TY - GEN
T1 - Sliding modes robust control for electrohydraulic servo system
AU - Yuan, Zhaohui
AU - Yuan, Ming
PY - 2013
Y1 - 2013
N2 - This document explains the uncertain-nonlinear-system'control problem. I present a robust adaptive sliding mode control, combing the Backstepping algorithm with sliding mode control. Design sliding mode control recursive rules, and then get the virtual control value. By the time, CMAC neural network learns system' uncertainty as well as the derivative information of each order virtual control value Real-time. The conventional sliding mode control easily leads to chattering as the result of using sign function as switching function. So, we use hyperbolic tangent function instead of sign function as sliding mode switching function, to avoid the possible chattering problem owing to discontinuous terms. Finally, the proposed control algorithm is verified by simulation, within the mathematical model of electric hydraulic servo system.
AB - This document explains the uncertain-nonlinear-system'control problem. I present a robust adaptive sliding mode control, combing the Backstepping algorithm with sliding mode control. Design sliding mode control recursive rules, and then get the virtual control value. By the time, CMAC neural network learns system' uncertainty as well as the derivative information of each order virtual control value Real-time. The conventional sliding mode control easily leads to chattering as the result of using sign function as switching function. So, we use hyperbolic tangent function instead of sign function as sliding mode switching function, to avoid the possible chattering problem owing to discontinuous terms. Finally, the proposed control algorithm is verified by simulation, within the mathematical model of electric hydraulic servo system.
KW - CMAC neural network
KW - Nonlinear system
KW - Sliding mode
UR - http://www.scopus.com/inward/record.url?scp=84892544617&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2013.6663955
DO - 10.1109/ICSPCC.2013.6663955
M3 - 会议稿件
AN - SCOPUS:84892544617
SN - 9781479910274
T3 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
BT - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
T2 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Y2 - 5 August 2013 through 8 August 2013
ER -