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Evaluation of online identification methods for optimal control of a laboratory model turbogenerator

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2 Author(s)
Sharaf, M.M. ; University of Liverpool, Department of Electrical Engineering & Electronics, Liverpool, UK ; Hogg, B.W.

The paper describes the application of four methods of online parameter identification to a laboratory model turbogenerator. It presents a practical assessment of the accuracy and characteristics of each method in obtaining a discrete linear multivariable model of a nonlinear process. State-space controllers have been designed on the basis of these models, and thoroughly tested in the laboratory. The results show that a very high quality of control may be achieved in this manner.

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Control Theory and Applications, IEE Proceedings D  (Volume:128 ,  Issue: 2 )