Title :
Fast identification of resonance characteristic for 2-mass system with elastic load
Author :
Ming Yang ; Liang Hao ; Dianguo Xu
Author_Institution :
Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
Servo system is greatly influenced by mechanical resonance. The offline suppression of mechanical resonance is determined by the identification of mechanical resonance characteristic. The resonance characteristic can be obtained from the Bode diagram of current closed-loop. This paper discusses two methods of fast acquirement to get resonant characteristic based on pseudo random binary sequence (PRBS) and Chirp signals. Power spectrum method is used to process data. According to the identified frequency, the parameter of notch filter is determined. The results of simulation and experiment demonstrate the accuracy of this method and the suppression effect based on this method.
Keywords :
elasticity; mechanical engineering computing; notch filters; servomechanisms; signal processing; 2-mass system; Bode diagram; Chirp signals; PRBS; elastic load; mechanical resonance characteristic identification; notch filter parameter; power spectrum method; pseudorandom binary sequence; servo system; suppression effect; Analytical models; Chirp; Control design; Damping; Inverters; Pulse width modulation; Resonant frequency; Chirp Signals; Identification of Resonance Characteristic; Pseudo Random Binary Sequence; Servo System;
Conference_Titel :
Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE-ASIA), 2014 International
Conference_Location :
Hiroshima
DOI :
10.1109/IPEC.2014.6870140