Resumen

RODRIGUEZ BORROTO, MIGUEL ANGEL; ABREU GARCIA, JOSE RAFAEL; JIMENEZ GARCIA, SERGIO  y  MARTINEZ JIMENEZ, BORIS LUIS. PREDICTIVE CONTROL BASED FUZZY PREDICTOR. Dyna rev.fac.nac.minas [online]. 2007, vol.74, n.153, pp.343-350. ISSN 0012-7353.

In this paper an algorithm has been carried out with the aim to apply the technique of lineal model based predictive control (MPC) to non-linear process using a fuzzy predictor based on dynamical Takagi_Sugeno_Kang structure. The local step linearization principle is used. This principle inherently let us to develop an adaptation process of the system dynamical matrix in each sampled period. This approach is new in classical MPC. The algorithm was applied to some study cases such as a direct current servo system with dead zone and a continuous steered tank reactor with exothermic reaction and the main results has been presented. Such results are satisfactory in both cases.

Palabras clave : Predicive Control; Fuzzy Control; Fuzzy Identification; Prediction; Simulation; Non-Linear Control.

        · resumen en Español     · texto en Español     · Español ( pdf )