System Identification: Theory for the User
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Tian, B. Ji, Improved gravitational search algorithm for parameter identification of water turbine regulation system, Energy Conversion and Management, 78 Venayagamoorthy and R. Negnevitsky and V. Park, G. Kishor, S. Singh and A. Albukhanajer, H.
Lefta and A. Abdelazim, O. Rasouli and M. Mori, Y. Kagami, S.
Kanemoto, T. Tamaoki, M. Enomoto and S. Karayaka, A. Keyhani, G. Heydt, B. Agrawal and D. Saarinen, P. Norrlund and U. Tavakoli, M. Power, L.
System Identification: Theory for the User - Lennart Ljung - Google книги
Ruttledge and D. Zhang and H. Duong, K. Uhlen and E. Pahalawatha, G.
Hope, O. Malik and K.
Ichikawa, M. As the parameters of the conventional excitation and speed governor controllers are determined by the system model which is linearized around one operating point, the performances of the controllers at different operating points can be reduced.
Large disturbances encountered in the system can cause the controllers to operate outside the linear region. In addition, when the plant's operating structure changes with time or with changing environmental conditions, it is necessary to readjust the controller parameters.
This readjustment is needed because the controller parameters that are set to provide the best performance at one operating point may not provide the same performance when the operating points change. In order to avoid the degradation in controller performance, system identification can be performed so that the controller parameters will have an adaptive structure.
At the same time, it will be possible to make predictive maintenance, determine optimum operating points, diagnose faults and estimate performance by means of the power plant model built on the basis of system identification. In order to meet these requirements, system identification methods used in power generation systems have been examined throughout this review study and the performances obtained as a result of the changes made in the controllers have been compared. Zotero Mendeley EndNote. Anahtar Kelimeler System identification, control loop, power generation.
Munoz, S. Mansoor and D. Jones, Modelling and Controlling Hydropower Plants. Springer, , New York. Ljung, System Identification: Theory for the User. Prentice Hall, New Jersey. Sun et al. Zaker, G. Gharehpetian, M. Karrari and N.
https://xaecompgeta.cf Simani, S. Alvisi and M. Li, J. Chen, X. Yuan, Y. Yuan, H. Iu and T. Tian, B. Ji, Improved gravitational search algorithm for parameter identification of water turbine regulation system, Energy Conversion and Management, 78 Venayagamoorthy and R. Negnevitsky and V.