Name
Abstract | ||
|---|---|---|
A new constrained control strategy for a solar furnace is proposed in this paper with the goal of attaining a minimum-time transition between two values of the temperature subject to constraints on both the saturation and slew rate level of the process input. In the case of set-point step-shape signals, the strategy basically consists in implementing a (model-based) feedforward control law with maximum positive and negative velocity phases in order to obtain a minimum-time transition with no overshoot. In the case of ramp-shape set-point signals (addressing the output slew-rate constraint), the suitable feedforward control law is obtained by also inverting the dynamics of the system. Implementation issues are discussed. Simulation and real experimental results demonstrate the effectiveness of the methodology. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TCST.2011.2164795 | IEEE Trans. Contr. Sys. Techn. |
Keywords | Field | DocType |
Furnaces,Feedforward neural networks,Temperature control,Apertures,Process control,Solar radiation | Aperture,Feedforward neural network,Control theory,Temperature control,Overshoot (signal),Solar furnace,Control engineering,Process control,Slew rate,Mathematics,Feed forward | Journal |
Volume | Issue | ISSN |
20 | 5 | 1063-6536 |
Citations | PageRank | References |
2 | 0.45 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Beschi | 1 | 25 | 10.40 |
| Antonio Visioli | 2 | 224 | 40.89 |
| Manuel Berenguel | 3 | 98 | 21.50 |
| Luis José Yebra | 4 | 2 | 1.13 |