Automatic calibration system for header height controller with operator feedback
Method of calibrating a header height controller responsive to signal outputs from a plurality of height sensors mounted to a header, the signal outputs are variable in magnitude with respect to changes in height of the header relative to a surface. The methods automatically and accurately calibrate header control systems to eliminate the need for manual calibration and provides feedback to the operator to ensure the quality of the calibration and to assist the operator in identify potential problems with sensors or header setup which could affect the operation and performance.
1. A method of calibrating a header height controller, the header height controller comprising processing circuitry capable of receiving output signals from a plurality of height sensors mounted to a header, the output signals variable in magnitude with respect to changes in height of the header relative to a surface, the header height controller responsive to the output signals from the plurality of height sensors, the method comprising the steps of:
moving the header through a range of motion relative to the surface;
as the header moves through the range of motion, receiving and storing at predetermined sampling intervals the output signal magnitudes for each of the plurality of height sensors;
defining a Set Point C Magnitude (“SPCM”) for each of the plurality of height sensors, wherein the SPCM is the magnitude of the output signal when the header is at an elevation in the range of motion where a last appreciable change occurs in the output signal magnitudes between one of the sampling intervals and a preceding one of the sampling intervals;
defining a Set Point A Magnitude (“SPAM”) for each of the plurality of height sensors, wherein the SPAM is the magnitude of the output signal at a predetermined elevation in the range of motion above the elevation corresponding to the SPCM.
2. The method of claim 1 wherein the SPAM is defined by the sampling interval where a first appreciable change occurs in the output signal magnitudes between one of the sampling intervals and a preceding one of the sampling intervals.
3. The method of claim 1 wherein the SPCM is defined by a position sensor associated with movement of a supporting element of the header, whereby when the position sensor identifies when the header is at a bottom of the range of motion, the output signal magnitudes of each of the plurality of heights sensors are stored.
4. The method of claim 1 , further comprising the step of:
defining a Set Point B Magnitude (“SPBM”) for each of the plurality of height sensors, wherein the SPBM is the magnitude of the output signal at the sampling interval where a first appreciable deviation occurs in a rate of change of the output signal magnitudes between the SPAM and SPCM.
5. The method of claim 4 , further comprising the step of:
applying a gain value to substantially linearize the rate of change of the output signal magnitudes between the SPBM and the SPCM with the rate of change of the output signal magnitudes between the SPBM and the SPAM.
6. The method of claim 1 , wherein the header is moved through the range of motion at a substantially constant rate and the predetermined sampling intervals are time intervals.
7. The method of claim 1 , wherein the predetermined sampling intervals are incremental changes in signal magnitude of a position sensor associated with movement of a supporting element of the header.
8. The method of claim 6 , wherein each of the output signal magnitudes of each of the plurality of height sensors is time stamped as the header moves through the range of motion.
9. The method of claim 7 , wherein each of the output signal magnitudes of each of the plurality of height sensors is associated with the corresponding incremental changes in signal magnitude of the position sensor.
10. The method of claim 1 further comprising the step of:
identifying anomalies between the output signal magnitudes across the plurality of height sensors at predefined points of the sampling intervals.
11. The method of claim 4 further comprising the step of:
identifying anomalies between the output signal magnitudes across the plurality of height sensors at predefined points of the sampling intervals.
12. The method of claim 10 further comprising the step of:
characterizing expected performance of the header height controller under operating conditions based on the anomalies.
13. The method of claim 11 further comprising the step of:
characterizing expected performance of the header height controller under operating conditions based on the anomalies.
14. The method of claim 12 wherein the predefined points of the sampling intervals correspond to the sampling intervals at the SPAM and SPCM.
15. The method of claim 13 , wherein the predefined points of the sampling intervals correspond to the sampling intervals at the SPAM, SPBM and SPCM.
16. The method of claim 14 , wherein the anomalies include discrepancies between values of SPAM and SPCM of the outermost ones of the plurality of height sensors.
17. The method of claim 14 , wherein the anomalies include discrepancies between values of SPAM and SPCM across the plurality of height sensors.
18. The method of claim 15 , wherein the anomalies include discrepancies between values of SPAM, SPBM and SPCM across the plurality of height sensors.
19. The method of claim 12 wherein the characterization of the expected performance of the header height controller includes a calibration score.
20. The method of claim 19 wherein the calibration score is based on scoring factors of predefined relative importance attributed to differences in the output signal magnitudes and expected signal magnitudes of the plurality of height sensors.
21. The method of claim 13 wherein the characterization of the expected performance of the header height controller includes a calibration score.
22. The method of claim 21 wherein the calibration score is based on scoring factors of predefined relative importance attributed to differences in the output signal magnitudes and expected signal magnitudes of the plurality of height sensors.
23. The method of claim 10 further comprising the step of:
displaying recommendations viewable to an operator based on the identified anomalies.
24. The method of claim 11 further comprising the step of:
displaying recommendations viewable to an operator based on the identified anomalies.
25. The method of claim 12 further comprising the step of:
displaying recommendations viewable to an operator based on the characterized expected performance of the header height controller.
26. The method of claim 13 further comprising the step of:
displaying recommendations viewable to an operator based on the characterized expected performance of the header height controller.
27. The method of claim 19 further comprising the step of:
displaying recommendations viewable to an operator based on the calibration score.
28. The method of claim 23 , wherein the recommendations include characterizations of the surface.
29. The method of claim 23 , wherein the recommendations include identifying if elements of the header are improperly positioned.
30. The method of claim 23 , wherein the recommendations include identifying if one of the plurality of height sensors needs attention.
31. The method of claim 21 further comprising the step of:
displaying recommendations viewable to an operator based on the calibration score.
32. The method of claim 24 , wherein the recommendations include characterizations of the surface.
33. The method of claim 24 , wherein the recommendations include identifying if elements of the header are improperly positioned.
34. The method of claim 24 , wherein the recommendations include identifying if one of the plurality of height sensors needs attention.
35. A method of calibrating a header height controller, the header height controller comprising processing circuitry capable of receiving output signals from a plurality of height sensors mounted to a header, the output signals variable in magnitude with respect to changes in height of the header relative to a surface, the header height controller responsive to the output signals from the plurality of height sensors, the method comprising the steps of:
moving the header through a range of motion between a raised position in which the header is at an elevation above the surface where no portion of the header is in contact with the surface and a lowered position in which the header is in contact with the surface;
as the header moves through the range of motion, receiving and storing at predetermined sampling intervals the output signal magnitudes for each of the plurality of height sensors;
defining a Set Point B Magnitude (“SPBM”) for each of the plurality of height sensors, wherein the SPBM is the magnitude of the output signal at an elevation in the range of motion where a first appreciable deviation occurs in a rate of change of the output signal magnitudes between one of the sampling intervals and a preceding one of the sampling intervals.
36. The method of claim 35 further including:
defining a Set Point C Magnitude (“SPCM”) for each of the plurality of height sensors, wherein the SPCM is the magnitude of the output signal in which the header is at an elevation in the range of motion below the elevation corresponding to the SPBM;
defining a Set Point A Magnitude (“SPAM”) for each of the plurality of height sensors, wherein the SPAM is the magnitude of the output signal in which the header is at an elevation in the range of motion above the elevation corresponding to the SPBM.
37. The method of claim 36 , further comprising the step of:
applying a gain value to substantially linearize the rate of change of the output signal magnitudes between the SPBM and the SPCM with the rate of change of the output signal magnitudes between the SPBM and the SPAM.
38. The method of claim 35 , wherein the header is moved through the range of motion at a substantially constant rate and the predetermined sampling intervals are time intervals.
39. The method of claim 35 , wherein the predetermined sampling intervals are incremental changes in signal magnitude of a position sensor associated with movement of a supporting element of the header.
40. The method of claim 38 , wherein each of the output signal magnitudes of each of the plurality of height sensors is time stamped as the header moves through the range of motion.
41. The method of claim 39 , wherein each of the output signal magnitudes of each of the plurality of height sensors is associated with the corresponding incremental changes in signal magnitude of the position sensor.
42. The method of claim 36 further comprising the step of:
identifying anomalies between the output signal magnitudes across the plurality of height sensors at predefined points of the sampling intervals.
43. The method of claim 42 further comprising the step of:
characterizing expected performance of the header height controller under operating conditions based on the anomalies.
44. The method of claim 42 , wherein the predefined points of the sampling intervals correspond to the sampling intervals at the SPAM, SPBM and SPCM.
45. The method of claim 44 , wherein the anomalies include discrepancies between values of SPAM and SPCM of the outermost ones of the plurality of height sensors.
46. The method of claim 44 , wherein the anomalies include discrepancies between values of SPAM and SPCM across the plurality of height sensors.
47. The method of claim 44 , wherein the anomalies include discrepancies between values of SPAM, SPBM and SPCM across the plurality of height sensors.
48. The method of claim 43 wherein the characterization of the expected performance of the header height controller includes a calibration score.
49. The method of claim 48 wherein the calibration score is based on scoring factors of predefined relative importance attributed to differences in the output signal magnitudes and expected signal magnitudes of the plurality of height sensors.
50. The method of claim 42 further comprising the step of:
displaying recommendations viewable to an operator based on the identified anomalies.
51. The method of claim 43 further comprising the step of:
displaying recommendations viewable to an operator based on the characterized expected performance of the header height controller.
52. The method of claim 48 further comprising the step of:
displaying recommendations viewable to an operator based on the calibration score.
53. The method of claim 50 , wherein the recommendations include characterizations of the surface.
54. The method of claim 51 , wherein the recommendations include identifying if elements of the header are improperly positioned.
55. The method of claim 52 , wherein the recommendations include identifying if one of the plurality of height sensors needs attention.