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Nonlinear controllers for solar thermal plants: A comparative study
Affiliation:1. Universidade Federal de Santa Catarina, Departamento de Automação e Sistemas, 88040-900 Florianópolis, SC, Brazil;2. Dpto. de Informática, Universidad de Almería - CIESOL, Campus de Excelencia Internacional Agroalimentario, ceiA3. Crta. Sacramento s/n, 04120 La Cañada, Spain;1. Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UK;2. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK;1. Grenoble INP, Gipsa-Lab (UMR5216), F-38400 Saint Martin d׳Hères, France;2. Université de Lyon, INSA Lyon, Ampère (UMR5005), F-69621 Villeurbanne, France;1. University of Bayreuth, Mathematical Institute, Germany;2. Ruhr-University Bochum, Institute of Automation and Computer Control, Germany;1. Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506, USA;2. Department of Aerospace Engineering Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Abstract:Solar plants have nonlinear dynamics which must be taken into account when a control system is applied to them. The main purpose of the control systems is to maintain the outlet temperature in a desired reference value and, at the same time, attenuate the undesirable transients caused by the disturbances. Linear controllers, like PID ones, are not able to obtain good performance over the whole operation range of these kind of plants. To overcome these limitations two nonlinear controllers, a nonlinear model-based predictive controller and a distributed sliding mode controller, are applied to a solar plant in this work. The performance of these controllers is tested through experimental and simulation results, which show the tracking and disturbance rejection capabilities of the proposed controllers.
Keywords:Nonlinear model-based predictive control  Partial differential equations  Sliding mode control  Solar thermal plant  Temperature control
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