High fidelity dynamic modeling and control of power regenerative hydrostatic wind turbine test platform

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Conventional wind turbines are equipped with multi-stage fixed-ratio gearboxes to transmit power from the low speed rotor to the high speed generator. Gearbox failure is a major issue causing high maintenance costs. With a superior power to weight ratio, a hydrostatic transmission (HST) is an ideal candidate for a wind turbine drivetrain. HST, a continuous variable transmission, has the advantage of delivering high power with a fast and accurate response. To evaluate the performance of the HST wind turbine, a power regenerative hydrostatic wind turbine test platform has been developed. A hydraulic power source is used to emulate the dynamics of the turbine rotor. The test platform is an effective tools to validate the control strategies of the HST wind turbine. This paper presents the high fidelity mathematical model of the test platform. The parameters of the dynamic equations are identified by the experiments. The steady state and transient operations results are compared with the experimental data. The detailed control architecture of the start-up and shut-down cycle is described for the test platform.

Original languageEnglish (US)
Title of host publicationBATH/ASME 2018 Symposium on Fluid Power and Motion Control, FPMC 2018
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851968
DOIs
StatePublished - 2018
Externally publishedYes
EventBATH/ASME 2018 Symposium on Fluid Power and Motion Control, FPMC 2018 - Bath, United Kingdom
Duration: Sep 12 2018Sep 14 2018

Publication series

NameBATH/ASME 2018 Symposium on Fluid Power and Motion Control, FPMC 2018

Other

OtherBATH/ASME 2018 Symposium on Fluid Power and Motion Control, FPMC 2018
Country/TerritoryUnited Kingdom
CityBath
Period9/12/189/14/18

Bibliographical note

Funding Information:
This project is funded by the National Science Foundation under grant 1634396. We also thank Eaton, Linde, Danfoss, Bosch Rexroth, Flo-tech and ExxonMobil for donating the components for the test bed. We are thankful to our other graduate students in our lab for helping us in setting up the experiments.

Publisher Copyright:
Copyright © 2018 ASME.

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