Self-Identification of Key Parameters of Spindle Motor Drives
Quan Jiang, Yusong Tang, Yanhong Ye, Kun Xia, Chao Bi · 2018
This paper will introduce a self-identification method to measure the motor key parameters through its own drive or motor controller. These key parameters include the motor line resistance and inductance at operating frequency as well as back EMF constant or torque constant, which are very important to design motor close-loop control gains. The proposed method does not utilize the special meters or instruments, such as, multirneters, LCR meters or motor testing system, but do apply the phase current and voltage terminal detecting channels of a motor controller. It will provide the bases to the auto-tuning of motor control and motor health online dialogue without extra cost except the bigger size of flash or RAM memory for more codes.