By João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)
This booklet describes equipment for adaptive keep an eye on of distributed-collector sunlight fields: vegetation that gather solar power and carry it in thermal shape. Controller layout equipment are awarded which can conquer problems present in those form of plants:
- they are distributed-parameter structures, i.e., platforms with dynamics that depend upon house in addition to time;
- their dynamics is nonlinear, with a bilinear structure;
- there is an important point of uncertainty in plant knowledge.
Adaptive equipment shape the focal point of the textual content as a result measure of uncertainty within the wisdom of plant dynamics. elements of the textual content are dedicated to layout equipment that imagine just a very restricted wisdom in regards to the plant. different elements element equipment that depend upon wisdom of the dominant plant constitution. those equipment are extra plant particular, yet let the development of performance.
Adaptive regulate of solar power Collector Systems demonstrates the dynamics of sunlight fields to be wealthy adequate to provide a problem to the regulate clothier whereas, whilst, easy adequate to permit analytic paintings to be performed, supplying case stories on dynamics and nonlinear keep watch over layout in an easy and revealing, yet nontrivial way.
The regulate techniques handled during this monograph could be generalized to use to different vegetation modelled through hyperbolic partial differential equations, in particular strategy crops within which shipping phenomena ensue, crops like dryers, steam super-heaters or even street traffic.
An very important instance, used many times through the textual content, is a distributed-collector sunlight box put in at Plataforma sunlight de Almeria, positioned in southern Spain. The regulate algorithms specified by the textual content are illustrated with experimental effects generated from this plant.
Although the first concentration of this monograph is solar power collector, the diversity of different platforms that can enjoy the tools defined will make it of curiosity to regulate engineers operating in lots of industries in addition to to educational keep an eye on researchers attracted to adaptive keep an eye on and its applications.
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Extra info for Adaptive Control of Solar Energy Collector Systems
Part II: advanced control approaches. Solar Energy 81:1252– 1272 Camacho EF, Rubio FR, Hughes FM (1992) Self-tuning control of a solar power plant with a distributed collector field. IEEE Control Syst Mag 72–78 24 1 Solar Energy Collector Systems Cardoso A, Henriques J, Dourado A (1999) Fuzzy supervisor and feedforward control of a solar power plant using accessible disturbances. In: Proceedings of European Control Conference, ECC 99 Carotenuto L, La Cava M, Muraca P, Raiconi G (1986) Feedforward control for the distributed parameter model of a solar power plant.
Int J Adapt Control Signal Proc 11(4):311–325 Camacho EF, Berenguel M, Bordóns C (1994) Adaptive generalized predictive control of a distributed collector field, IEEE Trans Control Syst Technol 2(4):462–467 Camacho EF, Berenguel M, Rubio F (1994) Application of a gain scheduling generalized predictive controller to a solar power plant. Control Eng Pract 2(2):227–238 Camacho EF, Berenguel M, Rubio F (1997) Advanced control of solar plants. Springer Camacho EF, Berenguel M, Rubio FR, Martínez D (2012) Control of solar energy systems.
The other factor that reduces radiation intensity are passing clouds. The record on the right of Fig. 14 shows three groups of clouds passing that drastically reduce the arriving solar radiation intensity, sometime to values close to just 100 Wm−2 . It should be remarked that, specially at the beginning and at the end of the day, the radiation intensity varies such as to resemble a ramp function. Hence, basic system theory arguments allow us to conclude that if the controller contains just one integrator a steady state error will result.
Adaptive Control of Solar Energy Collector Systems by João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)