Nonlinear Control of an Active Suspension System with Supertwisiting Algorithm and Extended Kalman Filter Observer

This paper introduces a sliding mode controller with a super twisting algorithm applied to the active suspension system of a quarter car model to improve the controller's performance. To enhance the controller's effectiveness, an extended Kalman filter is used for state estimation, ensuring accurate state predictions in the presence of noise and external disturbances. The primary objective of this control approach is to reduce the vehicle body acceleration, thereby improving passenger comfort. For comparison, a first-order sliding mode controller with an extended Kalman filter is also implemented in the quarter car model, and the results of both controllers are compared to the passive suspension system.

Keywords:

Active suspension system , higher order sliding mode control , extended Kalman filter , supertwisiting algorithm , nonlinear control