scholarly journals Study on the Stability Control of Vehicle Tire Blowout Based on Run-Flat Tire

2021 ◽  
Vol 12 (3) ◽  
pp. 128
Author(s):  
Xingyu Wang ◽  
Liguo Zang ◽  
Zhi Wang ◽  
Fen Lin ◽  
Zhendong Zhao
Keyword(s):  
Mechanical Properties ◽  
Control Strategy ◽  
Performance Optimization ◽  
Stability Control ◽  
Tire Model ◽  
Vehicle Model ◽  
Foundation Model ◽  
Driving Condition ◽  
The Stability ◽  
Discrete Curve

In order to study the stability of a vehicle with inserts supporting run-flat tires after blowout, a run-flat tire model suitable for the conditions of a blowout tire was established. The unsteady nonlinear tire foundation model was constructed using Simulink, and the model was modified according to the discrete curve of tire mechanical properties under steady conditions. The improved tire blowout model was imported into the Carsim vehicle model to complete the construction of the co-simulation platform. CarSim was used to simulate the tire blowout of front and rear wheels under straight driving condition, and the control strategy of differential braking was adopted. The results show that the improved run-flat tire model can be applied to tire blowout simulation, and the performance of inserts supporting run-flat tires is superior to that of normal tires after tire blowout. This study has reference significance for run-flat tire performance optimization.

Study on the stability control strategy of Triphala solution based on the balance of physical stability and chemical stabilities

2018 ◽  
Vol 158 ◽  
pp. 247-256 ◽  
Author(s):  
Hao-zhou Huang ◽  
Sheng-yu Zhao ◽  
Xiu-mei Ke ◽  
Jun-zhi Lin ◽  
Shu-sen Huang ◽  
...  
Keyword(s):  
Control Strategy ◽  
Physical Stability ◽  
Stability Control ◽  
The Stability

scholarly journals Vehicle Stability Control Strategy Based on Recognition of Driver Turning Intention for Dual-Motor Drive Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Shu Wang ◽  
Xuan Zhao ◽  
Qiang Yu
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Stability Control ◽  
Motor Drive ◽  
Vehicle Stability ◽  
Lane Change ◽  
Vehicle Stability Control ◽  
Stability Control System ◽  
The Stability

Vehicle stability control should accurately interpret the driving intention and ensure that the actual state of the vehicle is as consistent as possible with the desired state. This paper proposes a vehicle stability control strategy, which is based on recognition of the driver’s turning intention, for a dual-motor drive electric vehicle. A hybrid model consisting of Gaussian mixture hidden Markov (GHMM) and Generalized Growing and Pruning RBF (GGAP-RBF) neural network is constructed to recognize the driver turning intention in real time. The turning urgency coefficient, which is computed on the basis of the recognition results, is used to establish a modified reference model for vehicle stability control. Then, the upper controller of the vehicle stability control system is constructed using the linear model predictive control theory. The minimum of the quadratic sum of the working load rate of the vehicle tire is taken as the optimization objective. The tire-road adhesion condition, performance of the motor and braking system, and state of the motor are taken as constraints. In addition, a lower controller is established for the vehicle stability control system, with the task of optimizing the allocation of additional yaw moment. Finally, vehicle tests were carried out by conducting double-lane change and single-lane change experiments on a platform for dual-motor drive electric vehicles by using the virtual controller of the A&D5435 hardware. The results show that the stability control system functions appropriately using this control strategy and effectively improves the stability of the vehicle.

Estimation of Vehicle Sideslip Angle Using Strong Tracking SRUKF

2014 ◽  
Vol 614 ◽  
pp. 267-270
Author(s):  
Jian Feng Chen ◽  
Xiao Dong Sun ◽  
Long Chen ◽  
Hao Bin Jiang
Keyword(s):  
Numerical Simulations ◽  
High Speed ◽  
State Observer ◽  
Stability Control ◽  
Vehicle Model ◽  
Sideslip Angle ◽  
Magic Formula ◽  
The Stability ◽  
Accuracy Performance ◽  
Better Than

Sideslip angle is an important parameter for the stability control of high-speed vehicles. In this paper, a novel state observer based on strong tracking SRUKF is presented to estimate the sideslip angle. Besides the strong tracking SRUKF algorithm, a 2-DOF vehicle model and a “Magic Formula” are utilized to construct the state observer. Numerical simulations are implemented to testify on the accuracy performance of estimation based on the strong tracking SRUKF and standard UKF. The results show that the trends using two types of filters are accordant with the theoretic values, and the accuracy of the former is better than the latter.

scholarly journals Research on the Stability Control Strategy of Four-Wheel Independent Driving Electric Vehicle

Engineering ◽  
2017 ◽  
Vol 09 (03) ◽  
pp. 338-350
Author(s):  
Bo Peng ◽  
Huanhuan Zhang ◽  
Peiteng Zhao
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Stability Control ◽  
The Stability

Feasibility Analysis of Open-Loop Rollover Control of Heavy Freight Vehicles

1999 ◽  
Author(s):  
P. J. Liu ◽  
S. Rakheja ◽  
A. K. W. Ahmed
Keyword(s):  
Time Delays ◽  
Three Dimensional ◽  
Steering System ◽  
Stability Control ◽  
Open Loop ◽  
Tire Model ◽  
Vehicle Model ◽  
Braking System ◽  
Instability Control ◽  
Abs Algorithm

Abstract In this paper, a comprehensive three-dimensional heavy vehicle model is developed to investigate the effectiveness of an open-loop roll instability control. The steering system compliance, roll steer, bump steer, ackerman steer and wrap steer are incorporated in the vehicle model, along with comprehensive tire model and ABS algorithm. Time delays due to driver’s reaction and the transportation lag of the braking system are characterized by a variable called reaction delay. The rollover indicators in terms of roll safety factor, tractor and trailer lateral accelerations and roll angles, and the rearmost axle roll angle are investigated for their effectiveness for open-loop roll stability control in various cornering and evasive maneuvers, road conditions, braking efforts, and different reaction delays.

Response control of a floating airport in heading waves with output saturation

2018 ◽  
Vol 25 (3) ◽  
pp. 571-580
Author(s):  
Shuyan Xia ◽  
Daolin Xu ◽  
Haicheng Zhang ◽  
Yousheng Wu
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Stability Control ◽  
Control Law ◽  
Backstepping Method ◽  
Floating Platform ◽  
Nonlinear Dynamic Model ◽  
Floating Structure ◽  
The Stability ◽  
Floating Airport

This paper presents a nonlinear control strategy to stabilize the response of a floating platform in waves. The floating platform consists of multiple floating modules connected in sequence with flexible connectors. A nonlinear dynamic model with a number of controllers is developed for the stability control of the chain-shape floating structure. The backstepping method in conjunction with the Lyapunov stability criteria is proposed to derive the control law for each of the control actuators where the actuator forces are limited with output saturation. The numerical experiments illustrate the feasibility and effectiveness of the control strategy in various conditions of heading waves. The performance of the control method is discussed, especially associated with the saturated output.

Comparison of Control Allocation Algorithms Used in Stability Control of Four In-Wheel-Motors Drive Electric Vehicle

2013 ◽  
Vol 437 ◽  
pp. 669-673 ◽  
Author(s):  
Peng Fei Yang ◽  
Lu Xiong ◽  
Zhuo Ping Yu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Strategies ◽  
Optimization Method ◽  
Stability Control ◽  
The Other ◽  
Control Allocation ◽  
The Stability ◽  
Allocation Algorithms ◽  
Real Vehicle

Design the stability control strategy of four in-wheel-motors drive electric vehicle (EV) based on control allocation. Two kinds of control allocation methods are designed in this paper, one is the quadratic programming (QP), and the other is a simplified optimization method (SOM). Comparing and evaluating the control strategies through the co-simulation with MATLAB software and CARSIM software. The results of the simulation show: both strategies could stabilize the vehicle posture well under critical condition. QP has more accuracy than SOM, and could rebuild the system automatically when the motor fails. But the SOM doesn’t need iteration, could be possible to use in the real vehicle.

Shared Control Strategy for Vehicle Stability on U-Split Road

2019 ◽  
Author(s):  
Liangyao Yu ◽  
Lanie Abi ◽  
Zhenghong Lu ◽  
Yaqi Dai
Keyword(s):  
Control Strategy ◽  
Response Speed ◽  
Steering System ◽  
Stability Control ◽  
Front Wheel ◽  
Shared Control ◽  
Steering Wheel ◽  
Vehicle Dynamic ◽  
Stability Performance ◽  
The Stability

Abstract The steer-by-wire (SBW) system eliminates the mechanical connection between the steering wheel and the carriage wheel. It eliminates various limitations of the traditional steering system, so that the steering ratio of the car can be freely designed and the steering by wire system can achieve good active front wheel steering (AFS) function. In the study of the stability control of vehicles on the μ-split road, there are mainly two methods, one based on vehicle trajectory maintenance and the other based on vehicle dynamic stability control. Both of these control methods have delays, which is not conducive to the trajectory flowing ability of the vehicle when driving on the μ-split road. A shared control strategy is proposed to improve the vehicle’s stability. The purpose of this study is to establish different variable transmission ratio characteristic curves according to the different input signals of the driver and the vehicle, such as angular change speed, steering wheel angle, etc. Based on these conditions, a new model combining driver’s intention with vehicle dynamic model is established, so as to achieve the purpose of judging the stability of vehicle in advance, to reduce the delay time of control and to improve the response speed, which will improve the stability performance of the vehicle.

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