Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/28002/nonlinear-control-of-static-synchronous-compensator-statcom-for-transmission-system/yadana-aung
call for paper physics, ugc approved journals in commerce, physics journal
The Static Synchronous Compensator STATCOM is a shunt controller, which is a member of FACTS devices. In this paper, an effective and robust controller for STATCOM device on transmission lines, a Single Machine Infinite Bus SMIB system is modeled. A state space mathematical model is constructed which considers both electromechanical oscillations and reactive current of the STATCOM at the installation site. Based the obtained third order model, state feedback linearization and linear quadratic regulation LQR approach are applied to obtain a nonlinear control law. The controllers are simulated and tested under different operating conditions comparing with the conventional PI controller.
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Read the full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=49911 DOI: 10.4236/ijmnta.2014.34017 Author(s) Muhammad Rizwan S. Khan, Robert N. K. Loh ABSTRACT This paper addresses the analysis, design, and application of observer-based nonlinear controls by combining feedback linearization (FBL) and backstepping (BS) techniques with Luenberger observers. Complete development of observer-based controls is presented for a bioprocess. Controllers using input-output feedback linearization and backstepping techniques are designed first, assuming that all states are available for feedback. Next, the construction of observer in the transformed domain is presented based on input-output feedback linearization. This approach is then extended to observer design based on backstepping approach using the error equation resulted from the backstepping design procedure. Simulation results demonstrating the effectiveness of the techniques developed are presented and compared.EWW140924GJR KEYWORDS Bioprocess, Feedback Linearization, Backstepping, Luenberger Observers, Observer-Based Control
