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When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (24 records) with 2024 (6) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 449 records in scope (CR5), not by the ranked leaders only.
This landscape tracks patent families filed for wind turbine control, yaw control and pitch control systems where the claims reference cut-in or cut-out wind speed, power curve management, load mitigation or individual pitch control. The search spans F03D7 (wind motor control), F03D80 and H02P9, capturing the mechanical and electrical control layers together rather than treating rotor mechanics and generator control as separate fields.
Coverage runs from 2015 through the 2026 data cut-off. Because publication lags filing by roughly eighteen months, the most recent one or two years in any trend chart will always understate real filing activity — treat the tail as a floor, not a ceiling.
Pick a task. Every answer cites the patents behind it.
449 patent families sit inside this search, spread across eight IPC subclasses and six primary receiving offices. The shape of both distributions matters more than any single count.
Filings rose to a peak of 40 in 2020, then eased toward a midpoint of 19 in 2022. The pattern reads as flat-to-declining rather than an emerging field still accelerating — most of the foundational claim space in cut-in/cut-out control and individual pitch was staked out in the back half of the 2010s.
F03D accounts for 439 of 449 records, confirming this is fundamentally a mechanical/aerodynamic control field. G05B (30), H02P (24) and G01P (14) show where the electronics and sensing layers attach — control-loop logic, motor/generator regulation and wind-speed sensing respectively — each a smaller but active adjacent claim surface.
Shares are the percentage of the 449 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about wind turbine control and yaw systems and every answer comes back with the patent numbers behind it.
Try EurekaA wind turbine comprising a rotor with plural blades and a controller arranged to independently control each blade — pitch and/or components such as slats and tabs — when wind speed or blade load rises above a cut-out threshold, to reduce mechanical load on the blades, tower or foundation. The same controller independently increases the driving moment of each blade below cut-in or rated wind speed, or during part-load operation, to maximise energy capture.Filed by VESTAS WIND SYSTEMS A/S, published 2011-10-12.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US7281891B2 | Wind turbine control having a lidar wind speed measurement apparatus | 193 |
| 2 | US20060140764A1 | Wind turbine control having a lidar wind speed measurement apparatus | 124 |
| 3 | US20150145253A1 | Wind turbine control and monitoring method using a wind speed estimation based on a lidar sensor | 74 |
| 4 | US20130045098A1 | Cyclic Pitch Control System for Wind Turbine Blades | 70 |
| 5 | WO2007104306A1 | A method and control system for reducing the fatigue loads in the components of a wind turbine subjected to a… | 68 |
| 6 | CN103573550A | 一种风力发电机组的控制方法与系统 | 49 |
| 7 | US20100061852A1 | Wind turbine blade pitch control system | 46 |
| 8 | US20180171979A1 | Methods and systems for generating wind turbine control schedules | 41 |
| 9 | US20110158805A1 | Pitch control system | 41 |
| 10 | US20160252075A1 | Methods and apparatus for controlling wind turbines | 40 |
Citation counts are drawn from a searched corpus and skew toward older filings by construction — read them as a signal of influence on subsequent filers, not as a ranking of current relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once volume, geography and citation weight are read together.
The two highest-cited records in this set both cover lidar-based wind speed measurement feeding turbine control, one cited 193 times and its earlier-published counterpart 124 times. That concentration of citations on a single sensing approach signals it became the reference point later filers had to design around or build on.
EPO receives more filings than the USPTO in this dataset (138 vs 115), with WIPO/PCT, China and India each in the twenties. For a company benchmarking freedom to operate, an EPO-only search would still miss a meaningful share of the global picture.
Filing peaked in 2020 and the 2022 midpoint of 19 already shows the decline underway. Combined with the eighteen-month publication lag, this points to a field where the foundational mechanical and control claims are largely staked, and new filings are more likely to be refinements than new architectures.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to wind turbine control and yaw systems, with the prior art for and against each one.
The ranking is dominated by established turbine OEMs, with co-filing activity clustered around named inventors at one Danish manufacturer. Recent-year momentum across the tracked assignees is flat — none show growth in the latest year, consistent with the plateau seen in the overall trend.
The leading assignee recorded 1 filing in the latest year and 0% year-over-year growth. Combined with its co-assignee pairs — each appearing twice with named individual inventors — this reads as a mature, maintained portfolio rather than an actively expanding one.
Every other major assignee in this set — spanning US, Spanish, Norwegian and Danish/Chinese entities — shows zero filings in the most recent tracked year. That is a lag artefact as much as a strategy signal, but it also means recent competitive positioning cannot be read from filing counts alone right now.
Only nine co-assignee pairs exist across the dataset, and the strongest ones link a single OEM to individually named inventors rather than to other corporate assignees. This is a field of in-house development, not joint-venture patenting.
| Assignee | Recent year | YoY |
|---|---|---|
| Vestas Wind Systems A/S | 1 | 0% |
| Gamesa Innovation & Technology, S.L. (Siemens Gamesa) | 0 | — |
| General Electric Company | 0 | — |
| Equinor Energy AS | 0 | — |
| GE Renewable Energy Spain, S.L. | 0 | — |
| Envision Energy (Denmark) ApS | 0 | — |
| Beijing Goldwind Science & Creation Wind Power Equipment Co., Ltd. | 0 | — |
| ACCIONA WINDPOWER | 0 | — |
The dataset points to a mature core with specific open edges. Two directions are worth pursuing depending on whether the goal is freedom-to-operate or new filing strategy.
The two most-cited records both cover lidar-based wind speed measurement feeding control loops. Any new sensing-linked control claim should be checked against this cluster specifically, not just against the general F03D class.
Explore lidar control claims in EurekaG01S, H02J and G06F each show single-digit-to-low-double-digit overlap with the core F03D class — control logic tied to radar/positioning, grid response and digital processing is thin relative to the mechanical core.
Run a white-space search in EurekaFiling in this space is concentrated among a small number of established turbine OEMs, led by a Danish manufacturer whose portfolio includes multiple co-assignee filings with named individual inventors. Several other large OEMs — spanning US, Spanish and Norwegian entities — appear in the ranking but show no filings in the most recent tracked year. This pattern is typical of a field where the foundational architecture is largely staked and the leading players are maintaining rather than rapidly expanding their claim positions.
Filings in this dataset rose to a peak of 40 in 2020 before easing toward 19 by the 2022 midpoint, which suggests the core mechanical and control-loop claims for cut-in/cut-out management and individual pitch control were largely filed in the back half of the 2010s. Publication lags filing by roughly eighteen months, so recent years will always look thinner than they eventually turn out to be. Even accounting for that lag, the trend reads as flat-to-declining rather than an accelerating field.
Individual pitch control lets a turbine adjust each blade's pitch angle independently rather than moving all blades together, which lets the controller counteract asymmetric loading caused by wind shear, yaw misalignment or turbulence across the rotor plane. It shows up heavily in this landscape because it directly addresses load mitigation, one of the core search terms, and because it sits at the intersection of the mechanical (F03D) and control-electronics (G05B, H02P) classes that dominate the dataset. Patents combining individual pitch control with lidar-based wind sensing are among the most-cited records in the set.
Europe, filed through the EPO, leads with 138 records, ahead of the United States at 115 and the WIPO/PCT route at 48. China and India each account for 24 records, with Austria (AT) close behind at 19. A search or freedom-to-operate check limited to the USPTO alone would miss a substantial share of the global filing activity in this field, particularly the EPO-heavy European OEM filings.
The core mechanical and control claims around cut-in/cut-out speed, power curve shaping and individual pitch are densely filed under F03D, but supporting IPC classes such as G01S (radar/positioning), H02J (grid/power supply integration) and G06F (digital processing) show much lower filing counts relative to the core. That gap points to under-claimed territory in sensor-fusion-driven yaw correction, grid-fault ride-through control tied to pitch systems, and digital-twin-based power curve estimation — areas where the mechanical foundation is settled but the control-software layer built on top of it is thinner.
Go past this page: query the whole wind turbine control and yaw systems corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.