PID Controller Tuning for Stable and Unstable Processes Applying GA

Marco Antonio Paz-Ramos^1,2, Jose Torres-Jimenez³, Enrique Quintero-Marmol-Marquez², and Hugo Estrada-Esquivel²

¹Instituto Tecnologico y de Estudios Superiores de Monterrey, Campus Ciudad de Mexico Calle del Puente 222 Col. Ejidos de Huipulco, Tlalpan, 14380, Mexico, D.F.
marco.paz@itesm.mx

²Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Interior Internado Palmira S/N Cuernavaca, Morelos, Mexico
pazramos@cenidet.edu.mx
eqm@cenidet.edu.mx
hestrada@cenidet.edu.mx

³Instituto Tecnologico y de Estudios Superiores de Monterrey, Campus Cuernavaca, Computer Science Department., Av. Paseo de la Reforma 182-A. Lomas de Cuernavaca 62589 Temixco Morelos, Mexico
jtj@itesm.mx

Abstract. During the last years the use of intelligent strategies for tuning Proportional-Integral-Derivative (PID) controllers has been growing. The evolutionary strategies have won an important place thanks to their flexibility. In this paper, the automatic tuning of systems with stable and unstable dynamics, through a genetic approach is presented. The advantages of the proposed approach ere highlighted through the comparison with the Ziegler-Nichols modified closed loop method, and the Visioli genetic approach. The proposed methodology goal is to expand the intelligent tuning application to a wider range of processes (covering systems with oscillatory or unstable modes).

Keywords: PID Controllers, Genetic Algorithms, Ziegler-Nichols method, Visioli method.

LNCS 3103, p. 1 ff.

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