New PDF release: Adaptive Control of Solar Energy Collector Systems

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

ISBN-10: 0857299158

ISBN-13: 9780857299154

ISBN-10: 3319068520

ISBN-13: 9783319068527

ISBN-10: 3319068539

ISBN-13: 9783319068534

This publication describes equipment for adaptive keep watch over of distributed-collector sun fields: crops that gather solar power and carry it in thermal shape. Controller layout tools are awarded that may conquer problems present in those kind 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 tools shape the focal point of the textual content a result of measure of uncertainty within the wisdom of plant dynamics. components of the textual content are dedicated to layout tools that imagine just a very constrained wisdom concerning the plant. different elements aspect tools that depend on wisdom of the dominant plant constitution. those equipment are extra plant particular, yet permit the advance 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 keep watch over clothier whereas, while, uncomplicated sufficient to permit analytic paintings to be performed, supplying case stories on dynamics and nonlinear keep an eye on layout in an easy and revealing, yet nontrivial way.

The keep watch over ways taken care of during this monograph should be generalized to use to different crops modelled through hyperbolic partial differential equations, particularly procedure crops during which shipping phenomena ensue, crops like dryers, steam super-heaters or even road traffic.

An very important instance, used time and again through the textual content, is a distributed-collector sunlight box put in at Plataforma sunlight de Almeria, positioned in southern Spain. The keep watch over 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 alternative structures which may enjoy the equipment defined will make it of curiosity to manage engineers operating in lots of industries in addition to to educational regulate researchers attracted to adaptive regulate and its applications.

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Extra resources for Adaptive Control of Solar Energy Collector Systems

Example text

A suitable controller is provided by some Model Predictive Control algorithms. More details on adaptive cascade control solutions will be provided in Chap. 3. In general, unless explicitly stated otherwise, when we consider the control of the field, we refer to the situation of Fig. 13 and not to cascade control. Furthermore, we refer to the average of the temperatures of the fluid leaving the collector loops simply as “the temperature”. A detailed discussion of the dominant dynamics of distributed collector solar fields is made in Chap.

1 + γ .. ⎥ ⎥ ⎥ .. . 0 ⎦ . . 4 Finite Dimension State-Space Models 37 the set of Eqs. 18) may be written in compact form as → x˙ = Bxu + αρR + − e1 u T (0, t). 19) It is remarked that matrix B is invertible and has n eigenvalues equal to −(1 + γ). 2 Reachable States In a dynamical system such as a DCSF, the reachable states are the plant model states that can be attained, starting from the origin by manipulating the plant input within its admissible values. Characterizing the set of reachable states is of interest because it provides the ground for the control design methods based on feedback linearization that are considered in Chap.

3 Jacobian Linearization To understand the dynamics of the linearized system around an equilibrium point, assume that the radiation R is constant and that the temperature of the inlet fluid is zero, T (0, t) = 0. Let u eq be a constant velocity of the fluid and let xeq denote the corresponding value of the state at equilibrium. Both these variables satisfy 38 2 Models and Dynamics Bxeq u eq + αρR = 0. 20) Since B is invertible and u eq is a scalar, the distribution of temperature at equilibrium can be computed explicitly by xeq = αR −1 B ρ.

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

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