Road excitation predictive discrete-time sliding mode control of vehicle suspension system

2016 ◽  
Author(s):  
Yu Zhang ◽  
Chenchen Yuan ◽  
Zhenning Yu
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Mode Control ◽  
Road Excitation ◽  
Vehicle Suspension System

scholarly journals Comparative Analysis of Different Model-Based Controllers Using Active Vehicle Suspension System

Algorithms ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 10 ◽  
Author(s):  
Yumna Shahid ◽  
Minxiang Wei
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Linear Quadratic ◽  
Passive Suspension ◽  
Mode Control ◽  
Uncertain Dynamics ◽  
Passive Suspension System ◽  
Vehicle Suspension System

This paper deals with the active vibration control of a quarter-vehicle suspension system. Damping control methods investigated in this paper are: higher-order sliding mode control (HOSMC) based on super twisting algorithm (STA), first-order sliding mode control (FOSMC), integral sliding mode control (ISMC), proportional integral derivative (PID), linear quadratic regulator (LQR) and passive suspension system. Performance comparison of different active controllers are analyzed in terms of vertical displacement, suspension travel and wheel deflection. The theoretical, quantitative and qualitative analysis verify that the STA-based HOSMC exhibits better performance as well as negate the undesired disturbances with respect to FOSMC, ISMC, PID, LQR and passive suspension system. Furthermore, it is also robust to intrinsic bounded uncertain dynamics of the model.

scholarly journals Sliding Mode Control for Active Suspension System with Data Acquisition Delay

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Uiliam Nelson L. T. Alves ◽  
José Paulo F. Garcia ◽  
Marcelo C. M. Teixeira ◽  
Saulo C. Garcia ◽  
Fernando B. Rodrigues
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Control Strategy ◽  
Continuous Time ◽  
Sliding Mode ◽  
Experimental Tests ◽  
Active Suspension ◽  
Suspension System ◽  
Control Technique ◽  
Mode Control

This paper addresses the problem of control of an active suspension system accomplished using a computer. Delay in the states due to the acquisition and transmission of data from sensors to the controller is taken into account. The proposed control strategy uses state predictors along with sliding mode control technique. Two approaches are made: a continuous-time and a discrete-time control. The proposed designs, continuous-time and discrete-time, are applied to the active suspension module simulator from Quanser. Results from computer simulations and experimental tests are analyzed to show the effectiveness of the proposed control strategy.

scholarly journals Fuzzy Sliding Mode Control of Vehicle Magnetorheological Semi-Active Air Suspension

2021 ◽  
Vol 11 (22) ◽  
pp. 10925
Author(s):  
Gang Li ◽  
Zhiyong Ruan ◽  
Ruiheng Gu ◽  
Guoliang Hu
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mr Damper ◽  
Suspension System ◽  
System Stability ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Air Suspension ◽  
Road Excitation ◽  
Fuzzy Sliding Mode

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR damper used in the semi-active air suspension system was tested and analyzed. Based on the experimental data, the genetic algorithm was used to identify the parameters of the improved hyperbolic tangent model, which was derived for the MR damper. At the same time, an adaptive neuro fuzzy inference system (ANFIS) was used to build the reverse model of the MR damper. The model of a quarter vehicle semi-active air suspension system equipped with a MR damper was established. Aiming at the uncertainty of the air suspension system, fuzzy control was used to adjust the boundary layer of the sliding mode control, which can effectively suppress the influence of chattering on the control accuracy and ensure system stability. Taking random road excitation and impact road excitation as the input signal, the simulation analysis of passive air suspension, semi-active air suspension based on SMC and FSMC was carried out, respectively. The results show that the semi-active air suspension based on FSMC has better vibration attenuating performance and ride comfort.

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