scholarly journals Model development and simulation of vehicle suspension system with magneto-rheological damper

2021 ◽  
Vol 850 (1) ◽  
pp. 012035
Author(s):  
Sarthak Vaishnav ◽  
Jerry Paul ◽  
R Deivanathan
Keyword(s):  
Model Development ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Matlab Simulation ◽  
Bingham Plastic ◽  
Directional Control ◽  
Magneto Rheological ◽  
Vehicle Suspension System ◽  
Ball Joints

Abstract A vehicle suspension system is designed to maintain directional control (road holding) during manoeuvring or braking while supporting the vehicle’s weight and provide stability (handling). The structure of a suspension system consists of parts connecting the axle to wheel assembly and the chassis of an automobile, thus supporting engine, transmission system and vehicle load. Suspension system components consist of dampening devices, springs, steering knuckles, ball joints and spindles or axles. It could be designed according to a passive, semi-active or active mode of working. For evaluation, this assembly could be modelled as a spring-mass-damper system. The semi-active suspension system has been modelled with a magneto-rheological damper following the Bingham plastic theory. In this paper, the performance of a passive and a semi-active suspension of a quarter car model are compared by MATLAB simulation. Thus, a better suspension system is found out by simulating with different road conditions.

Research on the Decoupling Control Algorithm of Full Vehicle Semi-Active Suspension

2012 ◽  
Vol 479-481 ◽  
pp. 1355-1360
Author(s):  
Jian Guo Chen ◽  
Jun Sheng Cheng ◽  
Yong Hong Nie
Keyword(s):  
Differential Geometry ◽  
Control Algorithm ◽  
Active Suspension ◽  
Suspension System ◽  
Decoupling Control ◽  
Vehicle Suspension ◽  
Full Vehicle ◽  
Vibration Attenuation ◽  
Magneto Rheological ◽  
Suspension Model

Vehicle suspension is a MIMO coupling nonlinear system; its vibration couples that of the tires. When magneto-rheological dampers are adopted to attenuate vibration of the sprung mass, the damping forces of the dampers need to be distributed. For the suspension without decoupling, the vibration attenuation is difficult to be controlled precisely. In order to attenuate the vibration of the vehicle effectively, a nonlinear full vehicle semi-active suspension model is proposed. Considering the realization of the control of magneto-rheological dampers, a hysteretic polynomial damper model is adopted. A differential geometry approach is used to decouple the nonlinear suspension system, so that the wheels and sprung mass become independent linear subsystems and independent to each other. A control rule of vibration attenuation is designed, by which the control current applied to the magneto-rheological damper is calculated, and used for the decoupled suspension system. The simulations show that the acceleration of the sprung mass is attenuated greatly, which indicates that the control algorithm is effective and the hysteretic polynomial damper model is practicable.

Optimized Fractional-Order Proportional Integral Derivative Controller for Active Vehicle Suspension System Performance Enhancement

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
A.S. Emam ◽  
H. Metered ◽  
A.M. Abdel Ghany
Keyword(s):  
Fractional Order ◽  
Performance Enhancement ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Vehicle Stability ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Vehicle Suspension System

In this paper, an optimal Fractional Order Proportional Integral Derivative (FOPID) controller is applied in vehicle active suspension system to improve the ride comfort and vehicle stability without consideration of the actuator. The optimal values of the five gains of FOPID controller to minimize the objective function are tuned using a Multi-Objective Genetic Algorithm (MOGA). A half vehicle suspension system is modelled mathematically as 6 degrees-of-freedom mechanical system and then simulated using Matlab/Simulink software. The performance of the active suspension with FOPID controller is compared with passive suspension system under bump road excitation to show the efficiency of the proposed controller. The simulation results show that the active suspension system using the FOPID controller can offer a significant enhancement of ride comfort and vehicle stability.

scholarly journals Design of LQG Controller for Active Suspension without Considering Road Input Signals

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Hui Pang ◽  
Ying Chen ◽  
JiaNan Chen ◽  
Xue Liu
Keyword(s):  
Angular Acceleration ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Linear Quadratic ◽  
The Road ◽  
Input Signals ◽  
Vehicle Suspension System ◽  
Weight Coefficients

As the road conditions are completely unknown in the design of a suspension controller, an improved linear quadratic and Gaussian distributed (LQG) controller is proposed for active suspension system without considering road input signals. The main purpose is to optimize the vehicle body acceleration, pitching angular acceleration, displacement of suspension system, and tire dynamic deflection comprehensively. Meanwhile, it will extend the applicability of the LQG controller. Firstly, the half-vehicle and road input mathematical models of an active suspension system are established, with the weight coefficients of each evaluating indicator optimized by using genetic algorithm (GA). Then, a simulation model is built in Matlab/Simulink environment. Finally, a comparison of simulation is conducted to illustrate that the proposed LQG controller can obtain the better comprehensive performance of vehicle suspension system and improve riding comfort and handling safety compared to the conventional one.

scholarly journals Performance Comparison of Various controllers on Semi-Active Vehicle Suspension System

2021 ◽  
Vol 40 ◽  
pp. 01001
Author(s):  
Sarvesh Walavalkar ◽  
Viraj Tandel ◽  
Rahul Sunil Thakur ◽  
V.V Pramod Kumar ◽  
Supriya Bhuran
Keyword(s):  
Active Suspension ◽  
Suspension System ◽  
Internal Model Control ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Inference System ◽  
Proportional Integral ◽  
Suspension Systems ◽  
Model Control ◽  
Vehicle Suspension System

The value of a self-tuning adaptive semi-active control scheme for automotive suspension systems is discussed in this paper. The current vehicle suspension system uses fixed-coeffcient springs and dampers. The ability of vehicle suspension systems to provide good road handling and improve passenger comfort is usually valued. Passive suspension allows you to choose between these two options. Semi-Active suspension(SAS), on the other hand, can provide both road handling and comfort by manipulating the suspension force actuators directly. The semi-active suspension system for a quarter car model is compared to passive and various controllers such as Proportional-Integral, Proportional-Integral-Derivative, Internal model control (IMC)-PID, IMC-PID with filter, FUZZY, and Adaptive-network-based fuzzy inference system(ANFIS) in this analysis. This research could be relevant in the future for designing better car suspension adjustments to eliminate vertical jerks and rolling motion experienced by the vehicle body on bumps and humps.

Modeling an Active Vehicle Suspension System With Application of Digital Displacement Pump Motor

2008 ◽  
Author(s):  
Xubin Song
Keyword(s):  
Control Strategy ◽  
Shock Absorber ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Damping Force ◽  
Independent Components ◽  
Displacement Pump ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System

Vehicle suspension design can be simplified by using compressible fluid (CF) based struts. One single CF strut can provide both spring and damping force instead of two independent components of spring and shock absorber in a traditional vehicle suspension system. With the application of a digital displacement pump motor (DDPM) to modulate the fluid amount in CF struts, a hydraulic based active suspension can be developed. Each vehicle suspension corner (i.e., CF strut) can be linked to (at least) one cylinder of a multiple cylinder DDPM. Each cylinder has two poppet valves to allow exchanging flow between strut and accumulator. Those valves are actively controlled according to a properly designed control strategy. Thus DDPM can regulate the fluid flow to/from the CF struts to create a desired strut force at each suspension corner. This paper focuses on elaborating this novel active suspension using CFS and DDPM, and then presents a model that can well capture the macro-behavior of this new active suspension.

Ride Comfort Enhancement of MR-Damped Vehicle Suspension System Based on Fractional Order Fuzzy PI+D Controller

2019 ◽  
Author(s):  
Ahmed Bashir ◽  
Xiaoting Rui ◽  
Adeel Shehzad
Keyword(s):  
Fractional Order ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Ride Quality ◽  
Vehicle Suspension ◽  
Quality Level ◽  
Vertical Acceleration ◽  
Proportional Integral ◽  
Vehicle Suspension System

Abstract In this paper, a fractional order fuzzy proportional-integral plus differential (FOFPI+D) controller is presented for nonlinear vehicle semi-active suspension system (SAS). The control goal is to meliorate the ride quality level by minimizing the root mean square of vehicle body vertical acceleration (RMSVBVA) and maintaining suspension travel. The FOFPI+D controller is realized using non-integer differentiator operator in fuzzy proportional integral (FPI) controller plus the derivative (D) action with additional fractional differentiator. A dynamical model of four degrees–of–freedom vehicle suspension system incorporating magnetorheological dampers (MRD’s) is derived and simulated using Matlab/Simulink software. The performance of the semi-active suspension system using FOFPI+D controller is compared to MR-passive suspension system. The simulation results prove that semi-active suspension system controlled using FOFPI+D outperform and offer better comfort ride under road profiles such as random and bump.

Optimization of Suspension System using Particle Swarm Optimisation and Genetic Algorithm

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Li Xiujuan ◽  
Wei Liu ◽  
Li Shanhong
Keyword(s):  
Genetic Algorithm ◽  
Simulation Experiment ◽  
Particle Swarm Optimization Algorithm ◽  
Ride Comfort ◽  
Particle Swarm ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Matlab Simulation ◽  
Driving Stability ◽  
Vehicle Suspension System

Advancements in science and technology have made the vehicle driving stability and ride comfort being the hot topic of current research. This paper details the combination of the particle swarm optimization algorithm and genetic algorithm, to optimize the multi-link suspension system. The hybrid algorithm was implemented using MATLAB. Simulation experiment on the dynamic vehicle model of the vehicle suspension system is optimized. Results show that the vehicle ride comfort has been greatly improved.

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