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DRV8461SPWPR 数据表(PDF) 42 Page - Texas Instruments

部件名 DRV8461SPWPR
功能描述  DRV8461: 65 V, 3 A Stepper Motor Driver for High Efficiency and Noiseless Operation
PDF  117 Pages
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制造商  TI [Texas Instruments]
网页  http://www.ti.com
标志 TI - Texas Instruments

DRV8461SPWPR 数据表(HTML) 42 Page - Texas Instruments

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ATQ_CNT= k1×τ×ωIFS
(13)
where k1 is a constant at a given operating condition and IFS is the full-scale current (peak of the sinusoidal
current waveform) of the stepper driver.
Equation 13 defines the basic working principle of the auto-torque algorithm. The ATQ_CNT parameter can be
used to perform motor coil current regulation based on applied load torque on the stepper motor.
Figure 7-23 shows (ATQ_LRN + ATQ_CNT) measured as a function of load torque at 2.5A full-scale current for
a hybrid bipolar NEMA 24 stepper motor rated for 2.8A. ATQ_LRN does not change with load torque, whereas
ATQ_CNT changes linearly with load torque.
Load torque (Nm)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0
20
40
60
80
100
120
140
160
180
200
Figure 7-23. (ATQ_LRN + ATQ_CNT) vs. load torque
After auto-torque algorithm is enabled, the learning routine must be run to estimate the ATQ_LRN parameters.
The learning routine uses the linear relation between ATQ_LRN and motor current described in Equation 12.
The user has to select two current values at which learning will be performed, with no load torque applied on
the motor. These two current values are programmed by the ATQ_LRN_MIN_CURRENT and ATQ_LRN_STEP
registers.
• Initial current level = ATQ_LRN_MIN_CURRENT x 8
• Final current level = Initial current level + ATQ_LRN_STEP
The ATQ_LRN values at these two currents are saved in the ATQ_LRN_CONST1 and ATQ_LRN_CONST2
registers. These two registers are used to interpolate ATQ_LRN value for all other currents within the operating
range of the application.
Table 7-23 lists the registers associated with auto-torque learning routine.
Table 7-23. Registers for auto-torque learning routine
Register Name
Description
ATQ_LRN_MIN_CURRENT[4:0]
Represents the initial current level for auto-torque learning routine.
DRV8461
SLOSE98 – DECEMBER 2022
www.ti.com
42
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Product Folder Links: DRV8461



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