Active Roll Stabilization with Disturbance Feedforward Control

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Abstract

This article presents a method to design a controller for active roll stabilization (ARS) with a disturbance feedforward control. To design the controller, a linear 1-DOF roll model is adopted. With the model, three feedback controllers, i.e., linear quadratic regulator (LQR), $H_{\infty }$ and sliding mode controller (SMC), are designed. Feedforward controller with the lateral acceleration is designed with a discrete-time state-space equation to improve roll control performance. To estimate the roll angle and the lateral acceleration simultaneously with noisy roll rate measurement, a discrete-time Kalman filter (DTKF) is used. When applying DTKF for state and disturbance estimation, a recursive least square (RLS) is adopted to estimate the parameters of 1-DOF roll model. As an actuator for ARS, an active anti-roll bar (AARB) and a continuous damping control (CDC) are adopted. To verify the performance of the proposed controllers, simulation is conducted on the vehicle simulation package, CarSim®. From simulation, it was verified that the proposed controllers can enhance the performance of active roll stabilization and that the effectiveness of CDC was investigated.

Original languageEnglish
Article number9336689
Pages (from-to)19788-19799
Number of pages12
JournalIEEE Access
Volume9
DOIs
StatePublished - 2021

Keywords

  • Active roll stabilization (ARS)
  • active anti-roll bar (AARB)
  • continuous damping control (CDC)
  • discrete-time Kalman filter (DTKF)
  • disturbance feedforward control
  • recursive least square (RLS)

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