Comfort and safety analysis of automotive active suspension based on adaptive filter theory

Abstract

The Least Means Squares (LMS) adaptive theory is used in active suspension system. With adjusting the weight of adaptive filter, the minimum quadratic performance index is obtained. For two-DOF automotive suspension model, LMS adaptive controller is studied. According to the evaluation method of riding comfort and handling safety of automotive, the acceleration of the sprung mass, dynamic tyre load between wheels and road and dynamic deflection between the sprung mass and the unsprung mass are determined as the evaluation targets of suspension performance. The simulation results show that LMS adaptive control is not only simple algorithm but also remarkably effective. The calculation of LMS adaptive control algorithm is much little, and the method is fit for the active control of the suspension system.