Prosecution Insights
Last updated: April 19, 2026
Application No. 18/878,752

WIND TURBINE CONTROL TO MAXIMISE POWER PRODUCTION WITH A THRUST LIMIT

Non-Final OA §102
Filed
Dec 24, 2024
Examiner
ORTEGA, JOSEPH
Art Unit
2834
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
VESTAS WIND SYSTEMS A/S
OA Round
1 (Non-Final)
72%
Grant Probability
Favorable
1-2
OA Rounds
2y 1m
To Grant
88%
With Interview

Examiner Intelligence

Grants 72% — above average
72%
Career Allow Rate
300 granted / 415 resolved
+4.3% vs TC avg
Strong +16% interview lift
Without
With
+15.7%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 1m
Avg Prosecution
22 currently pending
Career history
437
Total Applications
across all art units

Statute-Specific Performance

§101
2.6%
-37.4% vs TC avg
§103
31.4%
-8.6% vs TC avg
§102
32.4%
-7.6% vs TC avg
§112
30.1%
-9.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 415 resolved cases

Office Action

§102
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. Claim Objections Claim 7 & 10 are objected to because the formulas in the claim have poor line quality. Appropriate correction is required. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-6, 8-9 & 11-16 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Koerber (US 8,803,352). Regarding Claim 1, Koerber a method of controlling [by 26] a wind turbine [10] having a rotor [18] and a plurality of pitch-adjustable rotor blades [22] mounted to the rotor [18] (FIG. 1, Abstract; The method further includes determining a tip speed ratio and a pitch angle), the method comprising: (a) receiving wind speed data [102] indicative of wind speed in the vicinity of the wind turbine (FIG. 4, Claim 1; calculating a desired generator speed value based on the current wind speed and the tip speed ratio); (b) retrieving a predefined power coefficient data structure [116] comprising values of a power coefficient as a function of a pitch angle [114] of the rotor blades and of a tip speed ratio [112] of the wind turbine (FIG. 4, Column 6, Lines 31-45; the step 110 of determining a tip speed ratio 112 and a pitch angle 114 that maximize a power coefficient 116 for the wind turbine 10. Tip speed ratio 112 may generally be calculated by multiplying the current rotational speed of the wind turbine 10 (such as the rotor 18 thereof) (measured by suitable sensors in the wind turbine 10) by the maximum radius of the rotor 18, and dividing this result by the wind speed 102. Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search); (c) retrieving a predefined thrust coefficient data structure [pre-established maximum thrust] comprising values of a thrust coefficient [thrust value] as a function of the pitch angle of the rotor blades and of the tip speed ratio of the wind turbine (FIG. 4; Claim 1; determining a tip speed ratio and a pitch angle that maximize a power coefficient under at least one of the following conditions: a thrust value is less than or equal to a pre-established maximum thrust); (d) determining a value of the pitch angle and a value of the tip speed ratio that maximises the power coefficient value in the predefined power coefficient data structure subject to a defined set of constraints, the set including a constraint that the thrust coefficient value in the predefined thrust coefficient data structure is no greater than a maximum threshold thrust coefficient value (Column 6, Lines 31-50; Tip speed ratio 112 may generally be calculated by multiplying the current rotational speed of the wind turbine 10 (such as the rotor 18 thereof) (measured by suitable sensors in the wind turbine 10) by the maximum radius of the rotor 18, and dividing this result by the wind speed 102. Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search); (e) determining a rotor speed reference based on the determined tip speed ratio value and on the received wind speed data (Column 6, Lines 31-50; Tip speed ratio 112 may generally be calculated by multiplying the current rotational speed of the wind turbine 10 (such as the rotor 18 thereof) (measured by suitable sensors in the wind turbine 10) by the maximum radius of the rotor 18, and dividing this result by the wind speed 102. Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search); (f) setting the determined pitch angle value as a pitch angle reference (Column 3, Lines 17-25; For example, the controller 26 may be configured to control the blade pitch or pitch angle of each of the rotor blades 22 (i.e., an angle that determines a perspective of the rotor blades 22 with respect to the direction 28 of the wind) to control the loading on the rotor blades 22 by adjusting an angular position of at least one rotor blade 22 relative to the wind); and, (g) controlling the wind turbine in accordance with the rotor speed reference and the pitch angle reference (Claim 1), (h) wherein determining the pitch angle and tip speed ratio values comprises applying an iterative search algorithm to the predefined power coefficient data structure to maximise the power coefficient value subject to the defined set of constraints (Column 6, Lines 31-50; Tip speed ratio 112 may generally be calculated by multiplying the current rotational speed of the wind turbine 10 (such as the rotor 18 thereof) (measured by suitable sensors in the wind turbine 10) by the maximum radius of the rotor 18, and dividing this result by the wind speed 102. Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 2, Koerber the method according to claim 1 [see rejected Claim 1], wherein applying the iterative search algorithm comprises: defining an initial evaluation point comprising an initial pitch angle value and an initial tip speed ratio value; determining a step size for each of the pitch angle and the tip speed ratio; determining an updated evaluation point comprising updated pitch angle and tip speed ratio values by shifting the initial pitch angle and tip speed ratio values by the respective step sizes; and, evaluating the power coefficient value at the updated evaluation point (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 3, Koerber the method according to claim 2 [see rejected Claim 2], wherein the iterative search algorithm comprises determining a difference between a maximum value of the power coefficient in the power coefficient data structure and the power coefficient value at the updated evaluation point, and wherein if the determined difference is less than a prescribed threshold difference value then the updated pitch angle and tip speed ratio values are determined to be the pitch angle and tip speed ratio values that maximise the power coefficient value (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 4, Koerber discloses the method according to claim 3 [see rejected Claim 3], wherein if the determined difference is greater than the prescribed threshold difference value then the iterative search algorithm comprises: determining a further step size for each of the pitch angle and the tip speed ratio; determining a further updated evaluation point comprising further updated pitch angle and tip speed ratio values by shifting the updated pitch angle and tip speed ratio values by the respective further step sizes; and, evaluating the power coefficient value at the further updated evaluation point (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 5, Koerber discloses the method according to claim 4 [see rejected Claim 4], comprising repeating the steps of determining the further step size, determining the further updated, evaluation point, and evaluating the power coefficient value, until a stop condition is satisfied, wherein the stop condition is that one of the following is satisfied: a determined difference between the a maximum value of the power coefficient in the power coefficient data structure and the power coefficient value at the further updated evaluation point is less than the prescribed threshold difference value; and, the steps have been repeated a prescribed number of iterations (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 6, Koerber discloses the method according to claim 4 [see rejected Claim 4], wherein the iterative search algorithm includes a gradient-based step method, wherein the step size for pitch angle is determined based on a determined gradient of the thrust coefficient at the updated pitch angle value in the thrust coefficient data structure, and wherein the step size for tip speed ratio is determined based on a determined gradient of the power coefficient at the updated tip speed ratio value in the thrust coefficient data structure (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 7, Koerber discloses the method according to claim 1 [see rejected Claim 1], wherein the iterative search algorithm includes a one-step descent method, wherein the step size for pitch angle is determined as the difference between the pitch angle value that maximises the power coefficient value and the initial pitch angle value, and wherein the step size for tip speed ratio is determined as the difference between the tip speed ratio value that maximises the power coefficient value and the initial tip speed ratio value (Column 6; Lines 31- 50; Such determination of a tip speed ratio 112 and a pitch angle 114 that maximize the power coefficient 116 for the wind turbine 10 is generally performed through use of an optimizing algorithm or an iterative search). Regarding Claim 9, Koerber discloses the method according to claim 1 [see rejected Claim 1], wherein implementing the thrust coefficient value constraint comprises reducing a feasible solution space of the power coefficient data structure for the iterative search algorithm to remove combinations of pitch angle and tip speed ratio values corresponding to values of the thrust coefficient greater than the maximum threshold thrust coefficient value in the thrust coefficient data structure (Column 6; Lines 31- 50; optimizing algorithm). Regarding Claim 11, Koerber discloses the method according to claim1 [see rejected Claim 1], wherein the defined set of constraints includes a constraint that a generator speed of a generator of the wind turbine is no greater than a maximum threshold generator speed value, the maximum threshold generator speed value being determined based on the received wind speed data (such determination may in some embodiments be performed within the constraints of the various pre-established maximum values previously established for the wind turbine 10. For example, in exemplary embodiments, the step 110 of determining the tip speed ratio 112 and the pitch angle 114 that maximize the power coefficient is performed under the condition 120 that a thrust value be less than or equal to the pre-established maximum thrust 104, the condition 122 that a generator speed value be less than or equal to the pre-established maximum generator speed 106, and/or the condition 124 that a generator torque be less than or equal to a pre-established maximum generator torque 108). Regarding Claim 12, Koerber discloses the method according to claim1 [see rejected Claim 1], wherein the defined set of constraints includes a constraint that the determined pitch angle and tip speed ratio values do not cause one or both of: a stall condition of the wind turbine; and, instability of the rotor blades of the wind turbine (Column 6, Lines 31-65; such determination may in some embodiments be performed within the constraints of the various pre-established maximum values previously established for the wind turbine 10. For example, in exemplary embodiments, the step 110 of determining the tip speed ratio 112 and the pitch angle 114 that maximize the power coefficient is performed under the condition 120 that a thrust value be less than or equal to the pre-established maximum thrust 104, the condition 122 that a generator speed value be less than or equal to the pre-established maximum generator speed 106, and/or the condition 124 that a generator torque be less than or equal to a pre-established maximum generator torque 108). Regarding Claim 13, Koerber discloses the method according to claim 1 [see rejected Claim 1], the method comprising: receiving blade load data indicative of loading experienced by the rotor blades from one or more blade load sensors [sensor operable to determine the current wind speed] of the wind turbine; determining, based on the received blade load data, a statistical dispersion parameter indicative of temporal variation in the blade loading; and defining the maximum threshold thrust level based on the determined statistical dispersion parameter (Claim 18, Column 6, Lines 31-65; such determination may in some embodiments be performed within the constraints of the various pre-established maximum values previously established for the wind turbine 10. For example, in exemplary embodiments, the step 110 of determining the tip speed ratio 112 and the pitch angle 114 that maximize the power coefficient is performed under the condition 120 that a thrust value be less than or equal to the pre-established maximum thrust 104, the condition 122 that a generator speed value be less than or equal to the pre-established maximum generator speed 106, and/or the condition 124 that a generator torque be less than or equal to a pre-established maximum generator torque 108). Regarding Claim 14, Koerber discloses a controller [26] for a wind turbine [10] having a rotor [18] and a plurality of pitch- adjustable rotor blades [34] mounted to the rotor [18], the controller [26] (FIG. 1, also refer to rejected Claim 1) being configured to: receive wind speed data indicative of wind speed in the vicinity of the wind turbine (see rejected Claim 1 element “a”); retrieve a predefined power coefficient data structure comprising values of a power coefficient as a function of a pitch angle of the rotor blades and of a tip speed ratio of the wind turbine (see rejected Claim 1 element “b”); retrieve a predefined thrust coefficient data structure comprising values of a thrust coefficient as a function of the pitch angle of the rotor blades and of the tip speed ratio of the wind turbine (see rejected Claim 1 element “c”); determine a value of the pitch angle and a value of the tip speed ratio that maximises the power coefficient value in the predefined power coefficient data structure subject to a defined set of constraints, the set including that the thrust coefficient value in the predefined thrust coefficient data structure is no greater than a maximum threshold thrust value (see rejected Claim 1 element “d”); determine a rotor speed reference based on the determined tip speed ratio value and on the received wind speed data (see rejected Claim 1 element “e”); set a pitch angle reference based on the determined pitch angle value (see rejected Claim 1 element “f”); and, output a control signal to control the wind turbine in accordance with the rotor speed reference and the pitch angle reference (“g”), wherein determining the pitch angle and tip speed ratio values comprises applying an iterative search algorithm to the predefined power coefficient data structure to maximise the power coefficient value subject to the defined set of constraints (see rejected Claim 1 element “h”). Regarding Claim 15, Koerber discloses the wind turbine comprising a controller [26] according to claim 14 (see rejected Claim 14). Regarding Claim 16, Koerber discloses a wind turbine [10] (FIG. 1), comprising: a tower [12] (FIG. 1); a nacelle [16] disposed on the tower [12] (FIG. 1); a rotor [18] extending from the nacelle [16] and having a plurality of pitch-adjustable rotor blades [34] (FIG. 1) disposed on a distal end thereof; and a controller [26] (FIG. 1) configured to: receive wind speed data indicative of wind speed in the vicinity of the wind turbine (see rejected Claim 1, element “a”); retrieve a predefined power coefficient data structure comprising values of a power coefficient as a function of a pitch angle of the rotor blades and of a tip speed ratio of the wind turbine (see rejected Claim 1, element “b”); retrieve a predefined thrust coefficient data structure comprising values of a thrust coefficient as a function of the pitch angle of the rotor blades and of the tip speed ratio of the wind turbine (see rejected Claim 1, element “c”); determine a value of the pitch angle and a value of the tip speed ratio that maximises the power coefficient value in the predefined power coefficient data structure subject to a defined set of constraints, the set including that the thrust coefficient value in the predefined thrust coefficient data structure is no greater than a maximum threshold thrust value (see rejected Claim 1, element “d”); determine a rotor speed reference based on the determined tip speed ratio value and on the received wind speed data (see rejected Claim 1, element “e”); set a pitch angle reference based on the determined pitch angle value (see rejected Claim 1, element “f”); and, output a control signal to control the wind turbine in accordance with the rotor speed reference and the pitch angle reference, wherein determining the pitch angle and tip speed ratio values comprises applying an iterative search algorithm to the predefined power coefficient data structure to maximise the power coefficient value subject to the defined set of constraints (see rejected Claim 1, element “g”). Allowable Subject Matter Claims 7 & 10 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOSEPH ORTEGA whose telephone number is (469)295-9083. The examiner can normally be reached M-F 8 AM - 5 PM. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, TULSIDAS C. PATEL can be reached at (571)272-2098. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /JOSEPH ORTEGA/Primary Examiner, Art Unit 2834
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Prosecution Timeline

Dec 24, 2024
Application Filed
Jan 23, 2026
Non-Final Rejection — §102 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
72%
Grant Probability
88%
With Interview (+15.7%)
2y 1m
Median Time to Grant
Low
PTA Risk
Based on 415 resolved cases by this examiner. Grant probability derived from career allow rate.

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