Identification and self-tuning regulation of a solar system

This paper deals with the parameter estimation and the self-tuning regulation of a solar system, which is composed of a solar cell followed by a boost converter. The considered system is described by an input-output stochastic mathematical model at discrete-time, with unknown but constant or slowly time-varying parameters. This parameter estimation is conducted based on the method of prediction error and least squares techniques. The posed regulation problem consists in the development of a self-tuning regulator on the basis of the generalized minimum-variance approach. Thus, a generalized minimum-variance self-tuning regulator is developed. A numerical simulation of the self-tuning regulation of the considered stochastic system is treated.