos con Elevado Retardo. Revista Politécnica. Vol. 35. Pp. 18-23.
García Y., Sanjuan M., y Smith C. (2005). Controlador de modelo interno con filtro difuso (IMCFD). Revista Ingeniería & Desarrollo, Vol. 1, Nº 17. Pp 68-86.
Iglesias, E. (2006). UsingFuzzyLogictoEnhance Control Performance of SlidingMode Control and DynamicMatrix Control, Ph. D Thesis. University of South Florida.
O’Dwyer, A. (2006). Handbook of PI and PID Controller Tuning Rules. Ireland: Imperial CollegePress.
Pérez, J. (2010). Desarrollo de ecuaciones de sintonización para diferentes estrategias de control a partir de un módulo difuso de evaluación de rendimiento de lazos de control. Tesis pregrado. Universidad de Los Andes.
Rawlings J. B. (2000). Tutorial Overview of ModelPredictive Control. IEEE Control System Magazine. Pp. 38-52.
Qina S. J. and Badgwell, T. (2003). “A survey of industrial model predictive control technology”. Control Engineering Practice 11. Pp. 733–764.
Smith, C.A. and Corripio, A.B. (2006). Principles and Practices of Automatic Process Control, 3rd Edition. USA: WILEY.
Utkin V. I. (1977). Variable Structure Systems with Sliding Modes. IEEE Transactions On Automatic Control, VOL. AC-22, NO. 2. Pp. 212-222.