| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 303.34 KB | Adobe PDF |
Advisor(s)
Abstract(s)
In this paper the robustness of three model-based control strategies—internal model control (IMC) with linear models, IMC with neural network models, and feedback linearisation control—for the Archimedes Wave Swing (AWS), a device designed to produce electricity from the energy of sea waves, is assessed by checking how their performance, optimised for a neutral tide with a standard atmospheric pressure, changes under high and low tides, and under atmospheric pressure variations. The original AWS controller and latching control are used as a term of comparison. Simulation results show that, as a rule, low tides and lower atmospheric pressures lead to higher power productions, while high tides and higher atmospheric pressures lead to lower power productions; but, in spite of model maladjustments, model-based control strategies are not at disadvantage when compared with latching control.
Description
Keywords
Robustness Internal model control (IMC) Archimedes Wave Swing Latching control
Citation
VALÉRIO, Duarte; [et al] – Robustness assessment of model-based control for the archimedes wave swing. In Proceedings of the European Control Conference 2009. Budapest, Hungary: EUCA, 2009. ISBN 978-3-9524173-9-3. Pp. 3749-3754