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SV600 Series User Manual 7 Parameter Description
85
Function
code
Name
Setting range
Default
Property
P1-06
Motor stator resistance
0.001 Ω ~ 65.535 Ω (inverter power < =
55kW)
0.0001 Ω ~ 6.5535 Ω (inverter power >
55kW)
Obtain by
self-learning
★
P1-07
Motor rotor resistance
0.001 Ω ~ 65.535 Ω (inverter power < =
55kW)
0.0001 Ω ~ 6.5535 Ω (inverter power >
55kW)
Obtain by
self-learning
★
P1-08
Leakage
inductance
reactance
0.01 mH ~ 655.35 mH (inverter power < =
55kW)
0.001 mH ~ 65.535 mH (inverter power
> 55kW)
Obtain by
self-learning
★
P1-09
Mutual
inductance
reactance
0.1 mH ~ 6553.5 mH (inverter power
< = 55kW)
0.01 mH ~ 655.35 mH (inverter power
> 55kW)
Obtain by
self-learning
★
P1-10
Motor no-load current
0.01 A ~ P1-03 (inverter power < = 55kW)
0.1 A ~ P1-03 (inverter power > 55kW)
Obtain by
self-learning
★
The parameters in P1-06 to P-10 are asynchronous motor internal characteristic parameters. These
parameters are unavailable on the motor nameplate and are obtained by means of motor
parameters self-learning. Only P1-06 to P1-08 can be obtained through static motor parameters
self-learning.
When motor rated power or motor rated voltage changed, please perform self-learning agian if
under vector control.
If it is impossible to perform motor auto-tuning onsite, manually input the values of these
parameters according to data provided by the motor manufacturer or other ways.
Function
code
Name
Setting range
Default
Property
P1-37
Self-learning selection
0: No self-learning
1: Static self-learning
2: Rotation complete self-learning
3. Static complete self-learning
0
★
In order to ensure the best control performance of the inverter during vector control, please
disconnect the load from the motor and use the rotation self-learning to perform motor
parameter self-learning, otherwise the vector control effect will be affected. Use static
self-learning when the motor has a large inertia load and is not easy to disconnect and vector
control is required.
Please correctly set motor nameplate parameters P1-00 to P1-05 before perfrom motor
characteristic parameters self-learning.
0: No self-learning
1: Static self-learning