A gear self-learning method for a knob shifter
A self-learning method, the technology of the gear shifter, is applied in the direction of components with teeth, transmission control, belt/chain/gear, etc. The effect of fitting and missing, improving accuracy
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Embodiment 1
[0040] like Figure 1 to 3 , The disclosure of the present invention is self-learning a gear shift knob's method, it applies the shifter knob works as follows: a gear position corresponding to each of the shifter knob are provided a shift angle range, the rotation angle value of the Hall sensor of the knob, the detected rotational angle value of the angle range for each gear position comparing the detected rotational angle value corresponding to the angular range where the gear is the gear shifter knob shift information output.
[0041]Said gear self-learning method for determining the exact angle range for each gear shift position of the shifter knob, based on PC, CAN cards, boards and manipulator embodiments, wherein said host computer through the control board of the manipulator, the manipulator such that rotation of the knob can be self-learning gear shift knob for controlling the gear shift, and the host computer capable of receiving the shift knob by the CAN card Hall sensor ...
Embodiment approach
[0062] The step S1, the measured values of the left dead angle X 0 And a right dead center angle value X m The method is:
[0063] Step S1.1, controlling the manipulator, at a preset fixed rotation torque of the knob of the shifter knob counterclockwise, until the Hall sensors to collect at the angle value is maintained within a predetermined length of time when the same angle value, the recording of the angle value, and this step is repeated a plurality of times S1.1;
[0064] Step S1.2, controlling the manipulator, at a preset fixed rotation of the torque knob shifter knob clockwise, until the sensors to collect the Hall angle is maintained at a value within a predetermined length of time when the same angle value, the recording of the angle value, and this step is repeated a plurality of times S1.2;
[0065] Step S1.3, when decreasing direction (V) of the Hall sensors to collect the value of the angle in the clockwise direction, the maximum value of said step S1.1 if the plur...
Embodiment 3
[0070] In the above-described first embodiment or the second embodiment based on the present third embodiment also adopts the following preferred embodiments:
[0071] In step S3, the preset value of the empty window angle α between 0.2 ° to 0.5 °.
[0072] Wherein, preferably: the preset value of the empty window angle α is 0.3 °.
[0073] In order to better illustrate the present invention, the gear Advanced self-learning method, it is a random selection of sample shifter knob (the shift knob's parameters such as the one exemplified above), respectively, using two self-learning method a background of the prior art gear self-learning method, namely: see Figure 4 , Only the self-learning the position of the P range, P range position and then as a reference to calculate the cumulative another gear position, a shift stroke, another gear of the present invention is self-learning method, to obtain two different gear angles range, and then compared with the actual gear angular range, p...
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