DocumentCode
229999
Title
A novel acceleration estimation algorithm for mechanical vibration suppression of two-mass system
Author
Jie Jin ; Surong Huang
Author_Institution
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
2066
Lastpage
2070
Abstract
Precise and timely acceleration obtaining is a key technology for mechanical vibration suppression by acceleration feedback. Adaptive windowing (AW) technique is used to develop a novel acceleration estimation algorithm for servo drive system with incremental encoder. Firstly, a first order function is presented to estimate velocity according to the discrete-time sampled information, and AW algorithm is proposed to minimize the estimated velocity error. Secondly, acceleration is obtained by partial differential to the first order fitting function. The algorithm has high accuracy at change-slow occasion and high dynamic response at change-rapid occasions because of the calculation step adjusted adaptively. Finally, a simulation experiment of two-mass system is studied, the mechanical vibration is diminished effectively by the feedforward of acceleration, and simulation results are shown to demonstrate the effectiveness of the proposed algorithm.
Keywords
dynamic response; feedback; motor drives; servomechanisms; vibrations; AW technique; acceleration estimation algorithm; acceleration feedback; adaptive windowing technique; change-rapid occasions; change-slow occasion; discrete-time sampled information; estimated velocity error minimization; first order fitting function; high dynamic response; incremental encoder; mechanical vibration suppression; servo drive system; two-mass system; Acceleration; Accuracy; Estimation; Phase locked loops; Servomotors; Shafts; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/ICEMS.2014.7013845
Filename
7013845
Link To Document