DocumentCode :
724310
Title :
Suppression of servo system mechanical resonance based on adaptive IIR notch filter
Author :
Na Li ; Shi-hua Li
Author_Institution :
Key Lab. of Meas. & Control of Complex Syst. of Eng., Minist. of Educ., Southeast Univ., Nanjing, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
3418
Lastpage :
3423
Abstract :
In actual servo system, the transmission mechanism is not an ideal rigid body, and mechanical resonance easily occurs. In this paper, the transmission mechanism of servo system is equivalent to a torsion spring, and the entire flexible connection servo system is simplified into a motor-spring-load two-mass system, then the mathematical model of the flexible connection servo system is established through theoretical analysis. Since the mechanical resonant frequency of the system will change with time and environment, the parameters of notch filter must be adjusted online with the resonant frequency. In this paper, according to the application requirements of mechanical resonance online suppressing, the mechanical resonance online suppressing algorithm based on adaptive IIR notch filter is proposed. Using a recursive least squares algorithm, resonant frequency of the system is online estimated, and then the frequency parameters of notch filter are adjusted online. The simulation results show the effectiveness of this method.
Keywords :
IIR filters; adaptive filters; least squares approximations; notch filters; power transmission (mechanical); resonance; servomechanisms; springs (mechanical); torsion; adaptive IIR notch filter; flexible connection servo system; mechanical resonance online suppressing algorithm; mechanical resonant frequency; motor-spring-load two-mass system; notch filter parameters; recursive least square algorithm; servosystem mechanical resonance suppression; torsion spring; transmission mechanism; Algorithm design and analysis; Conferences; Electronic mail; Industrial electronics; Notch filters; Resonant frequency; Servomotors; Adaptive IIR Notch Filter; Mechanical Resonance; Online suppression; Recursive Least Squares Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162513
Filename :
7162513
Link To Document :
بازگشت