Adaptive Control of Solar Energy Collector Systems by João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)
By João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)
This publication describes tools for adaptive keep watch over of distributed-collector sunlight fields: vegetation that acquire solar power and bring it in thermal shape. Controller layout tools are awarded which may conquer problems present in those form of plants:
- they are distributed-parameter structures, i.e., platforms with dynamics that rely on 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 point of interest of the textual content as a result of the measure of uncertainty within the wisdom of plant dynamics. elements of the textual content are dedicated to layout tools that think just a very restricted wisdom concerning the plant. different elements aspect tools that depend upon wisdom of the dominant plant constitution. those tools are extra plant particular, yet enable the development of performance.
Adaptive regulate of solar power Collector Systems demonstrates the dynamics of sun fields to be wealthy sufficient to provide a problem to the keep an eye on fashion designer whereas, even as, uncomplicated sufficient to permit analytic paintings to be performed, offering case reports on dynamics and nonlinear regulate layout in an easy and revealing, yet nontrivial way.
The keep watch over ways handled during this monograph might be generalized to use to different vegetation modelled through hyperbolic partial differential equations, in particular strategy vegetation during which delivery phenomena ensue, vegetation like dryers, steam super-heaters or even street traffic.
An very important instance, used time and again through the textual content, is a distributed-collector sunlight box put in at Plataforma sun de Almeria, situated 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 structures which could enjoy the equipment defined will make it of curiosity to regulate engineers operating in lots of industries in addition to to educational keep an eye on researchers drawn to adaptive keep an eye on and its applications.
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Extra info for Adaptive Control of Solar Energy Collector Systems
17), the corresponding increments are also related by αy = Cαx. 24) by equating the derivative to zero, yielding −C xeq /u eq . The fact that the static gain is negative is readily interpreted in physical terms. When the flow increases, the residence time of the fluid particles inside the pipe decreases, as well as their temperature when they reach the outlet, because the particles receive less radiation. 25). 4 Finite Dimension State-Space Models 39 R=constant u=u eq +Δu y=y eq +Δy DCSF u eq Δu y eq t Δy t Fig.
Alpha Science International ltd, Pangborne Valenzuela L, Zarza E, Berenguel M, Camacho EF (2004) Direct steam generation in solar boilers. IEEE Control Syst Mag 24(2):15–29 Valenzuela L, Zarza E, Berenguel M, Camacho EF (2005) Control concepts for direct steam generation in parabolic throughs. Solar Energy 78:301–311 Valenzuela L, Zarza E, Berenguel M, Camacho EF (2006) Control scheme for direct steam generation in parabolic throughs under recirculation operation mode. Solar Energy 80:1–17 Chapter 2 Models and Dynamics This chapter describes models of distributed collector solar fields (DCSF) and uses them to discuss the typical dynamics found in these plants.
2 to show how to develop a variable sampling interval control algorithm that overcomes the limitations of the black box approach by allowing very fast temperature changes. Chapter 6 explores an alternative method that uses the field model structure. While the class of algorithms of Chap. 5 relies on a change of the time variable to attain the control objectives, exact feedback linearization and adaptation based on Lyapunov’s Second Method are explored here. Chapter 7 approaches the problem of following a pre-specified reference temperature profile combining flat system concepts for system inversion and adaptive control.