2010
DOI: 10.1109/tcst.2009.2039137
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Robust Nonlinear Predictive Control Applied to a Solar Collector Field in a Solar Desalination Plant

Abstract: This brief presents the application of a robust nonlinear predictive controller to the distributed collector field of a solar desalination plant. The main purpose of the controller is to manipulate the water flow rate to maintain the collector outlet-inlet temperature gradient constant in spite of disturbances. The controller uses a robust dead-time compensation structure and a nonlinear model predictive control to cope with time delay uncertainties and system nonlinearities, respectively. Simulation and real … Show more

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Cited by 26 publications
(27 citation statements)
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“…Thus, n ¼ 3, N u ¼ 3 and N ¼ 3. These are the parameters of the plant analyzed in this case study: To optimize this problem, an MIQP solver in the Matlab® CPLEX was used to solve (30). A sampling time of 1 h was chosen to validate the EMS.…”
Section: Controller Implementationmentioning
confidence: 99%
“…Thus, n ¼ 3, N u ¼ 3 and N ¼ 3. These are the parameters of the plant analyzed in this case study: To optimize this problem, an MIQP solver in the Matlab® CPLEX was used to solve (30). A sampling time of 1 h was chosen to validate the EMS.…”
Section: Controller Implementationmentioning
confidence: 99%
“…Several algorithms have been tested in this plant, obtaining successful results [19,[27][28][29][30][31]. In this case, the feedback linearization control (FLC) is used [19].…”
Section: Regulatory Layermentioning
confidence: 99%
“…From controller implementation standpoint, an analytical solution with low computational cost is important. Thus, this work is concerned with the investigation of a especial case where N u = 1, N 1 = 1, N 2 = N and λ = 0, which represents the best tradeoff between the computational cost and close loop performance [17], then the optimal input is [18]:…”
Section: Generalized Predictive Controlmentioning
confidence: 99%