Control Characteristics of Active Suspension in Vehicles using Adaptive Control Algorithm

In this study, an adaptive control algorithm is designed and its control performance is evaluated via numerical simulation. Quarter vehicle active suspension model is considered, and fuzzy-proportional-integral-derivative(fuzzy-PID) control algorithm is proposed. In the fuzzy-PID control algorithm, membership function and fuzzy rules are designed to determine the continuously changing control gains of PID control algorithm in response to variable external environments. The control gains for conventional PID controller are fixed at a constant value, but the control gains of the proposed fuzzy-PID controller are changed continuously to adapt to the changes in the external environment. This in turn can further improve control performance. The suspension control performances for bump and random road were compared between the proposed fuzzy-PID controller and controller designed based on the Ziegler-Nichols method. Based on this, the superiority of the proposed controller is verified.