TY - GEN
T1 - Adaptive estimation and control of MR damper for semi-active suspension systems
AU - Pei, Qianqian
AU - Na, Jing
AU - Huang, Yingbo
AU - Gao, Guanbin
AU - Wu, Xing
PY - 2016/8/26
Y1 - 2016/8/26
N2 - This paper proposes adaptive estimation and control methods for vehicle semi-active suspension systems with magneto-rheological (MR) damper. To incorporate MR damper into the control design, a hyperbolic model is adopted to describe its dynamics, and then adaptive parameter estimation is firstly studied to estimate the unknown parameters of the hyperbolic model. This estimation method requires the measured piston variable and damper force, and can be taken as a further extension of our recently proposed parameter estimation error based algorithms. Moreover, an adaptive control is designed to stabilize the vertical vehicle displacement to improve the ride comfort, where an alternative leakage term is introduced in the adaptive law to guarantee simultaneously the precise estimation of several essential parameters (e.g. mass of vehicle body and MR damper parameters) and the control convergence. The closed-loop system stability is proved and relevant suspension performance requirements are analyzed. Finally, simulations based on a quarter-car model are provided to validate the proposed method.
AB - This paper proposes adaptive estimation and control methods for vehicle semi-active suspension systems with magneto-rheological (MR) damper. To incorporate MR damper into the control design, a hyperbolic model is adopted to describe its dynamics, and then adaptive parameter estimation is firstly studied to estimate the unknown parameters of the hyperbolic model. This estimation method requires the measured piston variable and damper force, and can be taken as a further extension of our recently proposed parameter estimation error based algorithms. Moreover, an adaptive control is designed to stabilize the vertical vehicle displacement to improve the ride comfort, where an alternative leakage term is introduced in the adaptive law to guarantee simultaneously the precise estimation of several essential parameters (e.g. mass of vehicle body and MR damper parameters) and the control convergence. The closed-loop system stability is proved and relevant suspension performance requirements are analyzed. Finally, simulations based on a quarter-car model are provided to validate the proposed method.
KW - adaptive control
KW - magneto-rheological damper
KW - parameter estimation
KW - Semi-active suspension systems
UR - http://www.scopus.com/inward/record.url?scp=84987925138&partnerID=8YFLogxK
U2 - 10.1109/ChiCC.2016.7553836
DO - 10.1109/ChiCC.2016.7553836
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:84987925138
SN - 9789881563910
T3 - Proceedings of the Chinese Control Conference
SP - 3111
EP - 3116
BT - 35th Chinese Control Conference (CCC)
PB - IEEE Computer Society
T2 - 35th Chinese Control Conference, CCC 2016
Y2 - 27 July 2016 through 29 July 2016
ER -