New fuzzy approximate model for indirect adaptive control of distributed solar collectors
Type
Conference PaperKAUST Department
Applied Mathematics and Computational Science ProgramComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2014-06Permanent link to this record
http://hdl.handle.net/10754/564937
Metadata
Show full item recordAbstract
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.2014.6867464Conference/Event name
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014ISBN
9781479933471ae974a485f413a2113503eed53cd6c53
10.1109/eais.2014.6867464