TY - GEN
T1 - On approach of multiple frequency active vibration control under the actuator with magnetic hysteresis loop
AU - Li, Chao
AU - Mao, Jianqin
PY - 2005
Y1 - 2005
N2 - Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.
AB - Since the magnetostrictive actuator is a nonlinear plant with magnetic hysteresis loop, its multiple frequency active vibration control is more complicated. in this paper, a Simple Hyperstable Adaptive Recursive Filter (SHARF) algorithm based on nonlinear model is proposed. The nonlinear model of magnetostrictive actuator is obtained by using radial basis neural network. The experimental result show that the proposed approach is real-time efficient. An attenuation of about 30dB is achieved. The algorithm is also suitable as a reference to the stabilizing control of a class of nonlinear system with magnetic hysteresis loop.
KW - Active vibration control
KW - Magnetic hysteresis loop
KW - Magnetostrictive actuator
KW - Radial basis neural network
KW - SHARF
UR - https://www.scopus.com/pages/publications/79960712395
M3 - 会议稿件
AN - SCOPUS:79960712395
SN - 008045108X
SN - 9780080451084
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 943
EP - 947
BT - Proceedings of the 16th IFAC World Congress, IFAC 2005
T2 - 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
Y2 - 3 July 2005 through 8 July 2005
ER -