Abstract
The paper considers the investigation of a novel robust control algorithm of an electric generator with unknown parameters under bounded disturbances and high-frequency measurement noises. It is assumed that only the load angle is available for measurement, but not the rotor speed. The electric generator model is described by a system of third-order nonlinear differential equations with algebraic coupling ones. The proposed algorithm consisting of static and dynamical terms is based on the separation of the filtering and estimating properties. Differently from existing results the proposed scheme provides the opportunity to control independently the quality of filtering and stabilization. Investigations show that the proposed algorithm attenuates parametric uncertainties and disturbances with accuracy that can be reduced by tuning algorithm parameters.
Highlights
Since the demand for electricity is increasing continuously, the present trends of power system engineers are to operate the power systems closer to their stability limits without sacrificing the reliability
It is a well-known fact that an electric generator can not be stabilized with zero voltage applied to the excitation coil uf (t) and non-zero mechanical input power Pm
It is assumed that only the load angle is available for measurement
Summary
Since the demand for electricity is increasing continuously, the present trends of power system engineers are to operate the power systems closer to their stability limits without sacrificing the reliability. A robust adaptive backstepping scheme is proposed in [Roy, Mahmud, Shen, and Oo, 2015] to design an excitation controller for the electric generator, which considers both parametric uncertainties and external disturbances along with measurement noises. A robust partial feedback linearizing controller is proposed in [Mahmud, Pota and Hossain, 2012] where both state dependent and parametric uncertainties are modeled as a structured uncertainty that is explicitly used in LQR design. It uses the speed deviation signal as the output function. The stability region of the generator could be obtained during control parameter tuning
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
