An Evaluation of Sliding Mode Control for Vehicle Suspensions

2002 ◽  
Vol 14 (4) ◽  
pp. 420-428
Author(s):  
Ismail Yuksek ◽  
◽  
Nurkan Yagiz ◽  
Selim Sivrioglu ◽  
◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Vehicle Model ◽  
Passive Suspension ◽  
Vehicle Suspensions ◽  
Mode Control ◽  
Passenger Seat

This study considers a passenger seat mounted half vehicle model using sliding mode control. Three cases are taken into account: a model having passive suspension and an active passenger seat, an active suspension and passive seat combination, and both an active passenger seat and suspension. Bouncing of the passenger due to road input, which is commonly used to slow the vehicles at intersections, is simulated in three cases and the results are compared to select the best combination providing the best ride comfort.

scholarly journals Enhanced Sliding Mode Control for a Nonlinear Active Suspension Full Car Model

2021 ◽  
Vol 1 (4) ◽  
pp. 501-522
Author(s):  
Erliana Samsuria ◽  
Yahaya M. Sam ◽  
Fazilah Hassan
Keyword(s):  
Sliding Mode Control ◽  
Ride Comfort ◽  
Controller Design ◽  
Sliding Mode ◽  
Active Suspension ◽  
Pso Algorithm ◽  
Hydraulic Actuator ◽  
The Road ◽  
Car Model ◽  
Mode Control

This paper delivers findings on optimal robust control studies of nonlinear full car models. A nonlinear active suspension full car model is used, which considers the dynamic of a hydraulic actuator. The investigation on the benefit of using Sliding Mode Control (SMC) structure for the effective trade-off between road handling. The design of SMC in the chassis/internal subsystem is enhanced by modifying a sliding surface based on Proportional-Integral-Derivatives (PID) with the utilization of particle swarm optimization (PSO) algorithm in obtaining the best optimum value of control parameters. The switching control is designed through the Lyapunov function, which includes the boundedness of uncertainties in sprung masses that can guarantee the stability of the control design. The responses of the proposed controller have improved the disturbance rejection up to 60% as compared to the conventional SMC controller design and shown the high robustness to resist the effect of varying the parameter with minimal output deviations. The study proved that the proposed SMC scheme offers an overall effective performance in full car active suspension control to perform a better ride comfort as well as the road handling ability while maintaining a restriction of suspension travel. An intensive computer simulation (MATLAB Simulink) has been carried out to evaluate the effectiveness of the proposed control algorithm under various road surface conditions.

scholarly journals Nonlinear Predictive Sliding Mode Control for Active Suspension System

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Dazhuang Wang ◽  
Dingxuan Zhao ◽  
Mingde Gong ◽  
Bin Yang
Keyword(s):  
Sliding Mode Control ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Approximation Error ◽  
Nonlinear Effects ◽  
Active Suspension ◽  
Adaptive Controller ◽  
Suspension System ◽  
Mode Control ◽  
Stability Performance

An active suspension system is important in meeting the requirements of the ride comfort and handling stability for vehicles. In this work, a nonlinear model of active suspension system and a corresponding nonlinear robust predictive sliding mode control are established for the control problem of active suspension. Firstly, a seven-degree-of-freedom active suspension model is established considering the nonlinear effects of springs and dampers; and secondly, the dynamic model is expanded in the time domain, and the corresponding predictive sliding mode control is established. The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. Finally, the simulation results show that the ride comfort and handling stability performance of the active suspension system is better than that of the passive suspension system and the Skyhook active suspension. Thus, the system can obviously improve the shock absorption performance of vehicles.

scholarly journals Comparative simulation study on two estimation methods and two control strategies for semi-active suspension

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110073
Author(s):  
Wang Xin ◽  
Gu Liang ◽  
Dong Mingming ◽  
Li Xiaolei
Keyword(s):  
Sliding Mode Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Structural Characteristics ◽  
Active Suspension ◽  
Road Surface ◽  
Estimation Methods ◽  
Vehicle Dynamic ◽  
Mode Control ◽  
Computational Overhead

With regard to the structural characteristics of the McPherson suspension system, when a vehicle is being driven on a rough road surface, the force direction of the suspension varies. This poses challenges to the vehicle’s driving safety and handling stability. Based on Lagrangian equations, this paper proposes a new nonlinear semi-vehicle suspension model and presents comparative studies, conducted through simulation, on the estimated accuracy and computational overhead of the small-computational-overhead extended Kalman filter (EKF) and unscented Kalman estimation (UKF) methods, and on the effectiveness of the skyhook sliding mode control (SHSMC) and nonlinear skyhook-sliding mode control (NSHSMC) semi-active suspension control methods. The response of the vehicle to the state estimation algorithm was evaluated through computer simulations using the Carsim vehicle dynamic software. The simulation results reveal that the vehicle dynamic states were satisfactorily estimated when the vehicle was driven on a rough road surface. Compared with the small-computational-overhead EKF algorithm, the estimated results of these variables based on the UKF algorithm have higher accuracy. However, the UKF algorithm requires longer computation time compared with the EKF algorithm. The SHSMC control algorithm achieved greater improvement for the vehicle’s drive handling stability in the 6–10-Hz vibration region compared with the NSHSMC control algorithm. In a high-frequency region over 10Hz, the semi-active suspension controlled by the SHSMC method had a more adverse effect on the driving comfort.

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