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Adaptive Neuro Fuzzy Control Design of a Solar Power Plant’s Complete Oil Cycle

[+] Author Affiliations
P. Shahmaleki, M. Amiri, M. Mahzoon

Shiraz University, Shiraz, Iran

Paper No. ES2009-90150, pp. 625-633; 9 pages
  • ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences
  • ASME 2009 3rd International Conference on Energy Sustainability, Volume 2
  • San Francisco, California, USA, July 19–23, 2009
  • Conference Sponsors: Advanced Energy Systems Division and Solar Energy Division
  • ISBN: 978-0-7918-4890-6 | eISBN: 978-0-7918-3851-8
  • Copyright © 2009 by ASME


To enhance the performance and achieve a controlled condition with an optimized system a more precise modeling for power plant dynamics is needed. In this paper, a complete oil cycle of Shiraz solar power plant is modeled and controlled. Also, adaptive network-based fuzzy inference system (ANFIS) was employed to control collectors’ field. Furthermore, fuzzy switching control is utilized In order to prevent chattering phenomena of this multi-loop plant. Simulation results of the oil cycle solar power plant and the controller system show that the applied controller system can manage the oil cycle in different situations within safe operating conditions and with better performances.

Copyright © 2009 by ASME



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