A method for self-detection of voice coil motor parameters

Abstract

The invention discloses a method for self-testing parameters of a voice coil motor. The method comprises: a control chip is connected with the voice coil motor through a control interface, and the control chip drives the motor to different positions by controlling the current inside the voice coil motor; The coil will cut the magnetic field line of the magnetic field inside the voice coil motor, and the induced electromotive force will be generated at both ends of the coil to obtain the induced voltage; the control chip will automatically detect the induced electromotive force; the control chip will measure and calculate the parameters of the voice coil motor according to the detected induced electromotive force. . The chip of the present invention detects the motor parameters without requiring the customer to test the motor parameters. Each chip corresponds to a motor, ensuring that each motor has its optimal control parameters; The parameter changes will lead to the weakening of the stabilization effect.

Description

technical field [0001] The invention relates to the fields of voice coil motor control and integrated circuit design, in particular to a voice coil motor parameter self-detection method. Background technique [0002] The position a voice coil motor moves is directly proportional to the current passing through its internal coil, i.e. the current determines the motor position. However, due to the structural characteristics of the voice coil motor, when a current is input to the inner coil of the voice coil motor, the position of the motor will oscillate, and the oscillation will not decay to a stable position until a long period of time. The stabilization algorithm of the voice coil motor can effectively reduce the vibration of the motor and make it stable quickly. [0003] When the voice coil motor fast and stable algorithm works, it is necessary to know the parameters of the motor. At present, customers use other measurement tools, such as laser range finders, to measure th...

AI Technical Summary

Problems solved by technology

Due to the consistency problem in motor production, that is, the parameters of each motor will be different. Using the statistical results as the parameters of this batch of motors will cause the chip's control algorithm to have different stabilization effects on different motors. The farther the motor parameters deviate from the statistical parameters , the worse the stabilizing effect

[0004] In addition, as the motor is used for a long time, the parameters of the motor will change to a certain extent, and this change will also affect the stability of the control algorithm.

[0005] The high-order control algorithm has a large tolerance to the parameter change of the motor, but the stabilization time of the control motor will be relatively long; the low-order control algorithm has a relatively short stabilization time, but the tolerance to the change of the motor parameter is low. pros and cons

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