this paper presents fuzzy output tracking control of switching photovoltaic (PV) DC-DC converters. The proposed control ensures good performances and overall large-signal stability of the system over the whole operating space. To do this, we present a model of PV system and a state space model for DC-DC boost converter. Then, we introduce an added integral state of the output tracking error. The resulting augmented system is converted into a Takagi sugeno fuzzy model (TSFM). The Parallel distributed compensation (PDC) concept is employed to design the state-feedback based control law whereby the control gains are fined using the linear quadratic regulator (LQR) technique. Finally, the design procedures are applied to a dynamics model of typical PV power control system using a DC-DC boost converter to illustrate the effectiveness of the proposed control techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.