This paper describes a motor torque control algorithm of a motorized active suspension damper (MASD) for ride quality improvement. Quarter car suspension model including actuator dynamics is presented and compared with a conventional suspension model....
This paper describes a motor torque control algorithm of a motorized active suspension damper (MASD) for ride quality improvement. Quarter car suspension model including actuator dynamics is presented and compared with a conventional suspension model. Two types of suspension control algorithm are developed. One is a passive suspension control algorithm for following the desired damping force. The other is an active suspension control algorithm based on optimal control theory in order to minimize a performance index which is defined using the sprung mass acceleration, the suspension deflection and the tire deflection.
An adaptive observer has been designed to estimate the suspension velocity and dynamic friction of MASD using measured suspension deflection, sprung mass acceleration and unsprung mass acceleration. Numerical simulation studies have been conducted using the quarter car suspension model. From the simulation results, it has been found that the passive suspension control algorithm determines the motor torque for tracking the desired damping force and the active suspension control algorithm can improve the ride quality compared with the passive suspension controller.