Damping wind turbine tower oscillations using gyroscopic forces
US-9347431-B2 · May 24, 2016 · US
Method for the identification of the drive train main frequency in a wind turbine
US9273671B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9273671-B2 |
| Application number | US-201213532987-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 26, 2012 |
| Priority date | Jun 28, 2011 |
| Publication date | Mar 1, 2016 |
| Grant date | Mar 1, 2016 |
How to read this patent
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
- Title
What the patent document calls the invention.
- Abstract
A short plain-language summary of the technical disclosure.
- Assignees and inventors
Who owns or filed the patent and who is credited as inventor.
- Key dates
Filing, priority, publication, and grant dates set the timeline.
- First independent claim
The legal scope of protection — read this for what is actually claimed.
- CPC / IPC classifications
Technology tags used to group this patent with similar filings.
- Citations and related patents
Prior art links and similar publications in this corpus.
Abstract
Official abstract text for this publication.
Method for the identification in operation of the drive train main vibration frequency of a wind turbine, comprising online steps of: a) obtaining a input signal (r) of the generator speed (Ω); b) filtering the generator speed input signal (r) for obtaining a generator speed signal (r 1 ) in a suitable band for representing the oscillating signal (o) comprised in the input signal (r) of the generator speed (Ω); c) extracting the drive train main vibration frequency (f) from said filtered signal (r 1 ). The invention also comprise a method of damping the drive train vibrations of a wind turbine comprising steps of setting the generator torque reference (Tr ref ) as a function of the generator speed (Ω) and of the drive train main vibration frequency (f) identified by the above mentioned method and wind turbine control system implementing said damping method.
First claim
Opening claim text (preview).
The invention claimed is: 1. A method for the identification in operation of the drive train main vibration frequency (f) of a wind turbine, comprising online steps of: a) obtaining an input signal (r) of a generator speed (Ω); b) filtering the input signal (r) to obtain a generator speed signal (r 1 ) in a suitable band for representing an oscillating signal (o) comprised in the input signal (r), wherein the suitable band is a better band, among a predetermined number of bands,…
Assignees
Inventors
Classifications
Mechanical Engineering · mapped topic
Cross-Sectional Technologies · mapped topic
Mechanical Engineering · mapped topic
- F03D7/0296Primary
Mechanical Engineering · mapped topic
Cross-Sectional Technologies · mapped topic
Patent family
Related publications grouped by family.
External sources
Next steps
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US9273671B2 cover?
- Method for the identification in operation of the drive train main vibration frequency of a wind turbine, comprising online steps of: a) obtaining a input signal (r) of the generator speed (Ω); b) filtering the generator speed input signal (r) for obtaining a generator speed signal (r 1 ) in a suitable band for representing the oscillating signal (o) comprised in the input signal (r) of the gen…
- Who is the assignee on this patent?
- Hernandez Mascarell Octavio, Suarez Aizpun Jaime, Gruber Jorn Klaas, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification F03D7/0296. Mapped technology areas include Mechanical Engineering.
- When was this patent published?
- Publication date Tue Mar 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).