Self-learning control method and system for gear position of gearbox

文档序号:1532385 发布日期:2020-02-14 浏览:15次 中文

阅读说明:本技术 一种变速箱挡位位置自学习控制方法及系统 (Self-learning control method and system for gear position of gearbox ) 是由 王烁 于 2018-08-02 设计创作,主要内容包括:本发明涉及一种变速箱挡位位置自学习控制方法及系统,包括如下步骤:1)控制选挡电机驱动换挡指向待学习挡位方向移动,当所述选挡电机出现堵转时,记录所述换挡指当前位置;2)控制选挡电机驱动换挡指从当前位置向远离所述待学习挡位方向移动设定的小段距离;移动设定的小段距离后继续控制选挡电机保持驱动换挡指向远离所述待学习挡位方向移动;3)若在移动设定的小段距离的过程中或其之后,电机转速为零,则认为步骤1)中的堵转为到达待学习挡位的极限位置,则认为步骤1)中的记录位置为待学习挡位的极限位置。本发明能够准确区分啮齿前和啮齿后两种状态,能够有效判断单次学习是否成功,能够保证挡位自学习的准确无误。(The invention relates to a self-learning control method and a self-learning control system for gear positions of a gearbox, which comprise the following steps: 1) controlling a gear selection motor to drive a gear shifting point to move towards a gear to be learned, and recording the current position of the gear shifting point when the gear selection motor is locked; 2) controlling a gear selection motor to drive a gear shifting finger to move a set small distance from the current position to the direction far away from the gear to be learned; after the set small distance is moved, continuously controlling a gear selection motor to keep driving the gear shifting to move in a direction away from the gear to be learned; 3) and if the rotating speed of the motor is zero in the process of moving or after the set short distance, considering that the locked rotor in the step 1) reaches the limit position of the gear to be learned, and considering that the recorded position in the step 1) is the limit position of the gear to be learned. The invention can accurately distinguish the two states before and after the tooth, can effectively judge whether the single learning is successful, and can ensure the accuracy of the self-learning of the gears.)

1. A self-learning control method for gear positions of a gearbox is characterized by comprising the following steps:

1) controlling a gear selection motor to drive gear shifting to point to the direction of a gear to be learned to move, and recording the current position of the gear shifting finger when the gear selection motor is locked;

2) controlling a gear selection motor to drive a gear shifting finger to move from the current position to the direction far away from the gear to be learned;

3) and if the rotating speed of the motor is detected to be zero, recording the current position of the gear shifting finger as the limit position of the gear to be learned.

2. The self-learning control method for the gear position of the gearbox as recited in claim 1, wherein: and 3) judging that gear top teeth appear if the rotating speed of the motor is detected not to be zero, and re-learning the gear position.

3. The self-learning control method for the gear position of the gearbox as recited in claim 1 or 2, characterized in that: the method for judging the locked rotor of the gear selecting motor comprises the following steps: and detecting that the current of the gear selecting motor is greater than a set value and the rotating speed of the motor is zero.

4. The self-learning control method for the gear position of the gearbox as recited in claim 3, wherein: the mode for realizing the step 2) is as follows: and sending a reverse rotation instruction to the gear selection motor, wherein the reverse rotation instruction enables the gear selection motor to drive the gear shifting finger to move a preset distance from the current position to the direction far away from the gear to be learned, and the preset distance is smaller than the length of the current gear.

5. A self-learning control method for gear positions of a gearbox is characterized by comprising the following steps:

A. controlling a gear selection motor to drive gear shifting to move towards the direction of a gear to be learned until the gear selection motor is locked;

B. controlling a gear selection motor to drive a gear shifting finger to move from the current position to the direction far away from the gear to be learned;

C. and if the rotating speed of the motor is detected to be zero, the gear selection motor is controlled again to drive the gear to be learned to shift, and when the gear selection motor is locked, the current position of the gear shifting finger is recorded and calibrated to be the limit position of the gear to be learned.

6. The self-learning control method for the gear position of the gearbox as recited in claim 5, wherein: and C), judging that gear top teeth appear if the rotation speed of the motor is not zero, and re-learning the gear position.

7. The self-learning control method for the gear position of the gearbox as recited in claim 5 or 6, characterized in that: the method for judging the locked rotor of the gear selecting motor comprises the following steps: and detecting that the current of the gear selecting motor is greater than a set value and the rotating speed of the motor is zero.

8. The self-learning control method for the gear position of the gearbox as recited in claim 7, wherein: the mode for realizing the step B) is as follows: and sending a reverse rotation instruction to the gear selection motor, wherein the reverse rotation instruction enables the gear selection motor to drive the gear shifting finger to move a preset distance from the current position to the direction far away from the gear to be learned, and the preset distance is smaller than the length of the current gear.

9. A gearbox gear position self-learning control system, characterized by comprising a controller for executing instructions for implementing the method according to any one of claims 1 to 8.

Technical Field

The invention relates to a self-learning control method and a self-learning control system for gear positions of a gearbox, and belongs to the field of self-learning of gearboxes.

Background

Currently, with the rapid development of new energy passenger cars, AMTs have gradually become an important component of new energy passenger cars. At present, an electric control electric gear shifting mechanism is used more, and the position of a gear shifting finger is fed back by an electric gear shifting multipurpose displacement sensor at present at all times to serve as the eye of an AMT controller. The control system needs to accurately know the feedback value of the displacement sensor corresponding to each gear (hereinafter referred to as the calibration position of each gear) and the feedback value of the sensor corresponding to the current gear shifting finger position to realize normal and effective gear shifting. However, due to the problem of production consistency, it is often impossible to manually calibrate the calibration position of each gear for each gearbox, so that the control system is required to automatically identify these values.

At present, the common method is that a control system controls a gear shifting motor to rotate forwards or reversely, as shown in a two-gear AMT gear schematic diagram shown in fig. 1, the gear shifting motor rotates to drive a lead screw, so that a gear shifting finger 1 moves towards a 1-gear direction and a 2-gear direction respectively, the gear shifting motor is blocked, namely the gear shifting finger reaches a 1-gear position or a 2-gear position, and a voltage value fed back by a displacement sensor at the moment is regarded as a calibration position of the 1-gear or the 2-gear.

Due to the problem of the gear meshing structure of the gearbox, the phenomenon that the gearbox is damaged or the learning is unsuccessful due to improper gear top teeth and gear shifting motor torque output in the self-learning process can often occur.

Disclosure of Invention

The invention aims to provide a self-learning control method and a self-learning control system for gear positions of a gearbox, which are used for solving the problem of unsuccessful learning, such as damage of the gearbox and the like, caused by improper torque output of gear top teeth and a gear shifting motor in the self-learning process of the gearbox.

In order to achieve the above object, the scheme of the invention comprises:

the invention discloses a self-learning control method for gear positions of a gearbox, which comprises the following steps of:

1) controlling a gear selection motor to drive gear shifting to point to the direction of a gear to be learned to move, and recording the current position of the gear shifting finger when the gear selection motor is locked;

2) controlling a gear selection motor to drive a gear shifting finger to move from the current position to the direction far away from the gear to be learned;

3) and if the rotating speed of the motor is detected to be zero, recording the current position of the gear shifting finger as the limit position of the gear to be learned.

The invention can accurately distinguish the two states before and after the tooth, can effectively judge whether the single learning is successful, and can ensure the accuracy of the self-learning of the gears.

Further, in the step 3), if the rotation speed of the motor is detected not to be zero, it is judged that gear top teeth appear, and gear position self-learning is conducted again.

The invention can actively and accurately judge the top tooth phenomenon in single learning, and automatically control and repair the top tooth and carry out self-learning again after the self-learning fails due to the top tooth. The condition that self-learning needs to be repeated for several times to ensure accurate learning in the prior art is changed, and the time consumed by the self-learning of the gearbox is shortened.

Further, the method for judging the occurrence of locked rotor of the gear selecting motor comprises the following steps: and detecting that the current of the gear selecting motor is greater than a set value and the rotating speed of the motor is zero.

The motor locked rotor is determined by detecting the motor current, and whether the motor is locked rotor is judged according to the standard that whether the motor current reaches the locked rotor current, so that the method is simple and reliable.

Further, the manner of implementing the step 2) is as follows: and sending a reverse rotation instruction to the gear selection motor, wherein the reverse rotation instruction enables the gear selection motor to drive the gear shifting finger to move a preset distance from the current position to the direction far away from the gear to be learned, and the preset distance is smaller than the length of the current gear.

The invention also provides a self-learning control method for the gear position of the gearbox, which comprises the following steps:

A. controlling a gear selection motor to drive gear shifting to move towards the direction of a gear to be learned until the gear selection motor is locked;

B. controlling a gear selection motor to drive a gear shifting finger to move from the current position to the direction far away from the gear to be learned;

C. and if the rotating speed of the motor is detected to be zero, the gear selection motor is controlled again to drive the gear to be learned to shift, and when the gear selection motor is locked, the current position of the gear shifting finger is recorded and calibrated to be the limit position of the gear to be learned.

And after the top teeth do not appear or the locked rotor caused by the top teeth is judged and solved, the gear is shifted again and the position is recorded, the gear is guaranteed to reach the limit position of the gear, and the gear position recorded by self-learning is guaranteed to be in a state of leaning against the gear.

Further, in the step C), if the rotation speed of the motor is detected not to be zero, the gear top teeth are judged to appear, and the gear position self-learning is carried out again.

Further, the method for judging the occurrence of locked rotor of the gear selecting motor comprises the following steps: and detecting that the current of the gear selecting motor is greater than a set value and the rotating speed of the motor is zero.

Further, the method for implementing the step B) is as follows: and sending a reverse rotation instruction to the gear selection motor, wherein the reverse rotation instruction enables the gear selection motor to drive the gear shifting finger to move a preset distance from the current position to the direction far away from the gear to be learned, and the preset distance is smaller than the length of the current gear.

The invention also provides a self-learning control system for the gear position of the gearbox, which comprises a controller, wherein the controller is used for executing instructions for realizing the method.

Drawings

FIG. 1 is a schematic diagram of two-gear AMT gears;

FIG. 2 is a flow chart of a self-learning control method for gear positions of a transmission according to embodiment 1 of the invention;

fig. 3 is a flow chart of a self-learning control method for gear positions of a transmission according to embodiment 2 of the invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings.

The two-gear AMT gearbox is taken as an example (but not limited to two gears), but the core of the two-gear AMT gearbox is that the fault phenomenon of the top gear is actively judged and actively solved in the self-learning process, the accuracy and reliability of gear learning are improved, and the problem that the gear top gear causes learning failure or inaccurate gear disengagement is prevented.

Fig. 1 shows a gear diagram of a two-gear AMT transmission, which includes a shift finger 1, a neutral gear 2, a 1-gear 3, and a 2-gear 4. The gear shifting finger 1 is driven and controlled by a gear selecting motor through a meshed gear rack, and can move towards the 1-gear or 2-gear direction, when the gear shifting finger enters the 1-gear, the gear shifting finger is locked in the 1-gear area, and the gearbox is engaged in the 1-gear; when the gear shifting finger enters a 2-gear, the gear shifting finger is locked in a 2-gear area, and the gearbox is engaged in a 2-gear.

When the control system is used for shifting gears, the gear position needs to be known at the moment, the output value of the corresponding sensor needs to be detected, and the calibration of the output value of the corresponding sensor of the corresponding gear in the gear state is the gear position self-learning.

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