User Manual of EM760 High-Performance Inverter Note: Common process parameters may also include the input and output terminal function settings. Refer to the F02 and F03 groups in the function table. 5.7 Motor Parameter Identification For the better control performance, motor parameters must be identified. ● Prior to self-identification, make sure that the motor is stopped; otherwise, self-identification cannot be performed properly. Parameter identification steps ● Where the motor and load can be separated, the mechanical load and motor should be completely separated in the power-off status. ● After the power-on, set the command source of the inverter to keyboard control (F00.02=0). 70 8:
digital potentiometer setting F00.07 Digital frequency setting 0.00 to maximum frequency F00.16 Hz 0.00 ● F00.14 Acceleration time 1 0.00~650.00 (F15.13=0) s 15.00 ● F00.15 Deceleration time 1 0.00~650.00 (F15.13=0) s 15.00 ● F00.16 Maximum frequency 1.00~600.00 Hz 50.00 〇 F00.18 Upper frequency limit Lower frequency limit F00.19 to maximum frequency F00.16 Hz 50.00 ● F00.19 Lower frequency limit 0.00 to upper frequency limit F00.18 Hz 0.00 ● F00.21 Reverse control 0: Allow forward/reverse running 1:
Prohibit reversing 0 〇 Identification Method Application Identification Effect F01.34=1 Static self-learning of asynchronous motor It is applied where the motor and load cannot be separated easily and rotary self-learning is not allowed. General F01.34=11 Static self-learning of synchronous motor F01.34=2 Rotary self-learning of asynchronous motor Scenarios where the motor and load can be separated easily and open-loop control is adopted. Before operation, the motor shaft should be separated from the load. The motor under load must not be put into rotary self- learning.
Good F01.34=12 Rotary self-learning of synchronous motor F01.34=3 Self-learning of asynchronous motor encoder Closed-loop control; scenarios where the motor and load can be separated easily and closed-loop control is adopted. (For a synchronous motor with an encoder, encoder self-learning is required.) Optimal F01.34=13 encoder self-learning of synchronous motor