Improving Vehicle Lateral Stability Based on Variable Stiffness and Damping Suspension System via MR Damper

2014 ◽  
Vol 63 (3) ◽  
pp. 1071-1078 ◽  
Author(s):  
Yanhai Xu ◽  
Mehdi Ahmadian ◽  
Renyun Sun
2016 ◽  
Vol 836 ◽  
pp. 31-36 ◽  
Author(s):  
Unggul Wasiwitono ◽  
Agus Sigit Pramono ◽  
I. Nyoman Sutantra ◽  
Yunarko Triwinarno

The variable stiffness and damping (VSVD) suspension system offers an interesting option to improve driver comfort in an energy efficient way. The aim of this study is to analyze the influence of the spring ratio on the VSVD. The realization of the VSVD is obtained by the application of variable damping with magnetorheological (MR) damper. In this study, the nonlinear damping force characteristic of the MR damper is modeled with the Bouc-Wen model and the road disturbance is modeled by a stationary random process with road displacement power spectral density. It is shown from simulation that VSVD has a potential benefit in improving performance of vehicle suspension.


2012 ◽  
Vol 226-228 ◽  
pp. 584-589 ◽  
Author(s):  
Gong Yu Pan ◽  
Fang Qiang Fan

Based on the semi-active suspension system with variable stiffness and damping, the full vehicle model was established in Adams/Car software, which included front suspension and rear suspension with variable stiffness and damping, steering system, car body and tires model. The variable universe fuzzy controller of semi-active suspension was designed according to variable universe fuzzy theory, which was compared with the traditional fuzzy controller. The co-simulation model was built by Matlab/Simulink and Adams/Car software. Then the model was simulated and analyzed in the inputs of random road and roof road. The results of the co-simulation show that, compared with the full vehicle model with passive suspension, the full vehicle model with variable stiffness and damping semi-active suspension effectively reduced the vibration of car body and improved the vehicle ride quality, and the variable universe fuzzy controller is better than the traditional fuzzy controller in decreasing vibration.


2015 ◽  
Vol 24 (8) ◽  
pp. 085021 ◽  
Author(s):  
Shuaishuai Sun ◽  
Jian Yang ◽  
Weihua Li ◽  
Huaxia Deng ◽  
Haiping Du ◽  
...  

Author(s):  
Olugbenga M. Anubi ◽  
Carl D. Crane

This paper presents the control design and analysis of a non-linear model of a MacPherson suspension system equipped with a magnetorheological (MR) damper. The model suspension considered incorporates the kinematics of the suspension linkages. An output feedback controller is developed using an ℒ2-gain analysis based on the concept of energy dissipation. The controller is effectively a smooth saturated PID. The performance of the closed-loop system is compared with a purely passive MacPherson suspension system and a semi-active damper, whose damping coefficient is tunned by a Skyhook-Acceleration Driven Damping (SH-ADD) method. Simulation results show that the developed controller outperforms the passive case at both the rattle space, tire hop frequencies and the SH-ADD at tire hop frequency while showing a close performance to the SH-ADD at the rattle space frequency. Time domain simulation results confirmed that the control strategy satisfies the dissipative constraint.


Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.


Sign in / Sign up

Export Citation Format

Share Document