LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Alsharkawi, A.; Rossiter, J.A. (2016)
Publisher: Elsevier
Languages: English
Types: Other
Subjects:
A model predictive control strategy for a concentrated solar thermal power plant is proposed. Design of the proposed controller is based on an estimated linear time-invariant state space model around a nominal operating point. The model is estimated directly from input-output data using the subspace identification method and taking into account the frequency response of the plant. Input-output data are obtained from a nonlinear distributed parameter model of a plant rather than the plant itself. Effectiveness of the proposed control strategy in terms of tracking and disturbance rejection is evaluated through two different scenarios created in a nonlinear simulation environment.\ud \ud
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • A´lvarez, J., Yebra, L., and Berenguel, M. (2008). Control strategies for thermal heat exchangers. Editorial CIEMAT, Madrid, (in Spanish).
    • A´lvarez, J., Yebra, L., and Berenguel, M. (2009). Adaptive repetitive control for resonance cancellation of a distributed solar collector field. International Journal of Adaptive Control and Signal Processing, 23(4), 331- 352.
    • Aringhoff, R., Association, E.S.T.P.I., Agreement, I.S.I., et al. (2005). Concentrated Solar Thermal Power-Now! Greenpeace.
    • Camacho, E.F., Berenguel, M., and Rubio, F.R. (1997). Advanced control of solar plants. Springer-Verlag.
    • Camacho, E.F., Berenguel, M., Rubio, F.R., and Mart´ınez, D. (2012). Control of solar energy systems. SpringerVerlag.
    • Camacho, E., Rubio, F., Berenguel, M., and Valenzuela, L. (2007a). A survey on control schemes for distributed solar collector fields. part i: Modeling and basic control approaches. Solar Energy, 81(10), 1240-1251.
    • Camacho, E., Rubio, F., Berenguel, M., and Valenzuela, L. (2007b). A survey on control schemes for distributed solar collector fields. part ii: Advanced control approaches. Solar Energy, 81(10), 1252-1272.
    • Favoreel, W., De Moor, B., and Van Overschee, P. (2000). Subspace state space system identification for industrial processes. Journal of process control, 10(2), 149-155.
    • Goswami, D.Y., Kreith, F., and Kreider, J.F. (2000). Principles of solar engineering. CRC Press.
    • IEA (2014). Key world energy statistics. International Energy Agency.
    • Johansen, T.A., Hunt, K.J., and Petersen, I. (2000). Gainscheduled control of a solar power plant. Control Engineering Practice, 8(9), 1011-1022.
    • Ljung, L. (1995). System identification toolbox: user's guide. Citeseer.
    • Meaburn, A. and Hughes, F. (1993). Resonance characteristics of distributed solar collector fields. Solar Energy, 51(3), 215-221.
    • Philibert, C. (2010). Technology roadmap: concentrating solar power. OECD/IEA.
    • Rossiter, J.A. (2003). Model-based predictive control: a practical approach. CRC press.
    • Van Overschee, P. and De Moor, B. (1996). Subspace identification for linear systems: TheoryImplementationApplications. Springer Science & Business Media.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article