Статті
Постійне посилання на розділhttps://dspace.nuft.edu.ua/handle/123456789/7372
Переглянути
2 результатів
Результати пошуку
Документ Identification of mathematical model of turbine generator unit in presence of uncertainty(2021) Baliuta, Serhii; Chernenko, P. O.; Kuyevda, Valery; Kuievda, YuliaAn identification procedure of mathematical model of turbine generator unit in the presence of uncertainty is studied for using in the interconnected robust control automated system. The procedure is based on “worst-case” identification approach. The controlled object is modelled by the matrix transfer function with additive uncertainty. The identification consists of two stages: first is to identify transfer function with nominal parameters with the use of prediction error minimization algorithm, second – to determine weight function in additive uncertainty model using finding the worstcase log magnitude curve of uncertainties. Identification is performed in active way, determining datasets for each control channel from individual experiments. A linear frequency-modulated signal is selected as the input test disturbance. A simulation model of the controlled object is constructed and the numerical experiment is conducted using the identification procedure.Документ Synthesis of robust interconnected power system stabilizers for turbine generators in sugar factories(2017) Kuievda, Yulia; Baliuta, SerhiiThis research aims to develop the method of synthesis of interconnected robust power system stabilizer (IRPSS) for power supply systems of sugar factories with own turbine generators. A model of power supply system with own generator, automatic exciter regulator, turbine and speed governor is constructed. The controlled object nonlinear differential equations model is linearized and simplified by reducing of its order using Schur's method. The model is extended with chosen weighting functions preparing for H∞ synthesis procedure. The LMI region is chosen in the form of a conic sector for satisfying condition of lower oscillability of transient process, which is the main goal of such a regulator to optimize turbine generator operation process. The IRPSS for extended model was synthesized, using H∞ synthesis procedure with poles placement. The regulator is presented in the form of matrix continuous transfer function. The transition process of 3-phase short-circuit fault behind the transformer and subsequent automatic re-closing is simulated with full-order nonlinear model with IRPSS and compared with standard system stabilizer and the system without stabilizer. The graphs of modelled transients demonstrate effectiveness of IRPSS.