Adaptive control of a solar power plant using a multi-model

Feedback linearization control for a distributed solar collector field

“…The experiments demonstrated that the controller's combination of simplicity and excellent performance makes it very suitable for this kind of nonlinear plant, and the influence of disturbances is easily embedded in the nonlinear mapping representative of the FL technique in such a way that the feedforward-feedback controller developed is able to control it over the entire range of other operating conditions without requiring parameter identification typical of adaptive control mechanisms, e.g. Camacho et al (1997), Coito, Lemos, Silva, & Mosca (1997), Pickhardt (2000a), or controller commutation, as in gain-scheduling controllers, e.g. , Johansen et al (2000), which have also been shown to be a good control approximation for this kind of system.…”

“…During recent years, many control methods have been employed at the Plataforma Solar de Almerı´a (Spain) ACUREX distributed solar collector field, those more related to the results shown in this paper ranging from PID control (Camacho, Berenguel, & Rubio, 1997), cascade control , model predictive control (Camacho et al, 1997;, adaptive control and gain scheduling control (Berenguel & Camacho, 1996;Camacho, Berenguel, & Bordo´ns, 1994;Camacho, Berenguel, & Rubio, 1994;Johansen, Hunt, & Petersen, 2000;Meaburn & Hughes, 1994;Pickhardt, 2000a), internal model control (Farkas & Vajk, 2002), nonlinear control (Barao, Lemos, & Silva, 2002;Cirre, Valenzuela, Berenguel, & Camacho, 2005;Igreja, Lemos, Barao, & Silva, 2003;Igreja, Lemos, Barao, & Silva, 2005;Johansen & Storaa, 2002;Pickhardt, 2000b;Silva, Rato, & Lemos, 2002), robust control (Cirre, Moreno, & Berenguel, 2003;Ortega, Rubio, & Berenguel, 1997), fuzzy logic control Flores, Saez, Araya, Berenguel, & Cipriano, 2005;Juuso, Balsa, & Valenzuela, 1998; & Camacho, 1995) and neural network-based controllers (Arahal, Berenguel, & Camacho, 1998;Gil, Henriques, Carvalho, Duarte-Ramos, & Dourado, 2002;Pereira & Dourado, 2002). A feedforward action is required in most cases to mitigate the effect of disturbances in the signal to be controlled (Berenguel, Camacho, & Rubio, 1993;Camacho, Rubio, & Hughes, 1992;Camacho et al, 1997;Carotenuto, LaCava, Muraca, & Raiconi, 1986;Meaburn & Hughes, 1996;R...…”

Sustainability and process control: A survey and perspective

“…is performed independently of sun-tracking. Regulation of the working fluid temperature to a reference signal has been addressed using PID control [316], gain scheduling [317], LQG [318], sliding mode control [319], feedback linearization [320], robust adaptive MPC [321], and nonlinear MPC [322]. The variation of dead time with fluid flow rate (the typical manipulated variable) and nonlinearity in heat transfer dynamics make conventional linear control difficult [322].…”

Adaptive repetitive control for resonance cancellation of a distributed solar collector field

“…However, these models are not able to capture the intrinsic resonance dynamics of this kind of system. For the best representation of system dynamics, nonlinear models [5][6][7][8][9][10][11][12][13][14], frequency-based adaptive models [15] and high-order linear models have been proposed in the literature [5,[16][17][18][19][20].…”