A Study on Sliding Mode Control for Active Suspension System

Wu, Qing; Shangguan, Wen‐Bin; Xu, Ping; Feng, Huayuan; Sun, Yi

doi:10.4271/2020-01-1084

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…To achieve a chatter-free system response and ensure that system is robust against disturbances and system uncertainties, the switching control law u swt ( t ) used in the conventional SMC 9 is modified. Based on the reaching law, 27 the switching control law is given as…”

Section: Controller Designmentioning

confidence: 99%

“…Lin et al 8 designed a fuzzy sliding mode control (SMC) with a sliding mode observer for suspension system with uncertainties. SMC with a disturbance observer is proposed by Qin et al 9 for suppressing the vibrations in an ASS. A radial basis function neural network (NN) control 10 and a robust adaptive control method using backstepping and NN identification 11 are proposed for the control of a quarter car ASS.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive sliding mode-based active disturbance rejection control for vehicle suspension control

Suhail

Bazaz

Hussain

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents an adaptive sliding mode-based active disturbance rejection control strategy for the quarter car active suspension control. The suspension system is problematic for its nonlinearities from the dampers, springs, and irregular excitation from the road surface. This study considers this complex behavior and nonlinear characteristics of the suspension system and uses an adaptive sliding mode control law and an extended state observer to estimate and eliminate them from the controlled system. The central concept is to combine the advantages of adaptive sliding mode control to accurately track the reference trajectory with the ability of active disturbance rejection control to reject the parameter uncertainties and external disturbances. The proposed control scheme is verified in simulation studies with parameter uncertainties, nonlinearities, and external disturbances. The simulation results show that the proposed control scheme can significantly improve vehicles’ ride comfort and road-handling ability, owing to the extended state observer’s estimation capability. A comparison of the proposed strategy is also presented with a linear active disturbance rejection control and a conventional proportional–integral–derivative controller. Simulation results show that adaptive sliding mode-based active disturbance rejection improves the robustness against modeling errors, nonlinearities, and disturbances.

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Section: Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive sliding mode-based active disturbance rejection control for vehicle suspension control

Suhail

Bazaz

Hussain

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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show abstract

“…By creating a stable sliding surface, the controller ensures effective responses to various traffic scenarios. This approach greatly enhances both vehicle control and safety, but unfortunately, chatting with SMC might have a negative effect on ride comfort [19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Performance of Active Suspension Systems Through Adaptive Control

Al-Ashtari

2024

JESA

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“…Chen et al [7] propose an adaptive sliding controller for controlling a non-autonomous 1/4 car suspension system with time-varying loadings, the results of simulation indicate the proposed controller gives significant performance improvement compared with the pure passive design from the viewpoint of ride comfort. Based on robust sliding mode control, Qin et al [8] use ICA evolutionary algorithm to optimize the vertical acceleration of passengers. Yoshimura [9][10] has done a lot of research on the fuzzy control of active suspension and semi-active suspension and achieves satisfactory results.…”

Section: Introductionmentioning

confidence: 99%

ANFIS-PID Control of Active Suspension for the Full-Scale Straddle Monorail Model

Liang

Zhou

2020

mech

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In order to improve the ride comfort straddle-type monorail, based on the full-scale straddle-type monorail model with 38-DOF, combined with the modular control thought and adaptive neural fuzzy inference system(ANFIS) control theory, the ANFIS-PID controller is designed, in which the vertical vibration velocity and acceleration, pitching angular velocity and angular acceleration, rolling angular velocity and angular acceleration are taken as inputs and the actuator force of active suspension as outputs. The results show that compared with existing passive suspension, the root mean squared values(RMS) of vertical acceleration, pitching angular acceleration and rolling angular acceleration of active suspension is significantly reduced, respectively. And the vibration amplitude below 10Hz frequency range is suppressed, which is the human sensitivity frequency. Active suspension controlled by ANFIS-PID can be used as a way to improve the ride comfort of straddle monorail vehicles.

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A Study on Sliding Mode Control for Active Suspension System

Cited by 4 publications

References 16 publications

Adaptive sliding mode-based active disturbance rejection control for vehicle suspension control

Adaptive sliding mode-based active disturbance rejection control for vehicle suspension control

Enhancing the Performance of Active Suspension Systems Through Adaptive Control

ANFIS-PID Control of Active Suspension for the Full-Scale Straddle Monorail Model

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