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
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;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013845