Observer‐Based Adaptive L₂ Disturbance Attenuation Control of Semi‐Active Suspension with MR Damper

Abstract

A novel nonlinear observer‐based adaptive disturbance attenuation control strategy was proposed for a quarter semi‐active suspension system with a magneto‐rheological (MR) damper in light of the intrinsic nonlinearity, parameter uncertainty, state immeasurability and road randomness. Adaptive adjusting parameters were adopted to avoid the curve fitting and identification of the system parameters by a great deal of experimental data for shortening the development cycle of the control system. Based on the reduced‐order observer, the system states including the immeasurable virtual state of MR damper and inconveniently measured states of suspension system were estimated for the realistic frame of the proposed controller in practice. The dissipative system theory was utilized to reduce the influence of the road disturbance on the system control performance. Simulation results in the bump road and B‐class road indicate that, whether there are perturbations of the system parameters or not, the proposed control scheme always ensures a better performance on the suspension travel, ride comfort and handling stability in comparison with other existing methods.

Observer‐Based H∞ Synchronization Control for Input and Output Time‐Delays Coronary Artery System

“…By utilizing the delay-derivative limits, delay-interval bounds, reciprocally convex approach [27], further improved result of Jensen inequality [28], delay-range-dependent and less conservative observer-based controller design condition is formulated, through which the state estimation error and synchronization error can converge to zero. To suppress the influence of the external disturbance bounded by L 2 norm, H ∞ performance is considered in the condition by adjusting the disturbance attenuation rate [29]. Moreover, as the observer and controller gains coexist in the design procedure, which leads to difficulties in seeking solutions.…”

A New SSUKF Observer for Sliding Mode Force Tracking H∞ Control of Electrohydraulic Active Suspension

“…Therefore, the estimation of unmeasurable suspension states is necessary. Some advanced estimation algorithms have been developed . For instance, Cheng et al .…”

“…For instance, Cheng et al . proposed a reduced‐order observer to estimate the virtual state of the MR damper. Deshpande et al .…”

“…Therefore, the estimation of unmeasurable suspension states is necessary. Some advanced estimation algorithms have been developed [11][12][13]. For instance, Cheng et al [11] proposed a reduced-order observer to estimate the virtual state of the MR damper.…”

“…Some advanced estimation algorithms have been developed [11][12][13]. For instance, Cheng et al [11] proposed a reduced-order observer to estimate the virtual state of the MR damper. Deshpande et al [12] successfully designed a disturbance observer based sliding mode control scheme to estimate the lumped uncertainties of nonlinear suspension systems.…”