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 ebook describes tools for adaptive keep watch over of distributed-collector sunlight fields: crops that acquire solar power and bring it in thermal shape. Controller layout equipment are provided which can triumph over problems present in those kind of plants:

  • they are distributed-parameter platforms, 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 focal point of the textual content end 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 restricted wisdom concerning the plant. different elements aspect equipment that depend upon wisdom of the dominant plant constitution. those tools are extra plant particular, yet let the development of performance.

Adaptive keep an eye on of solar power Collector Systems demonstrates the dynamics of sunlight fields to be wealthy adequate to give a problem to the keep watch over dressmaker whereas, even as, basic sufficient to permit analytic paintings to be performed, offering case experiences on dynamics and nonlinear keep an eye on layout in an easy and revealing, yet nontrivial way.

The keep watch over ways handled during this monograph could be generalized to use to different crops modelled through hyperbolic partial differential equations, particularly technique crops during which shipping phenomena take place, vegetation like dryers, steam super-heaters or even road traffic.

An vital instance, used many times in the course of 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 alternative platforms that can enjoy the tools defined will make it of curiosity to manage engineers operating in lots of industries in addition to to educational keep watch over researchers attracted to adaptive keep an eye on and its applications.

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Extra resources for Adaptive Control of Solar Energy Collector Systems

Example text

This will be made apparent later in some experimental results. Given the above definition of manipulated, process and disturbance variables, the block diagram of a distributed collector solar field controller is as in Fig. 13. In many cases, feedforward terms from ambient temperature and from inlet fluid temperature are not used. It is remarked that the inlet fluid temperature is affected by the load on the system, that is, by the amount of energy per unit time extracted from the fluid by the secondary circuit connected to the equipment that consumes power.

1994) as well as other gain scheduled approaches (Johansen et al. 2000) and switched multiple model supervisory controllers (Lemos et al. 2000; Pickardt 2000; Pasamontes et al. 2011). In Barão et al. (2002), a nonlinear controller is developed which explicitly takes into account the distributed parameter model of the solar plant. A nonlinear adaptive controller was designed using a joint control Lyapunov function for parameter estimation and control. Nonlinear control with feedback linearization is also considered in Igreja et al.

1981) and Rorres et al. (1980), where an extension of Pontryagin’s Maximum Principle to DCSFs is used. Other approaches include fuzzy logic based control (Rubio et al. 1995; Cardoso et al. 1999; Flores et al. 2005; Pereira and Dourado 2002) and control based on neural network models (Arahal et al. 1998). A major advance is provided by Silva et al. (2003a, b), in which a time varying sampling interval is used. This approach, to be discussed in detail in this book, implements a change in time scale that linearizes the plant, thereby allowing very high sudden changes in reference with a fast response and no overshoot.

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