DocumentCode
504239
Title
Application of LQR control theory to the design of modified skyhook control gains for semi-active suspension systems
Author
Nguyen, Le Hao ; Park, Seonghun ; Turnip, Arjon ; Hong, Keum-Shik
Author_Institution
Sch. of Mech. Eng., Pusan Nat. Univ., Busan, South Korea
fYear
2009
fDate
18-21 Aug. 2009
Firstpage
4698
Lastpage
4703
Abstract
The control objective in this paper is to improve the ride comfort and the road holding ability, while maintaining the constraint on suspension deflection, for the semi-active suspension system equipped with a MR damper and a suspension relative displacement sensor. Two optimal control strategies are investigated: First, the linear quadratic regulator (LQR) control is investigated from the perspective of finding what optimal control forces are needed. Second, a modified skyhook control law is investigated for a semi-active suspension equipped with an MR damper. The parameters of the modified skyhook control are determined by minimizing the difference between the modified skyhook control forces and the optimal forces obtained by the LQR control using a minimum norm criterion. Furthermore, the use of filters to estimate the state variables is proposed. Simulation results are provided.
Keywords
automobiles; control system synthesis; displacement control; filtering theory; force control; gain control; linear quadratic control; sensors; shock absorbers; state estimation; vehicle dynamics; vibration control; LQR control theory; MR damper; filter design; linear quadratic regulator control; minimum norm criterion; optimal control force strategy; quarter-car suspension model; ride comfort; road holding ability; road vechicle; semiactive suspension system; simulation result; skyhook control gain design; state variable estimation; suspension deflection; suspension relative displacement sensor; Control systems; Control theory; Damping; Displacement control; Force control; Optimal control; Regulators; Roads; Sensor systems; Shock absorbers; Filter; LQR Control; Skyhook Control; State Estimation; Suspension Control;
fLanguage
English
Publisher
ieee
Conference_Titel
ICCAS-SICE, 2009
Conference_Location
Fukuoka
Print_ISBN
978-4-907764-34-0
Electronic_ISBN
978-4-907764-33-3
Type
conf
Filename
5332968
Link To Document