Download Adaptive Control of Solar Energy Collector Systems by João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.) PDF

By João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)

This publication describes equipment for adaptive keep watch over of distributed-collector sunlight fields: vegetation that acquire solar power and carry it in thermal shape. Controller layout equipment are awarded which could triumph over problems present in those form of plants:

  • they are distributed-parameter structures, i.e., structures 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. components of the textual content are dedicated to layout equipment that suppose just a very constrained wisdom concerning the plant. different components element tools that depend on wisdom of the dominant plant constitution. those equipment are extra plant particular, yet permit the development of performance.

Adaptive regulate of solar power Collector Systems demonstrates the dynamics of sun fields to be wealthy sufficient to offer a problem to the regulate fashion designer whereas, whilst, basic sufficient to permit analytic paintings to be performed, supplying case reports on dynamics and nonlinear regulate layout in an easy and revealing, yet nontrivial way.

The regulate methods taken care of during this monograph will be generalized to use to different crops modelled by means of hyperbolic partial differential equations, in particular procedure crops within which shipping phenomena take place, vegetation like dryers, steam super-heaters or even road traffic.

An vital instance, used many times through the textual content, is a distributed-collector sun 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 variety of different structures which may enjoy the tools defined will make it of curiosity to regulate engineers operating in lots of industries in addition to to educational regulate researchers drawn to adaptive regulate and its applications.

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Extra info for Adaptive Control of Solar Energy Collector Systems

Example text

Along these curves, the solution T (z, t) is constant. 11) and hence it vanishes. 5). 9) obtained by propagating the initial temperature distribution along the characteristic lines. 12) and the characteristic lines are straight lines. 6 shows two situations in that the flow is constant but with different values in each case. The higher the flow the faster the temperature distribution along the pipe that affects the pipe outlet. 34 2 Models and Dynamics (a) (b) t T(z,t) y(t)=T(L,t) t T(z,t) y(t)=T(L,t) t=t0 z=0 L t=t0 z=0 z L z Fig.

Control Eng Pract 4(5):677–684 Berenguel M, Camacho EF (1995) Frequency based adaptive control of systems with antiressonance modes. Preprints of 5th IFAC symposium adaptive systems in control and signal processing. Budapest, Hungary, pp 195–200 Berenguel M, Camacho, EF, García-Martín FJ, Rubio FR (1999) Temperature control of a solar furnace. IEEE Control Syst 19(1):8–24 Boyle G (ed) (2004) Renewable energy. Oxford University Press Camacho EF, Berenguel M (1997) Robust adaptive model predictive control of a solar plant with bounded uncertainties.

4 shows the plane [z, t], the initial temperature distribution T (z, t0 ), the time evolution of the inlet fluid temperature T (0, t) that is a boundary condition, and the temperature distribution along the pipe at an arbitrary time instant t = t1 , given by the function T (z, t1 ). 6) allows the computation of T (z, t1 ) as a function of T (z, t0 ) and T (0, t). Physical intuition tells that T (z, t1 ) is computed by making a shift to the right along the z-axis of the initial distribution T (z, t0 ) in a way that depends on the fluid flow.

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