Dissertation/Thesis Abstract

Advanced Nonlinear Control and Estimation Methods for AC Power Generation Systems
by Gu, Patrick, M.S., Southern Illinois University at Edwardsville, 2017, 93; 10263630
Abstract (Summary)

Due to the increased demand for reliable and resilient controls in advanced power generation systems, new control methods are required to tackle traditional problems within these systems. This work discusses a control method and an estimation method for advanced control systems. The control method is sliding mode controls of a higher order, which is used to control the nonlinear wind energy conversion system while lessening the chattering phenomena that causes mechanical wear when using first order sliding mode controls. The super-twisting algorithm is used to create a second order sliding mode control. The estimation method is the derivation of a Resilient Extended Kalman filter, which can estimate and control the system through sensor undergoing failures with a binomial distribution rate and known mean value. Simulations on these dynamical systems are presented to show the effectiveness of the proposed control methods; the former is applied to a wind energy conversion system and the latter is applied to an single machine infinite bus. Both methods are also compared with more traditional methods in their respective applications, those being first order sliding mode controls and the Extended Kalman filter.

Indexing (document details)
Advisor: Wang, Xin
Commitee: Lozowski, Andy, York, Timothy
School: Southern Illinois University at Edwardsville
Department: Electrical and Computer Engineering
School Location: United States -- Illinois
Source: MAI 56/05M(E), Masters Abstracts International
Subjects: Alternative Energy, Electrical engineering, Energy
Keywords: Kalman filtering, Nonlinear controls, Resilient controls, Robust controls, Sliding mode control, Wind energy
Publication Number: 10263630
ISBN: 9781369766875
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