IP Library › Granted Patent US 12,188,207
Granted Patent B2
US 12,188,207 · App. 17/193,013 · Granted Jan 7, 2025

System and method for terrain based control of self-propelled work vehicles

Inventors: Madeline T. Oglesby (Asbury, IA); Dipankar D. Dongare (Dombivali, IN); Dnyaneshwar J. Jagtap (Dhule, IN); Rushikesh R. Jadhav (Parbhani, IN); Tejal Bhardwaj (Kharar, IN); Jeremiah Wickersheim (Dubuque, IA); Giovanni A. Wuisan (Epworth, IA); Todd F. Velde (Dubuque, IA)
Assignee: Deere &Company
E02F9/262E02F3/439E02F9/2087E02F9/265
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Quick Facts
Patent No.
US 12,188,207
App. No.
17/193,013
Granted
Jan 7, 2025
Kind
B2
Abstract

A terrain-based travel assist system and method are provided for stability control in a self-propelled work vehicle such as an excavator comprising ground engaging units and at least one work implement configured for controllably working terrain. Upon selecting or determining a travel mode for the work vehicle, the respective predetermined target positions and/or operations of the at least one work implement are retrieved from data storage, corresponding to the determined travel mode. Feedback signals are received from sensors corresponding to respective current positions and/or operations of the at least one implement, and in some embodiments to a vehicle speed. Control signals are generated for automatically controlling the at least one work implement to the respective predetermined target positions and/or through the respective operations, responsive to the determined travel mode and the received feedback signals.

Claims (29)

1. A method of stability control for a self-propelled work vehicle comprising a plurality of ground engaging units and at least one work implement, wherein the at least one work implement comprises a boom assembly having a first end pivotally coupled to a main frame of the work vehicle and a working tool at a second end configured for controllably working terrain, the method comprising:

receiving first feedback signals from one or more sensors, the first feedback signals corresponding to respective current positions and/or operations of the at least one implement;

determining a travel mode as corresponding to a predicted work vehicle grade based on second feedback signals from one or more further sensors, wherein the one or more further sensors comprising at least one of imaging sensors, ultrasonic sensors, and/or optical sensors, and wherein the second feedback signals correspond to sensed terrain features in a traveling direction for the work vehicle;

retrieving from data storage at least respective predetermined target positions of the working tool and associated operations of the at least one work implement, corresponding to the determined travel mode for the self-propelled work vehicle; and

generating one or more control signals for automatically controlling the at least one work implement to the respective predetermined target positions and through the respective operations, responsive to at least the received first feedback signals.

2. The method of claim 1 , wherein the determined travel mode corresponds to a direction and/or amount of slope for terrain upon which the work vehicle travels.

3. The method of claim 1 , further comprising enabling manual dismissal of the automatic control during the determined travel mode via a user interface.

4. The method of claim 3 , wherein the travel mode is determined in accordance with manual user selection from among a plurality of travel modes via the user interface.

5. The method of claim 1 , further comprising receiving feedback signals corresponding to travel direction and/or speed commands for the self-propelled work vehicle during the determined travel mode.

6. The method of claim 5 , further comprising:

generating the one or more control signals for controlling the at least one work implement to the respective predetermined target positions and/or through the respective operations, responsive to the determined travel mode, the received first feedback signals corresponding to respective current positions and operations of the at least one implement, and the received feedback signals corresponding to the travel direction and/or speed commands.

7. The method of claim 5 , further comprising:

generating one or more control signals for controlling the work vehicle speed during the determined travel mode, responsive to at least the predetermined target positions and operations of the at least one work implement and the received first feedback signals corresponding to respective current positions and operations of the at least one implement.

8. The method of claim 7 , wherein the work vehicle is directed to stop during at least one required operation of the at least one implement during a determined travel mode, and to move forward only while the at least one implement is maintained in a predetermined position during the determined travel mode.

9. A self-propelled work vehicle comprising:

a plurality of ground engaging units supporting a vehicle chassis;

at least one work implement, wherein the at least one work implement comprises a boom assembly having a first end supported by and pivotally coupled to the vehicle chassis and a working tool at a second end configured for controllably working terrain;

one or more sensors configured to provide first feedback signals corresponding to respective current positions and/or operations of the at least one implement;

one or more further sensors configured to provide second feedback signals corresponding to sensed terrain features in a traveling direction for the work vehicle, wherein the one or more further sensors comprise at least one of imaging sensors, ultrasonic sensors, and/or optical sensors;

data storage having stored therein at least respective predetermined target positions of the working tool and associated operations of the at least one work implement corresponding to each of a plurality of travel modes for the self-propelled work vehicle, the travel modes corresponding to a predicted work vehicle grade, responsive to at least the received second feedback signals; and

a controller configured, for a determined travel mode, to generate one or more control signals for automatically controlling the at least one work implement to the respective predetermined target positions and through the respective operations, responsive to at least the received first feedback signals.

10. The self-propelled work vehicle of claim 9 , wherein the controller is further configured to receive feedback signals corresponding to travel direction and/or speed commands for the self-propelled work vehicle during the determined travel mode.

11. The self-propelled work vehicle of claim 10 , wherein the controller is further configured to generate the one or more control signals for controlling the at least one work implement to the respective predetermined target positions and/or through the respective operations, responsive to the determined travel mode, the received first feedback signals corresponding to respective current positions and operations of the at least one implement, and the received feedback signals corresponding to the travel direction and/or speed commands.

12. The self-propelled work vehicle of claim 10 , wherein the controller is further configured to generate the one or more control signals for controlling the work vehicle speed during the determined travel mode, responsive to at least the predetermined target positions and/or operations of the at least one work implement and the received first feedback signals corresponding to respective current positions and operations of the at least one implement.

13. The self-propelled work vehicle of claim 12 , wherein the work vehicle is directed to stop during at least one required operation of the at least one implement during a determined travel mode, and to move forward only while the at least one implement is maintained in a predetermined position during the determined travel mode.

14. The self-propelled work vehicle of claim 9 , wherein manual dismissal of the automatic control is enabled during the determined travel mode via a user interface.

15. The self-propelled work vehicle of claim 14 , wherein the travel mode is determined in accordance with manual user selection from among a plurality of travel modes via the user interface.

16. The self-propelled work vehicle of claim 9 , wherein the determined travel mode corresponds to a direction and/or amount of slope for terrain upon which the work vehicle travels.

17. The self-propelled work vehicle of claim 9 , wherein the controller is further configured to automatically determine the travel mode based on feedback signals corresponding to a predicted work vehicle grade.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 5, 2021
From: OGLESBY, MADELINE T.; DONGARE, DIPANKAR D.; JAGTAP, DNYANESHWAR J.; JADHAV, RUSHIKESH R.; BHARDWAJ, TEJAL; WICKERSHEIM, JEREMIAH; WUISAN, GIOVANNI A.; VELDE, TODD F.
To: DEERE & COMPANY
Reel/Frame 055504/0191 →
Continuity (1)
Related Publication 20220282460A1 · Sep 8, 2022
References Cited (28)
US 4953723A · Saotome · 1990 [cited by examiner]
US 6305763B1 · Oertley · 2001 [cited by applicant]
US 6609315B1 · Hendron et al. · 2003 [cited by applicant]
US 7949449B2 · Koch et al. · 2011 [cited by applicant]
US 11577796B2 · Jagtap et al. · 2023 [cited by applicant]
US 20050065689A1 · Budde · 2005 [cited by examiner]
US 20080262682A1 · Bergsten · 2008 [cited by applicant]
US 20150308078A1 · Lee · 2015 [cited by examiner]
US 20160153175A1 · Wei · 2016 [cited by examiner]
US 20170037593A1 · Naik et al. · 2017 [cited by applicant]
US 20170081826A1 · Ferracin · 2017 [cited by examiner]
US 20190017248A1 · Okada · 2019 [cited by examiner]
US 20190264419A1 · Myers et al. · 2019 [cited by applicant]
US 20190285093A1 · Muraoka et al. · 2019 [cited by applicant]
US 20200063401A1 · Sherlock · 2020 [cited by examiner]
US 20210087794A1 · Yamamoto · 2021 [cited by examiner]
CN 108331062A · 2018 [cited by examiner]
DE 102019202654A1 · 2019 [cited by applicant]
DE 102019211246A1 · 2020 [cited by applicant]
EP 2578757A1 · 2013 [cited by applicant]
EP 3521520A1 · 2019 [cited by applicant]
EP 3575501A1 · 2019 [cited by applicant]
JP 2020051066A · 2020 [cited by examiner]
KR 1020160144707 · 2016 [cited by examiner]
KR 2016144707A · 2016 [cited by examiner]
WO 2014166331A1 · 2014 [cited by applicant]
WO 2018021321A1 · 2018 [cited by applicant]
German Search Report issued in application No. DE102022200684.4 dated Oct. 27, 2022 (06 pages). [cited by applicant]