Energy extraction using maximum energy harvesting control as a refinement over maximum power point tracking on an energy harvesting backpack

Abstract

The growing need and desire for the harvesting of energy from everyday mechanical interactions impose a challenge on the current design of such systems. Often their nature indicates slow response times and unsteady AC voltages. The objective of this work is to present a new method of designing and controlling an oscillating energy harvesting system using a cutting-edge algorithm for fast determination of the optimal operating condition. In this thesis, an energy harvesting backpack, which captures energy from the interaction between the user and the spring decoupled load, is being introduced. The new control strategy, Maximum Energy Harvesting Control (MEHC), is developed and applied to the aforementioned system to evaluate its improvement over the basic Maximum Power Point Tracking (MPPT) algorithm. MEHC algorithm can also be used in many different applications, ranging from ocean wave to sports shoes energy harvesting.

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.

Thesis Completion

2007

Semester

Fall

Advisor

Batarseh, Issa

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Degree Program

Electrical Engineering

Subjects

Dissertations, Academic -- Engineering;Engineering -- Dissertations, Academic

Format

Print

Identifier

DP0022152

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

This document is currently not available here.

Share

COinS