Cascade control of a distributed collector solar field

Silva, R.N.; Rato, Luís; Lemos, João M.; Coito, Fernando

doi:10.1016/s0959-1524(96)00019-4

Cited by 49 publications

(20 citation statements)

References 6 publications

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“…This problem has been studied experimentally at PSA by n umerous research groups investigating di erent control strategies and design methods, see e.g. Camacho et al 1997, Silva et al 1997 . It is recognized that the plant dynamics contain signi cant nonlinear e ects due to variations in the oil ow rate.…”

Section: Introductionmentioning

confidence: 99%

Gain-scheduled control of a solar power plant

Johansen

Hunt

Petersen

2000

Control Engineering Practice

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The application of gain-scheduled control to a pilot-scale solar power plant is described. A eld of parabolic collectors focus the solar radiation onto a tube where oil is pumped through in order to collect the solar power. The control problem is to keep the temperature of the oil leaving the eld at its desired value by manipulating the oil pump ow rate. It is shown that gain-scheduling can e ectively handle the plant nonlinearities, using high-order local linear ARX models that form the basis for the design of local linear controllers using pole placement.

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Section: Introductionmentioning

confidence: 99%

Gain-scheduled control of a solar power plant

Johansen

Hunt

Petersen

2000

Control Engineering Practice

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“…Although the authors, among other researchers, have participate on the development of several controllers for this plant using adaptive predictive control techniques Silva et al, 1998;Silva et al, 1997;Rato et al, 1997;Pickhardt and Silva, 1998), i.e. without any a priori knowledge about the plant, in this work, the goal was to increase performance by the development of an adaptive predictive controller embedding in its design the relevant physical characteristics of the plant.…”

Section: Introductionmentioning

confidence: 99%

Time scaling internal state predictive control of a solar plant

Silva¹,

Rato

Lemos

2003

Control Engineering Practice

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The control of a distributed collector solar field is addressed in this work, exploiting the plant's transport characteristic. The plant is modeled by a hyperbolic type partial differential equation (PDE) where the transport speed is the manipulated flow, i.e. the controller output. The model has an external distributed source, which is the solar radiation captured along the collector, approximated to depend only of time. From the solution of the PDE, a linear discrete state space model is obtained by using time-scaling and the redefinition of the control input. This method allows overcoming the dependency of the time constants with the operating point. A model-based predictive adaptive controller is derived with the internal temperature distribution estimated with a state observer. Experimental results at the solar power plant are presented, illustrating the advantages of the approach under consideration.

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“…(Camacho et al 1997, Silva et al 1997, Johansen et al 2000 and the references therein. This paper is organized as follows: First we g i v e a n o verview of the plant and a mathematical model in section 2.…”

Section: Introductionmentioning

confidence: 99%

Energy-based control of a distributed solar collector field

Johansen

Storaa

2002

Automatica

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Model-based control of the outlet temperature of a distributed solar collector eld is studied. An energy-based cont r o l l e r i s d e r i v ed using internal energy as a storage function and controlled variable. The controller relies on a distributed parameter nonlinear plant model and includes feedforward from the solar irradiation and inlet temperature. Stability of the closed loop is proved, and the method is experimentally veri ed to perform well on a pilot-scale solar power plant.

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Cascade control of a distributed collector solar field

Cited by 49 publications

References 6 publications

Gain-scheduled control of a solar power plant

Gain-scheduled control of a solar power plant

Time scaling internal state predictive control of a solar plant

Energy-based control of a distributed solar collector field

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