Digital Self-tuning Controllers: Algorithms, Implementation by Vladimír Bobál, Joseph Böhm, Jaromír Fessl, Jirí Machácek PDF

By Vladimír Bobál, Joseph Böhm, Jaromír Fessl, Jirí Machácek

ISBN-10: 1852339802

ISBN-13: 9781852339807

Adaptive keep watch over idea has built considerably during the last few years; self-tuning regulate represents one department of adaptive keep watch over that has been effectively utilized in perform. Controller layout calls for wisdom of the plant to be managed which isn't regularly without problems obtainable; self-tuning controllers assemble such info in the course of basic operation and regulate controller designs online as required. electronic Self-tuning Controllers offers you with a whole direction in self-tuning regulate, starting with a survey of adaptive keep watch over and the formula of adaptive keep watch over difficulties. Modelling and identity are handled prior to passing directly to algebraic layout equipment and specific PID and linear-quadratic types of self-tuning keep watch over. ultimately, laboratory verification and experimentation will aid you floor your theoretical wisdom in actual plant keep watch over. positive aspects: accomplished assurance delivering every thing a scholar must find out about self-tuning keep watch over from literature survey to the keep watch over of an experimental warmth exchanger; a robust emphasis on sensible challenge fixing with regulate algorithms truly specified by easy-to-follow formulae, code listings or made without delay to be had as MATLAB® services making the publication fairly compatible as an reduction to undertaking paintings; specifically written MATLAB® toolboxes handy for the presentation of general keep watch over method and plant houses and prepared to be used in direct keep an eye on of actual or simulated vegetation on hand from springeronline.com; labored examples and educational workouts to steer you thru the educational method. electronic Self-tuning Controllers contains a useful path with which graduate scholars and complicated undergraduates can conquer the numerous difficulties of placing the strong instruments of adaptive keep an eye on conception into perform. The textual content can be of a lot curiosity to regulate engineers wishing to hire the guidelines of adaptive keep an eye on of their designs and plant.

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Extra resources for Digital Self-tuning Controllers: Algorithms, Implementation and Applications (Advanced Textbooks in Control and Signal Processing)

Example text

The model must be selected from the class of so-called parametric models. These are models that can be described as a function of independent variables (in the discrete-time version using samples of the last values of input and output variables) and from a finite number of parameters. Determination of these parameters is the subject of identification. 22 3 Process Modelling and Identification for Use in Self-tuning Controllers 3. A criterion for comparing the differences between various types of models from the given class must be chosen.

0015 In both cases, the prediction error converges to zero and values of the criteria are the same, however, in solution (b) the estimated parameters converge to the correct values of the process. 7. 4. Evolution of parameter estimates and prediction error – solution (b) ity bound. Therefore, it is obvious that inclusion of parameters d1 , d2 into the ARX model results in better accuracy of the identification experiment. 5. , Nottingham, United Kingdom). This model can be used for design and laboratory testing of control algorithms in real-time conditions.

Conditions for the lack of bias of the estimates can be tested or verified. However, when performing identification for adaptive control, it is necessary to meet the following conditions: • • • • • • The data (inputs) are generated by a feedback controller. The aim of the controller is to compensate for disturbances and to stabilize the process. These circumstances make it more difficult to identify process parameters. The identification process for adaptive control takes an infinitely long time. It is, therefore, not possible to assume constant parameter estimates.

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Digital Self-tuning Controllers: Algorithms, Implementation and Applications (Advanced Textbooks in Control and Signal Processing) by Vladimír Bobál, Joseph Böhm, Jaromír Fessl, Jirí Machácek


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