Open AccessDesign of a Robust Controller by LQG/LTR Formalism for Francis hydro Turbine Driving a Synchronous Generator
Author(s) -
Yeremou Tamtsia Aurelien,
Nneme Nneme Léandre,
Samba Aimé Hervé
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9392.109119
Subject(s) - linear quadratic gaussian control , control theory (sociology) , robustness (evolution) , linear quadratic regulator , optimal projection equations , robust control , turbine , control engineering , engineering , control system , optimal control , computer science , mathematics , mathematical optimization , control (management) , mechanical engineering , biochemistry , chemistry , artificial intelligence , electrical engineering , gene
This paper presents the design and application of a robust controller by Linear-Quadratic-Gaussian method with Loop-Transfer-Recovery (LQG \LTR) at the same time to carefully attain performance and robustness objectives. To improve Stability, the robust controller has been shown to provide good performance in normal operations conditions. Objectives cannot be suitable unless the controller can perpetuate such quality in the presence of plant uncertainties or any working conditions in the hydroelectric power plants. The approach is based to synthesizing a robust controller minimizing a quadratic criterion (controller LQG) while using the Loop Transfer Recovery (LTR), to restore robustness properties of the Estimator. In this study, we applied this robust control law on the model of a Francis hydro turbine. Computer simulations are carried out to establish a n d compare the performance and robustness of using the Infinite horizon control ( H ), internal model control (IMC), Proportional Integral Derived (PID) and LQG/LTR controllers.