contributor author | Kehs, Michelle A. | |
contributor author | Fathy, Hosam K. | |
date accessioned | 2019-03-17T09:45:26Z | |
date available | 2019-03-17T09:45:26Z | |
date copyright | 9/26/2018 12:00:00 AM | |
date issued | 2019 | |
identifier issn | 0022-0434 | |
identifier other | ds_141_01_011011.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4255664 | |
description abstract | This paper presents an extremum seeking controller for photovoltaic maximum power point tracking (MPPT). The controller belongs to the broad family of “perturb and observe” algorithms, where the terminal voltage of a photovoltaic system is adjusted to maximize its output power. One critical challenge with these algorithms is that it can be difficult to distinguish between changes in photovoltaic power resulting from changes in irradiation versus the control input. With regard to this challenge, we develop an extremum seeking algorithm that uses least-squares estimation to explicitly separate the effect of the control input from the effect of time-varying disturbances. While the use of least-squares estimation in the context of extremum seeking is not new, our separation of time-varying effects is. In addition, our formulation retains much of the structure of traditional extremum seeking, thereby allowing us to perform a stability analysis comparable to the existing literature. This stability analysis assumes the time-varying disturbance to be slow, but we test the controller beyond this limit in simulation for photovoltaic MPPT. We compare our controller to two benchmarks (a similar controller that does not separate time-varying effects and a traditional extremum seeking controller), and our controller outperforms both. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Extremum Seeking for Plants With a Time-Varying Disturbance: Application to Photovoltaic Maximum Power Point Tracking | |
type | Journal Paper | |
journal volume | 141 | |
journal issue | 1 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4041297 | |
journal fristpage | 11011 | |
journal lastpage | 011011-10 | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 001 | |
contenttype | Fulltext | |