FUZZY SUPERVISOR OF PID CONTROLLERS FOR THE ACUREX FIELD AT PSA

Solar power plants are characterised by the fact that the primary energy source, the solar radiation, varies throughout the day causing changes in plant dynamics which leads to distinct several main operating points. Therefore it is difficult to obtain an acceptable performance over the total operating range with a fixed controller. This paper presents the investigation of a fuzzy switching supervisor PID control strategy to the distributed collector field of a solar power plant at the Plataforma Solar de Almería (Spain). The fuzzy supervisor technique, using measured actual data available from the plant, provides a way to switch between several fixed PID controllers, a priori tuned with a neural network strategy. To deal with the effects of fast and unexpected deviations on inlet oil temperature the introduction of a feedforward compensator is also investigated. Simulation and experimental results are presented showing the effectiveness of the proposed approach.

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