Abstract

An iterative closed-loop identification method is applied to obtain linear models of a power system for use in controller design. Two different probing levels are used for model identification to demonstrate both the underlying nonlinear nature of the power system and the effectiveness of using the closed-loop iterative identification method in the case of large probing inputs. The identified plant models contain non-minimum phase zeros, and controllers are designed using linear quadratic Gaussian theory with partial loop transfer recovery (LQG/LTR). Simulation results are presented to illustrate the robustness of the resulting controller to changes in operating point. >

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 call

Disclaimer: 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.