Recurrent Neural Networks and Feedback Linearization for a Solar Power Plant Control
نویسندگان
چکیده
A feedback linearisation control scheme is proposed an implemented on a real solar power plant. This structure is based on a non-linear control methodology combined with a recurrent neural predictor. Given model plant mismatches it is crucial to provide the control system with an off-set compensation, being an internal model controller strategy used for this purpose. Experimental results collected on the solar power plant at Plataforma Solar de Almeria, in south of Spain, illustrate how this methodology can be successfully applied in practice.
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