Active Nonlinear Vehicle-Suspension Variable-Gain Control

Abstract

This paper presents a novel control method applied to nonlinear vehicle suspension systems. Here, a quarter-car two-degree-of-freedom system with nonlinear suspension dynamics that is excited by unknown road profiles is considered. An extended observer is used to estimate the nonlinear effects as well as the road profile. This observer relies on 2 position (or deflection) measurements. Based on the estimation, a simple adaptive feedback-linearization scheme is implemented to cancel the effects of the nonlinear suspension. Finally, the frequency content of the estimated road profile serves as a selection criterion in a variable-gain linear control scheme. Simulation results demonstrate the merits and the applicability of the proposed approach.

Control of Nonlinear Active Vehicle Suspension Systems Using Disturbance Observers

“…Some numerical simulations were performed on a nonlinear quarter-vehicle suspension system characterized by the following set of realistic parameters (Tahboub, 2005) to verify the effectiveness of the proposed disturbance observer-control design methodology (see Table 1 The following trajectory was utilized to simulate the unknown exogenous disturbance excitations due to irregular road surfaces (Chen & Huang, 2005):…”

“…Some active control schemes are based on neural networks, genetic algorithms, fuzzy logic, sliding modes, H-infinity, adaptive control, disturbance observers, LQR, backstepping control techniques, etc. See, e.g., (Cao et al, 2008); (Isermann & Munchhof, 2011); (Martins et al, 2006); (Tahboub, 2005); (Chen & Huang, 2005) and references therein. In addition, some interesting semiactive vibration control schemes, based on Electro-Rheological (ER) and Magneto-Rheological (MR) dampers, have been proposed and implemented on commercial vehicles.…”

Switching control in blu-ray disk drives

“…To deal with this trade-off, recently a switching control design was reported, wherein the controller gain continuously operates in on-off state [22]; see [1,2,4,20] for related advances in variable gain control. Subject to low-frequency shock and vibration, large error signals induce large controller gains.…”

A neurofuzzy controller for full vehicle active suspension systems

“…Tahboub (2005) presented a control method applied to a quarter vehicle model with nonlinear suspension dynamics. In Renn and Wu (2007), two control schemes are designed for the quarter vehicle nonlinear active suspension system to improve riding comfort and to achieve control performance.…”