Download PDF by P. Albertos, R.S. Strietzel, N. Mort: Control Engineering Solutions: A Practical Approach

By P. Albertos, R.S. Strietzel, N. Mort

ISBN-10: 0852968299

ISBN-13: 9780852968291

This strange publication addresses a few universal regulate difficulties from an experimental engineering viewpoint, utilizing reasonably cheap, laboratory structures. In each one case a laboratory set-up and experiments are defined, besides theoretical context and effects from implementation. It for this reason enhances traditional theoretical books and textbooks. it truly is hugely overseas, emanating from a eu Tempus venture (IMPACT). as well as its price to academics of regulate, in addition to scholars, will probably be of curiosity to working towards keep an eye on engineers looking new perception to their very own useful difficulties.

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A high degree of precision in modelling the process can be reached at the cost of increased model complexity. Thus, a tradeoff must be established based on the final aim of the identified model. ), the model structure and even the estimating algorithm employed must be adapted on-line. Therefore, a supervisory 20 Control engineering solutions: a practical approach level is often required for the correct functioning of the overall system (this is especially required when using estimators in a framework of adaptive control).

Waste-water treatment test plant control: computer aided modern control teaching', IFAC Trends in Control and Measurement Education, 1988, Swansea, UK, pp. 53-59 4 LANDAU, I. : 'Parameter adaptive control algorithms: a tutorial', Automatical 1982,18, pp. ', (Springer-Verlag, Berlin, 1991) 8 GOODWIN, G. C. and SIN, K. : 'Adaptive filtering, prediction and control', (Prentice-Hall, 1984) 9 WELLSTEAD, P. , and ZARROP, M. : 'System modeling and identification', (Prentice-Hall, 1993) 11 ASTROM, K.

2 Sampling period selection Parameter estimation procedures involve the pre-selection of certain algorithm parameters. For discrete-time models, the first issue to tackle is the sampling period selection. This will depend either on the time constants of the process (if the aim is just to model it) or on the desired time constants of the controlled closed-loop system if the main goal is to model it in order to design an appropriate controller. As is well known, the shorter the sampling period ts, the smaller the magnitude of the numerical values obtained for the coefficients of the polynomial B(z~x).

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Control Engineering Solutions: A Practical Approach by P. Albertos, R.S. Strietzel, N. Mort

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