New PDF release: ADEX Optimized Adaptive Controllers and Systems: From

By Juan M. Martín-Sánchez, José Rodellar

ISBN-10: 3319097938

ISBN-13: 9783319097930

ISBN-10: 3319097946

ISBN-13: 9783319097947

This publication is an easy and didactic account of the advancements and functional functions of predictive, adaptive predictive, and optimized adaptive keep an eye on from a point of view of balance, together with the most recent method of adaptive predictive specialist (ADEX) control.
ADEX Optimized Adaptive keep watch over Systems is split into six components, with routines and real-time simulations supplied for the reader as acceptable. The textual content starts with the conceptual and intuitive wisdom of the expertise and derives the steadiness stipulations to be proven via the driving force block and the adaptive mechanism of the optimized adaptive controller to warranty the specified keep watch over functionality. the second one and 3rd components current strategic concerns of predictive keep watch over and similar adaptive structures important for the right kind layout of driving force block and adaptive mechanism and thence their technical attention. The authors then continue to aspect the steadiness idea that helps predictive, adaptive predictive and optimized adaptive keep watch over methodologies. Benchmark purposes of those methodologies (distillation column and pulp-factory bleaching plant) are taken care of subsequent with a spotlight on sensible implementation concerns. the ultimate a part of the publication describes ADEX structures and illustrates their use within the layout and implementation of optimized adaptive keep an eye on structures to 3 diverse challenging-to-control commercial processes:

  • waste-water treatment;
  • sulfur restoration; and
  • temperature keep an eye on of superheated steam in coal-fired energy generation.

The presentation is done via a few appendices containing technical history linked to the most textual content together with a guide for the ADEX COP platform built through the 1st writer to use the services of adaptive predictive regulate in actual plants.
ADEX Optimized Adaptive regulate platforms provides working towards technique regulate engineers with a multivariable optimum keep an eye on answer that is adaptive and immune to perturbation and the consequences of noise. Its pedagogical positive aspects additionally facilitate its use as a educating software for formal collage and Internet-based open-education-type graduate classes in useful optimum adaptive keep an eye on and for self-study.

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Extra info for ADEX Optimized Adaptive Controllers and Systems: From Research to Industrial Practice

Sample text

Obviously, an objective evaluation of these contributions to control theory is difficult in the short term. However, the reality of industrial applications is an objective criterion in itself. Indeed, only two basic methodologies have produced a significant industrial impact: the proportional, integral and derivative (PID) negative feedback methodology and 8 1 Introduction to Optimized Adaptive Controllers and Systems the predictive control methodology. The first one introduced, by the middle of last century, automatic control in the industrial field, but many of the problems described above are still unsolved.

This renders the linear models, generally used in this context, only as approximations of the process behavior, under certain operating conditions. The efficiency requirement has to be understood in the sense that the system should be based on, or should respond to, a criterion with a physical meaning that is as intuitive as possible, and that is able to guarantee optimization in the process operation. The simplicity of the implementation and operation is an important property for a control methodology to be practicable.

Later, it was used by the so-called minimum variance control strategy [Ast70], derived in the context of optimal control theory. This strategy can be considered as the actual precursor to the methodology of predictive control, which for the first time fully exploited the possibilities of real time prediction for control purposes. Before defining the principle of predictive control formally, let us introduce, with the help of a simple example, the concept of discrete time modelling and show how the use of this concept along with a digital computer will help us to define the mathematical relation between the inputs and outputs of a process and to predict the evolution of the output variables.

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ADEX Optimized Adaptive Controllers and Systems: From Research to Industrial Practice by Juan M. Martín-Sánchez, José Rodellar


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