Abstract
The hydraulic turbines are operating in dynamic and stationary regimes, strongly affected by random noises. In order to achieve the automatic control and operation optimization, one needs automatic control systems which are simultaneously performing a series of operations, from the conventional control to the operating optimization. A system structure is suggested, which is going to carry out in a correlated and integrated way the functions of power control, control combining, system identification, state estimation, and dynamic and stationary optimization of turbine efficiency.
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References
- M.Athans, The role and use of the stochastic linear-quadratic-gaussian problem in control system design, IEEE Trans. Automat. Conrtr., vol.AC-16, pp.529–552, Dec.1971.
-Äthans, M. Falb, P. “Optimal oohtrol M Mc.Grow-Hill 1965
-Dondoe S., and Duma M., “Establishing an algorithm for on-line determination of an optimal combinatory relation regarding the Kaplan type hydraulic turbines”, Scientific session of the polytechnical institute, Bucharest, 1971.
-Dondoe S, and Ghibu M., “Considerations on a new method of the optimal combinatory relation determining, regarding the Kaplan turbines”, Scientific session of the polytechnical institute, Timigoara 1968;
Duma, M. and Felea S., ICENBRG Rep. nr. 128 A/1972.
-Dyer, P. and Mc.Reynolds, St. - “The computation and theory of optimal control - Acoademio Press - 197o.
-J.R. Fisher, “Optimal non-linear filtering”, - C.T.Leondes Ed., Advances im Control System 5 (1967).
-Nisieh, H.C. and Nesbit, R.A., “The functional analysis and its applications to the problem of minimizing the mean square error”, G.T. Leondes Ed., Modern Gontrol Theory, New York Mc. Grow - Hill, 1965.
-A.H. Jazwinski, “Stochastic processes and filtering theory”, New Kork;Accademic Press, 197o.
-R.E. Kaiman, “A new approach to linear filtering and predication problems”, Trans.ASMS, J. Basic Eng., vol.82, pp.34–45 Mar.196o.
-R.E. Kaiman and R.5.Buey. Kaiman and R.5.Buey, “New results in linear filtering and predication theory, “Trans.. A-SME, J.Basic Eng., vol.83 pp. 95-lo7, Dec. 1961.
-Melsa - Computer programs for computational assistance in the study of linear control theory Mc.Grow-IIill 1970.
-J.M.Mendel, Computational requirements for a discreto Kaiman filter, XBB3 Trans. Autom. Cofa. tr. vol.AC-16 pp.748–758, Dec. 1971.
-Pipes, L. and Hovanessian, Sh.; Matrix-computer methods in Engineering John Wiley & ¡Sons - 1969.
-Sage, “Optimum Systems control” Bnglewood Cliffs Prantice-Hall - 1968.
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© 1974 Springer-Verlag Berlin Heidelberg
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Belea, C., Dondoe, S., Marin, C., Cahaner, S., Nicolae, D. (1974). Hydraulic Turbines Efficiency Optimization in Random Noise Conditions. In: Mansour, M., Schaufelberger, W. (eds) 4th IFAC/IFIP International Conference on Digital Computer Applications to Process Control. Lecture Notes in Economics and Mathematical Systems, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-65796-2_4
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DOI: https://doi.org/10.1007/978-3-642-65796-2_4
Publisher Name: Springer, Berlin, Heidelberg
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