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Lyapunov-based Switched Extremum Seeking for Photovoltaic Power Maximization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Moura, Scott J. Chang, Yiyao A. |
| Copyright Year | 2013 |
| Abstract | This paper presents a practical variation of extremum seeking (ES) that guarantees asymptotic convergence through a Lyapunov-based switching scheme (Lyap-ES). Traditional ES methods enter a limit cycle around the optimum. Lyap-ES converges to the optimum by exponentially decaying the perturbation signal once the system enters a neighborhood around the extremum. As a case study, we consider maximum power point tracking (MPPT) for photovoltaics. Simulation results demonstrate how Lyap-ES is self-optimizing in the presence of varying environmental conditions and produces greater energy conversion efficiencies than traditional MPPT methods. Experimentally measured environmental data is applied to investigate performance under realistic operating scenarios. & 2013 Elsevier Ltd. All rights reserved. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ecal.berkeley.edu/pubs/CEP-LyapES.pdf |
| Alternate Webpage(s) | http://flyingv.ucsd.edu/smoura/pubs/LyapES-R1a.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Appendix Approximation algorithm Calibration Controllers Convergence (action) Effective method Efficiency Expectation–maximization algorithm Experiment Feedback Goodyear MPP Gradient Information seeking behavior Limit cycle Low-pass filter Lyapunov fractal MPZ gene Maxima and minima Maximum power transfer theorem Nonlinear system Numerical stability Penicillin V Perturbation theory Population Parameter Published Comment Simulation Vergence |
| Content Type | Text |
| Resource Type | Article |
