TY - JOUR
T1 - Design of Virtual Reference Feedforward Controller for an Active Suspension System
AU - Jeong, Yonghwan
AU - Sohn, Youngil
AU - Chang, Sehyun
AU - Yim, Seongjin
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents a method to design a virtual reference feedforward controller (VRFC) for an active suspension system. Generally, it is not easy to apply a feedforward control to an active suspension system because a reference or disturbance is difficult to measure or estimate. Instead of measuring references or disturbances, a virtual reference on heave motion of a sprung mass representing a bump is defined and used for feedforward control in this paper. Feedforward controller with the virtual reference is combined with feedback controllers such as linear quadratic regulator (LQR) and linear quadratic (LQ) static output feedback (SOF) controller. To fully take advantages of the virtual reference for an active suspension system, it is necessary to find optimal parameters of the virtual reference which maximizes control performance. For the purpose, a simulation-based optimization is formulated and solved by a heuristic optimization method. A simulation with a simulation package shows that the proposed VRFC is quite effective in improving the ride comfort with an active suspension system.
AB - This paper presents a method to design a virtual reference feedforward controller (VRFC) for an active suspension system. Generally, it is not easy to apply a feedforward control to an active suspension system because a reference or disturbance is difficult to measure or estimate. Instead of measuring references or disturbances, a virtual reference on heave motion of a sprung mass representing a bump is defined and used for feedforward control in this paper. Feedforward controller with the virtual reference is combined with feedback controllers such as linear quadratic regulator (LQR) and linear quadratic (LQ) static output feedback (SOF) controller. To fully take advantages of the virtual reference for an active suspension system, it is necessary to find optimal parameters of the virtual reference which maximizes control performance. For the purpose, a simulation-based optimization is formulated and solved by a heuristic optimization method. A simulation with a simulation package shows that the proposed VRFC is quite effective in improving the ride comfort with an active suspension system.
KW - 2-DOF quarter-car model
KW - Active suspension control
KW - LQ SOF control
KW - LQR
KW - virtual reference feedforward control (VRFC)
UR - http://www.scopus.com/inward/record.url?scp=85133612395&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3184417
DO - 10.1109/ACCESS.2022.3184417
M3 - Article
AN - SCOPUS:85133612395
SN - 2169-3536
VL - 10
SP - 65671
EP - 65684
JO - IEEE Access
JF - IEEE Access
ER -