New fuzzy approximate model for indirect adaptive control of distributed solar collectors

Shahrazed Elmetennani, Taous-Meriem Laleg-Kirati

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

1 Scopus citations

Abstract

This paper studies the problem of controlling a parabolic solar collectors, which consists of forcing the outlet oil temperature to track a set reference despite possible environmental disturbances. An approximate model is proposed to simplify the controller design. The presented controller is an indirect adaptive law designed on the fuzzy model with soft-sensing of the solar irradiance intensity. The proposed approximate model allows the achievement of a simple low dimensional set of nonlinear ordinary differential equations that reproduces the dynamical behavior of the system taking into account its infinite dimension. Stability of the closed loop system is ensured by resorting to Lyapunov Control functions for an indirect adaptive controller.
Original languageEnglish (US)
Title of host publication2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479933471
DOIs
StatePublished - Jun 2014

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