Robust Active Suspension Research Articles

Design of robust active suspension system for performance improvement and vibration control of railway vehicles: An H∞andμ-synthesis perspective

The ride comfort of a high-speed railway vehicle is a significant factor in assessing its performance. Despite having sound suspension systems and efficient control algorithms, the suspension system performance deteriorates with time. Hence, in this paper, a robust active vibration control system used in railway vehicles has been proposed. For analysis, a 27-degree of freedom (DOF) model consisting of structured and unstructured uncertainties has been considered. Two different robust control techniques, [Formula: see text] and [Formula: see text]-synthesis integrated with the Kalman estimator, have been adopted. The robust stability and the robust performance of the proposed control strategies have been evaluated using the structured singular values. The time and frequency domains of the closed loop perturbed responses to random track disturbances are shown. The root mean square (RMS) values of the accelerations of the car bodies are used to compare the suggested control schemes to the passive system. The primary focus of this study is to examine the level of ride comfort provided by the railway vehicle. To achieve this, simulated findings are compared and verified against experimental data collected and reported by the Research Designs and Standards Organization (RDSO). The observational data demonstrates that the results obtained from the suggested control methods are in close agreement with the experimental findings, with a minimal disparity ranging from 2.36% to 8.81% for lateral motion and 2.84% to 6.30% for vertical motion. Also, the % improvement of RMS values with [Formula: see text]-synthesis controller confirms the enhancement of the ride comfort as compared to other techniques.

Robust active suspension control of vehicles with varying vehicle mass

Robust active suspension control of vehicles with varying vehicle mass

An optimal vibration control strategy for robust active suspension systems design with actuator delays and uncertainties

An optimal vibration control strategy for robust active suspension systems design with actuator delays and uncertainties

D32 4輪車両の適応乗り心地改善制御手法(M-OS15-3 適応学習制御とその応用III,M-OS15 適応学習制御とその応用,「海を越え,国を越え,世代を超えて!」)

In this paper, a new robust active suspension control scheme is developed so that ride comfort at any specified location becomes best for four-wheel vehicle. To achieve this end, a combined ideal vehicle is de-signed so that ride comfort at a specified location becomes best easily by using only two design parameters. To achieve the good property stated above in real vehicles, a robust tracking controller is proposed.

乗員のダイナミクスを考慮した自動車用アクティブサスペンションの制御系設計(機械力学,計測,自動制御)

乗員のダイナミクスを考慮した自動車用アクティブサスペンションの制御系設計(機械力学,計測,自動制御)

629 乗員のダイナミクスを考慮したサスペンション制御系設計

629 乗員のダイナミクスを考慮したサスペンション制御系設計

Active air-suspension design for transit buses

The goal of this study is to design a robust active suspension that is capable of handling the combination of suspension non-linearities, uncertainty in the vehicle model parameters, and preload-dependent variation in the suspension characteristics. Since the loading condition of transit buses often varies from trip to trip, the robustness of the active suspension system with respect to the model parameter uncertainty becomes especially important. The effort of this study consists of two parts: one is to develop a non-linear air-spring model based on experimental data; and the other is to design a sliding mode controller to improve suspension system performance, more specifically, ride quality.

409 車両のロバスト乗り心地改善制御手法

In this paper, a new robust active suspension control scheme is developed so that ride comfort at any specified location becomes best. To achieve this end, a combined ideal vehicle is designed so that ride comfort at a specified location becomes best by using only one design parameter. To achieve the good property stated above in real vehicles, a robust tracking controller is proposed. It is shown by numerical simulations that ride comfort at a specified location can he easily improved and good robustness for front and rear suspension stiffness, damping rate and tire spring stiffness is confirmed.

A hybrid evolutionary approach for robust active suspension design of light rail vehicles

This paper is concerned with the design of a robust active suspension controller for light rail vehicles aimed at providing superior ride comfort within the suspension's traveling range. A multibody dynamic model of a three-car train is set up and the control parameters are optimized. Force cancellation, skyhook damper, and track-following concepts are used to synthesize the active controller. Selection of the active suspension parameters is aided by an evolutionary computation algorithm to get the best compromise between ride quality, suspension deflections due to irregular gradient tracks, and robust stability of the control system. A mixed gradient and evolutionary multiobjective optimization approach accompanied with the Pareto set and variable weights are developed to deal with the complicated control design task. Extensive simulations and comparisons are performed to verify the proposed design.