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

Type
Conference Paper

Authors
Elmetennani, Shahrazed
Laleg-Kirati, Taous-Meriem

KAUST Department
Applied Mathematics and Computational Science Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program

Date
2014-06

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.

Citation
Elmetennani, S., & Laleg-Kirati, T. M. (2014). New fuzzy approximate model for indirect adaptive control of distributed solar collectors. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). doi:10.1109/eais.2014.6867464

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)

Conference/Event Name
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014

DOI
10.1109/eais.2014.6867464

Permanent link to this record
http://hdl.handle.net/10754/564937
Collections
Conference Papers
Applied Mathematics and Computational Science Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program