Validation of a Newly Proposed 3D Flexible Ring Tire Model Through Adams FTire Full-Vehicle Simulations

2018 ◽  
Author(s):  
Bin Li ◽  
Xiaobo Yang ◽  
James Yang
Keyword(s):  
Ride Comfort ◽  
Vertical Direction ◽  
Tire Model ◽  
Vehicle Model ◽  
Suspension Spring ◽  
Full Vehicle ◽  
Rigid Attachment ◽  
Vertical Displacements ◽  
Tire Forces ◽  
Flexible Ring

Flexible ring tire models are widely used for vehicle durability and ride comfort analysis. In our previous research, a novel 3D flexible ring tire model was proposed, and the model’s parameter identification and predictability were illustrated based on various tire cleat tests. To further demonstrate its capability, this paper applies the tire model in a full-vehicle model for various full vehicle bump tests with different driving speeds and cleat orientations in Matlab programing. The tire model and the full-vehicle model are connected through a suspension system, with the suspension spring and damper along the vertical direction, and rigid attachment along the longitudinal and lateral directions. The predicted results are compared against ADAMS® full-vehicle FTire virtual tests with the same simulation conditions. The comparison variables include tire forces, vertical displacements, and suspension jounce movements. The results provide useful guidance for the design of vehicle suspension.

scholarly journals The Control of an Active Seat Suspension Using an Optimised Fuzzy Logic Controller, Based on Preview Information from a Full Vehicle Model

Vibration ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 20-40 ◽  
Author(s):  
Abdulaziz Alfadhli ◽  
Jocelyn Darling ◽  
Andrew Hillis
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Vertical Direction ◽  
Front Axle ◽  
Rule Base ◽  
Vertical Acceleration ◽  
Vehicle Speed ◽  
Vehicle Model ◽  
Full Vehicle

The use of suspension preview information obtained from a quarter vehicle model (QvM) to control an active seat has been shown by the authors to be very promising, in terms of improved ride comfort. However, in reality, a road vehicle will be subjected to disturbances from all four wheels, and therefore the concept of preview enhanced control should be applied to a full vehicle model. In this paper, different preview scenarios are examined, in which suspension data is taken from all or limited axles. Accordingly, three control strategies are hypothesized—namely, front-left suspension (FLS), front axle (FA), and four wheel (4W). The former utilises suspension displacement and velocity preview information from the vehicle suspension nearest to the driver’s seat. The FA uses similar preview information, but from both the front-left and front-right suspensions. The 4W controller employs similar preview information from all of the vehicle suspensions. To cope with friction non-linearities, as well as constraints on the active actuator displacement and force capabilities, three optimal fuzzy logic controllers (FLCs) are developed. The structure of each FLC, including membership functions, scaling factors, and rule base, was sequentially optimised based on improving the seat effective amplitude transmissibility (SEAT) factor in the vertical direction, using the particle swarming optimisation (PSO) algorithm. These strategies were evaluated in simulation according to ISO 2631-1, using different road disturbances at a range of vehicle forward speeds. The results show that the proposed controllers are very effective in attenuating the vertical acceleration at the driver’s seat, when compared with a passive system. The controller that utilised suspension preview information from all four corners of the car provided the best seat isolation performance, independent of vehicle speed. Finally, to reduce the implementation cost of the “four suspension” controller, a practical alternative is developed that requires less measured preview information.

Decoupling control of active suspension and four-wheel steering based on Backstepping-ADRC with mechanical elastic wheel

2021 ◽  
pp. 095440702110561
Author(s):  
Han Xu ◽  
Youqun Zhao ◽  
Qiuwei Wang ◽  
Fen Lin ◽  
Wei Pi
Keyword(s):  
Ride Comfort ◽  
Active Suspension ◽  
Extended State Observer ◽  
Decoupling Control ◽  
Tire Model ◽  
Extended State ◽  
Full Vehicle ◽  
Elastic Wheel ◽  
Yaw Stability ◽  
Mechanical Elastic Wheel

Mechanical elastic wheel (MEW) has the advantages of explosion-proof and prick-proof, which is conducive to the safety and maneuverability of the vehicle. However, the research on the performance of the full vehicle equipped with MEW is rare. Considering the particular properties of the radial and cornering stiffness of MEW, this paper aims to take into account both ride comfort and yaw stability of the vehicle equipped with the MEW through a nonlinear control method. Firstly, a 9-DOF nonlinear full vehicle model with the MEW tire model is constructed. The tire model is fitted based on experimental data, which corrects the impacts of vertical load on the cornering characteristic of the MEW. Then the full vehicle system is decoupled into four subsystems with a single input and a single output each according to active disturbance rejection control (ADRC) technology. In this process, the coupling relationship between different motions of the original system is regarded as the disturbance. Afterward, a novel nonlinear extended state observer is proposed, which has a similar structure of traditional linear extended state observer but smaller estimation error. Next, the control law of Backstepping-ADRC for different subsystems are derived respectively based on the Lyapunov theory. For the first time, the Backstepping-ADRC method is applied to the decoupling control of four-wheel steering and active suspension systems. Furthermore, the parameters of the controllers are adjusted through a multi-objective optimization scheme. Finally, simulation results validate the effectiveness and robustness of the proposed controller, especially when encountering some disturbances. The indices of vehicle body attitude and ride comfort are improved significantly, and also the yaw stability is guaranteed simultaneously.

Characteristics Analysis of the Automobile with Negative Stiffness Suspension

2013 ◽  
Vol 456 ◽  
pp. 189-192 ◽  
Author(s):  
Xiao Zhen Qu ◽  
Guang Quan Hou ◽  
Hao Liu ◽  
Hui He
Keyword(s):  
Natural Frequency ◽  
Ride Comfort ◽  
Vertical Direction ◽  
Negative Stiffness ◽  
Vehicle Model ◽  
Vehicle Handling ◽  
Characteristics Analysis ◽  
Vibration Transmissibility ◽  
Simulation Results

One new negative stiffness suspension is introduced in this paper. The vehicle with negative stiffness suspension has good ride comfort and handling stability. The natural frequency of system could be reduced in vertical direction by applying negative stiffness suspension. The vehicle model with negative stiffness suspension or not is built in ADAMS. The comparison of simulation results show that the vehicle with negative stiffness suspension could reduce the natural frequency of system and vibration transmissibility, and also improve the vehicle ride comfort and vehicle handling stability.

Research of Automobile Tire Vertical Stiffness Optimization Method on the Basis of ADAMS/Car

2013 ◽  
Vol 561 ◽  
pp. 527-532
Author(s):  
Ze Peng Wang ◽  
Zhen Yu ◽  
Ke Li
Keyword(s):  
Ride Comfort ◽  
Optimization Method ◽  
Vehicle Model ◽  
Vertical Stiffness ◽  
Automobile Tire ◽  
Full Vehicle ◽  
Stiffness Optimization ◽  
Vehicle Impact ◽  
Simulation Results ◽  
The Impact

Because Tire not only impact on the handling stability of vehicle but also impact on the ride comfort, it is more practical significant that tire vertical stiffness parameters on handling stability and ride of vehicle impact is considered synthetically than considering handling stability and ride singly. In this paper, full vehicle model was built on the basis of ADAMS/Car. The vertical stiffness of tire was only changed and other parameters remain unchanged, then full vehicle analysis was carried out to get the simulation curves. The impact of the vertical stiffness of tires on the handling and stability and ride comfort was obtained from the curves of simulation. The tires of optimized vertical stiffness can be obtained from the comparison of simulation results. Analytical results can be conductive to designing and producing the tire.

OPTIMAL FUZZY CONTROL OF A SEMI-ACTIVE SUSPENSION OF A FULL-VEHICLE MODEL USING MR DAMPERS

2005 ◽  
Vol 19 (07n09) ◽  
pp. 1513-1519 ◽  
Author(s):  
HAO WANG ◽  
HAIYAN HU
Keyword(s):  
Optimal Control ◽  
Fuzzy Control ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Angular Acceleration ◽  
Current Control ◽  
Vehicle Model ◽  
Restoring Force ◽  
Mr Dampers ◽  
Full Vehicle

MR (Magneto-Rheological) dampers have turned out to be a promising device for improving the ride comfort of ground vehicles. However, the current control algorithms for MR dampers, including on-off control and clipped-optimal control, are not sufficiently effective. This paper presents a fuzzy control strategy for an MR damper in order to determine the input voltage according to the desired restoring force. It then goes on using this new strategy to reduce the suspension vibration of a full-vehicle model equipped with 4 MR dampers, where the desired restoring forces are determined through the optimal control of suspension system. The numerical simulations indicate that the optimal fuzzy control can effectively reduce the suspension vibration of the full-vehicle model, especially the pitch angular acceleration and the roll angular acceleration of the sprung mass, and offers better ride comfort, running safety and handling stability than the clipped-optimal control. The design of the fuzzy controller is independent of the control system. Furthermore, fuzzy controller can also be extended to other applications of MR dampers, together with other control strategies.

A Full Vehicle Model for the Development of a Variable Camber Suspension

2007 ◽  
Author(s):  
Isao Kuwayama ◽  
Fernando Baldoni ◽  
Federico Cheli
Keyword(s):  
Simulation Models ◽  
Dynamics Simulation ◽  
Tire Model ◽  
Electronic Components ◽  
Vehicle Model ◽  
Active Systems ◽  
Additional Degree ◽  
Vehicle Simulation ◽  
Full Vehicle ◽  
Multi Body

The accuracy of the recent vehicle dynamics simulation technology, represented by Multi-Body Simulations along with reliable tire models, has been remarkably progressing and provides reasonable simulation results not only for conventional passive vehicles but also for advanced active vehicles equipped with electronic components; however, when it comes to advanced vehicle applications with complex active systems, the complexity causes a longer simulation time. On the other hand, even though simple numerical vehicle simulation models such as single-track, two-track and a dozen degrees of freedom (dofs) models can provide less information than those of multi-body models, they are still appreciated by specific applications particularly the ones related to the development of active systems. The advantages of these numerical simulation models lie in the simulation platform, namely the Matlab/Simulink environment, which is suitable for modeling electronic components. In this paper, an 18 dofs vehicle model has been proposed for the development of a type of active suspension named Variable Camber which has an additional degree of freedom in camber angle direction and a description of the models and some preliminary results are reported: the control strategy for the variable camber suspension will be published ([3]). The model can reproduce a passive vehicle with a passive suspension as well; all the necessary dimensions, parameters, and physical properties are derived from a specific multi-body full vehicle model which has been fully validated with respect to a real one on the track. As for a tire model, Magic Formula 5.2 has been implemented on both the numerical and the multi-body vehicle models respectively so that the same tire model can be applied.

The Analysis of Electric Vehicle Ride Comfort Test Simulation Based on the Adams/Car

2012 ◽  
Vol 569 ◽  
pp. 552-555
Author(s):  
Xin Fan ◽  
Chun Hu
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort ◽  
National Standard ◽  
Vehicle Model ◽  
Random Input ◽  
Maximum Acceleration ◽  
Suspension Spring ◽  
Pulse Input ◽  
Simulation Based ◽  
Input Test

According to the national standard on electric vehicle model, pulse input test and random input test were conducted. The results show that: at different speeds through the triangular bump, its maximum acceleration is far less than 31.44m2/s, there is no harm to the driver's health; random input road ride comfort simulation trials has similar results, with the improving speed, the acceleration rms value of the driver's seat increases, but the driver will not feel uncomfortable. In addition, it was analyzed the influence of front and rear suspension spring stiffness and vibration-damper damping on the vehicle ride comfort, and increasing or decreasing of each parameter affect the trend on the vehicle's ride comfort.

A non-linear vehicle dynamics model for accurate representation of suspension kinematics

2014 ◽  
Vol 229 (6) ◽  
pp. 1002-1014 ◽  
Author(s):  
Prashanth KR Vaddi ◽  
Cheruvu S Kumar
Keyword(s):  
Vehicle Dynamics ◽  
Degrees Of Freedom ◽  
Normal Force ◽  
Dynamics Model ◽  
Vehicle Model ◽  
Handling Performance ◽  
Suspension Spring ◽  
Full Vehicle ◽  
Non Linear ◽  
Dynamics Models

A non-linear full vehicle model for simulation of vehicle ride and handling performance is proposed. The model effectively estimates the suspension spring compressions, thus improving the accuracy of normal force calculations. This is achieved by developing models for suspension kinematics, which are then integrated with the commonly used 14 degrees of freedom vehicle dynamics models. This integrated model effectively estimates parameters like camber angles, toe angles and jacking forces, which are capable of significantly affecting the handling performance of the vehicle. The improvements in the accuracy of spring compressions help in simulating the effects of non-linear suspension elements, and the accuracy of handling simulation is enhanced by the improvements in normal force estimates. The model developed in Simulink is validated by comparing the results to that from ADAMS car.

Robust Handling Performance Against Weight Variation for Light Weight Vehicle

2014 ◽  
Author(s):  
Kyosuke Takekoshi ◽  
Yusuke Udagawa ◽  
Taichi Shiiba
Keyword(s):  
Vehicle Body ◽  
Design Parameters ◽  
Rolling Motion ◽  
Light Weight ◽  
Tire Model ◽  
Vehicle Model ◽  
Handling Performance ◽  
Weight Variation ◽  
Tire Forces ◽  
The Relationship

This paper addresses the suitable design parameter for a light weight vehicle to achieve the robust handling performance against the weight variation. Running simulations were conducted to evaluate the effect of the weight variation on the handling performance. The target vehicle was a 5-seater passenger car and its weight was 600 kg. A 3-DOF vehicle model was used with which the rolling motion of a vehicle body during cornering can be considered to verify the relationship between the handling performance, design parameters, and the weight variation of the vehicle. The Magic Formula tire model was used to express the non-linearity of lateral tire forces depending on the vertical tire forces, which vary with the rolling motion of the vehicle. The handling performance was evaluated with steady-state cornering simulations and pulse response simulations.

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