DocumentCode :
2317991
Title :
Contribution to Determination of Domain of Attraction in Power Systems: Application to Drives with Input Filter
Author :
Marx, D. ; Pierfederici, S. ; Nahid-Mobarakeh, Babak ; Davat, B.
Author_Institution :
Inst. Nat. Polytech. de Lorraine (INPL), Nancy Univ., Vandoeuvre-Les-Nancy, France
fYear :
2009
fDate :
4-8 Oct. 2009
Firstpage :
1
Lastpage :
8
Abstract :
The objective of this paper is to present an analytical method allowing large signal stability analysis of an electric system constituted by a DC power supply and its output filter connected to a constant power load. Here, the load is realized by a voltage source inverter motor mechanical load actuator system. We suppose that proper controllers are used to drive the actuator. Then, a large signal stability analysis is given for studying the dc-link voltage behavior under large unknown disturbances. This study is based on the Takagi-Sugeno theorem which generates a Lyapunov function allowing the determination of a domain of attraction for a given operating point. This approach may be applied either to estimate robustness properties of a controlled drive system or to be used as a design tool for the dc-link capacitance value. Simulations and experimentations confirm the validity of the proposed approach.
Keywords :
DC motors; Lyapunov methods; invertors; machine control; motor drives; nonlinear control systems; stability; DC power supply; Lyapunov function; Takagi-Sugeno theorem; input filter; large signal stability analysis; mechanical load actuator system; power load; voltage source inverter motor; Actuators; Filters; Inverters; Power supplies; Power system analysis computing; Power system stability; Power systems; Signal analysis; Stability analysis; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 2009. IAS 2009. IEEE
Conference_Location :
Houston, TX
ISSN :
0197-2618
Print_ISBN :
978-1-4244-3475-6
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/IAS.2009.5324820
Filename :
5324820
Link To Document :
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