Research on Algorithm to Improve Performance of Multi-Wheel Steering Control System

2014 ◽  
Vol 989-994 ◽  
pp. 3177-3180
Author(s):  
Shao Song Wan ◽  
Jian Cao ◽  
Qun Song Zhu ◽  
Cong Yan
Keyword(s):  
Network Performance ◽  
Capacity Utilization ◽  
Steering System ◽  
Steering Wheel ◽  
Response Property ◽  
Steering Control ◽  
Vehicle Handling ◽  
Directional Stability ◽  
Oil Tank ◽  
Input Response

There are many factors that can affect network performance, such as delay, packet loss and capacity utilization. Vehicle handling directional stability has been more and more important, experiments for steering wheel corner step input response, steering oil tank response property, steady state turning and steering angle of all steering wheels were conducted in this paper, the experimental results show that multi-wheel steering system can fulfill its function very well and reach target angle, it provides a new method for researching for the vehicle handling directional stability.

Research on Algorithm to Improve Performance of Fluid-Assisted Polishing

2014 ◽  
Vol 602-605 ◽  
pp. 316-319
Author(s):  
Shao Song Wan ◽  
Jian Cao ◽  
Cong Yan
Keyword(s):  
Steering System ◽  
Steering Wheel ◽  
Response Property ◽  
Work Piece ◽  
Vehicle Handling ◽  
Directional Stability ◽  
Oil Tank ◽  
Input Response ◽  
Basic Experiments ◽  
Polishing Fluid

In present work, the distribution of electric field strength on the surface of work piece was analyzed through ANSYS and theoretical equation. Moreover, the attractive force acting on particles that disperses in ER polishing fluid was calculated. A series of basic experiments were conducted, it is aimed to find out the effective process parameters on the surface roughness using the work piece as electrode. Vehicle handling directional stability has been more and more important, experiments for steering wheel corner step input response, steering oil tank response property, steady state turning and steering angle of all steering wheels were conducted in this paper, the experimental results show that multi-wheel steering system can fulfill its function very well and reach target angle, it provides a new method for researching for the vehicle handling directional stability.

A Model of Driver Steering Control Behavior for Use in Assessing Vehicle Handling Qualities

1993 ◽  
Vol 115 (3) ◽  
pp. 456-464 ◽  
Author(s):  
A. Modjtahedzadeh ◽  
R. A. Hess
Keyword(s):  
Steering System ◽  
Manual Control ◽  
Theoretic Model ◽  
Steering Control ◽  
Vehicle Model ◽  
Vehicle Handling ◽  
Analytical Technique ◽  
Handling Qualities ◽  
Control Behavior ◽  
Lane Keeping

A control theoretic model of driver steering control behavior is presented. The resulting model is shown capable of producing driver/vehicle steering responses which compare favorably with those obtained from driver simulation. The model is simple enough to be used by engineers who may not be manual control specialists. The model contains both preview and compensatory steering dynamics. An analytical technique for vehicle handling qualities assessment is briefly discussed. Driver/vehicle responses from two driving tasks evaluated in a driver simulator are used to evaluate the overall validity of the driver/vehicle model. Finally, the model is exercised in predictive fashion in the computer simulation of a lane keeping task on a curving roadway where the simulated vehicle possessed one of three different steering systems: a conventional two-wheel steering system and a pair of four-wheel steering systems.

An Experiment on Electric Power Steering (EPS) System of a CAR

2011 ◽  
Vol 110-116 ◽  
pp. 4941-4950
Author(s):  
M. Akhtaruzzaman ◽  
Norrul’ Aine Binti Mohd Razali ◽  
Mohd. Mahbubur Rashid ◽  
Amir Akramin Shafie
Keyword(s):  
Electric Power ◽  
Control Strategies ◽  
Electronic System ◽  
Steering System ◽  
Control Technique ◽  
Steering Wheel ◽  
Steering Control ◽  
Electric Power Steering ◽  
Power Steering ◽  
Steering Effort

This paper describes an experiment on Electric Power Steering (EPS) system of a car. Nowadays EPS system can be considered as a Mechatronics system that reduces the amount of steering effort by directly applying the output of an electric motor to the steering system. In this paper, the constitutions, operational mechanism and control strategies of EPS system are introduced. A potentiometer measures driver input to the steering wheel, both direction and rate of turn. This information is fed into a microcontroller that determines the desired control signals to the motor to produce the necessary torque needed to assist. Although an electro hydraulic power assisted steering system can be used to reduce the fuel consumption, but the maximum benefit can be obtained if electronic system is applied instead of the hydraulic mechanism. The paper shows that a good power steering control technique is achieved by designing a Mechatronics system. The experimental results for the designed EPS system are also analyzed in this paper.

Influence of Front Wheel Alignment Parameters on Handling Stability of Vehicle Based on Joint Simulation

2014 ◽  
Vol 716-717 ◽  
pp. 832-836
Author(s):  
Hui Wang ◽  
Xiao Zhi Wang
Keyword(s):  
Steering System ◽  
Front Wheel ◽  
Front Axle ◽  
Lateral Acceleration ◽  
Steering Wheel ◽  
Initial Alignment ◽  
Vehicle Handling ◽  
Joint Simulation ◽  
Hydraulic Steering ◽  
Lane Change Test

This paper uses AMESim software to establish simulation model of SGA170 mine truck full hydraulic steering system, and validates the correctness of the proposed model. Through the joint simulation, vehicle steady circular test, double lane change test and steering wheel angle input test are verified. By changing the initial alignment parameters of front axle, vehicle handling performance are tested through the same simulation test, and yaw velocity, and the curves of lateral acceleration and vehicle roll angle describing vehicle handling stability are obtained, which provides a reference for the design and improvement of the similar mine truck selection.

scholarly journals Research on Control of Intelligent Vehicle Human-Simulated Steering System Based on HSIC

2019 ◽  
Vol 9 (5) ◽  
pp. 905 ◽  
Author(s):  
Haobin Jiang ◽  
Huan Tian ◽  
Yiding Hua ◽  
Bin Tang
Keyword(s):  
Intelligent Control ◽  
Control Algorithm ◽  
Rapid Prototype ◽  
Steering System ◽  
Steering Wheel ◽  
Intelligent Vehicle ◽  
System Control ◽  
Steering Control ◽  
Nonlinear Fitting ◽  
Resistance Torque

The experienced drivers with good driving skills are used as objects of learning, and road steering test data of skilled drivers are collected in this article. First, a nonlinear fitting was made to the driving trajectory of skilled driver in order to achieve human-simulated control. The segmental polynomial expression was solved for two typical steering conditions of normal right-steering and U-turn, and the hp adaptive pseudo-spectral method was used to solve the connection problem of the vehicle segmental driving trajectory. Second, a new Electric Power Steering (EPS) system was proposed, and the intelligent vehicle human-simulated steering system control model based on human simulated intelligent control (HSIC) was established in Simulink/Carsim joint simulation environment to simulate and analyze. Finally, in order to further verify the effectiveness of the proposed algorithm in this article, an intelligent vehicle steering system test bench with a steering resistance torque simulation device was built, and the dSPACE rapid prototype controller was used to realize human-simulated intelligent control law. The results show that the human-simulated steering control algorithm is superior to the traditional proportion integration differentiation (PID) control in the tracking effect of the steering characteristic parameters and passenger comfort. The steering wheel angle and torque can better track the angle and torque variation curve of real vehicle steering experiment of the skilled driver, and the effectiveness of the intelligent vehicle human-simulated steering control algorithm based on HSIC proposed in this article is verified.

scholarly journals Analysis of the loss of vehicle motion stability in the conditions of steering control disturbance

2019 ◽  
Vol 254 ◽  
pp. 04001
Author(s):  
Marian Dudziak ◽  
Andrzej Lewandowski ◽  
Michał Śledziński
Keyword(s):  
Traffic Accidents ◽  
Steering System ◽  
Simulation Software ◽  
Steering Wheel ◽  
Motion Path ◽  
Steering Control ◽  
Traffic Incidents ◽  
Motion Stability ◽  
Wheel Turning ◽  
Vehicle Motion

Disturbances in the vehicle motion may be caused by different factors and in many cases are the reason for dangerous traffic incidents. Disturbances within the human-vehicle system are particularly hazardous. An innovative method was designed for analyzing and simulating the process of loss of vehicle motion stability after interference in the steering system, e.g. by acting on the steering wheel by the passenger. The subject of the study is the theoretical and experimental analysis of the vehicle motion path kinematics together with the duration of the disturbance, driver’s reaction time and steering wheel turning angles. PC-Crash simulation software was employed for the purpose of studying the disturbance characteristics and their influence on the loss of vehicle motion stability. It is recognized that the studied issues are as yet poorly understood, the presented results expand our knowledge base in this area and can be employed for the purpose of analysis of actual traffic accidents.

scholarly journals Establishment and tracking control of trapezoidal steering wheel angle model for autonomous vehicles

2020 ◽  
Vol 17 (6) ◽  
pp. 172988142098278
Author(s):  
Haobin Jiang ◽  
Aoxue Li ◽  
Xinchen Zhou ◽  
Yue Yu
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Steering System ◽  
Free Play ◽  
Driver Model ◽  
Steering Wheel ◽  
Feature Points ◽  
Steering Control ◽  
Power Steering ◽  
Nonlinear Vehicle Model

Human drivers have rich and diverse driving characteristics on curved roads. Finding the characteristic quantities of the experienced drivers during curve driving and applying them to the steering control of autonomous vehicles is the research goal of this article. We first recruited 10 taxi drivers, 5 bus drivers, and 5 driving instructors as the representatives of experienced drivers and conducted a real car field experiment on six curves with different lengths and curvatures. After processing the collected driving data in the Frenet frame and considering the free play of a real car’s steering system, it was interesting to observe that the shape enclosed by steering wheel angles and the coordinate axis was a trapezoid. Then, we defined four feature points, four feature distances, and one feature steering wheel angle, and the trapezoidal steering wheel angle (TSWA) model was developed by backpropagation neural network with the inputs were vehicle speeds at four feature points, and road curvature and the outputs were feature distances and feature steering wheel angle. The comparisons between TSWA model and experienced drivers, model predictive control, and preview-based driver model showed that the proposed TSWA model can best reflect the steering features of experienced drivers. What is more, the concise expression and human-like characteristic of TSWA model make it easy to realize human-like steering control for autonomous vehicles. Lastly, an autonomous vehicle composed of a nonlinear vehicle model and electric power steering (EPS) system was established in Simulink, the steering wheel angles generated by TSWA model were tracked by EPS motor directly, and the results showed that the EPS system can track the steering angles with high accuracy at different vehicle speeds.

Differential steering-based electric vehicle lateral dynamics control with rollover consideration

2019 ◽  
Vol 234 (3) ◽  
pp. 338-348
Author(s):  
Hui Jing ◽  
Rongrong Wang ◽  
Cong Li ◽  
Jinxiang Wang
Keyword(s):  
Electric Vehicles ◽  
Measurement Problem ◽  
Low Cost ◽  
Steering System ◽  
Front Wheel ◽  
Steering Control ◽  
Lateral Velocity ◽  
Lateral Dynamics ◽  
Vehicle Rollover ◽  
Differential Steering

This article investigates the differential steering-based schema to control the lateral and rollover motions of the in-wheel motor-driven electric vehicles. Generated from the different torque of the front two wheels, the differential steering control schema will be activated to function the driver’s request when the regular steering system is in failure, thus avoiding dangerous consequences for in-wheel motor electric vehicles. On the contrary, when the vehicle is approaching rollover, the torque difference between the front two wheels will be decreased rapidly, resulting in failure of differential steering. Then, the vehicle rollover characteristic is also considered in the control system to enhance the efficiency of the differential steering. In addition, to handle the low cost measurement problem of the reference of front wheel steering angle and the lateral velocity, an [Formula: see text] observer-based control schema is presented to regulate the vehicle stability and handling performance, simultaneously. Finally, the simulation is performed based on the CarSim–Simulink platform, and the results validate the effectiveness of the proposed control schema.

Driver Steering Control and a New Perspective on Car Handling Qualities

2005 ◽  
Vol 219 (10) ◽  
pp. 1041-1051 ◽  
Author(s):  
R S Sharp
Keyword(s):  
White Noise ◽  
Gaussian White Noise ◽  
Design Parameters ◽  
Steering Wheel ◽  
Steering Control ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Handling Qualities ◽  
Gaussian White Noise Process ◽  
Low Pass

The article is about steering control of cars by drivers, concentrating on following the lateral profile of the roadway, which is presumed visible ahead of the car. It builds on previously published work, in which it was shown how the driver's preview of the roadway can be combined with the linear dynamics of a simple car to yield a problem of discrete-time optimal-linear-control-theory form. In that work, it was shown how an optimal ‘driver’ of a linear car can convert the path preview sample values, modelled as deriving from a Gaussian white-noise process, into steering wheel displacement commands to cause the car to follow the previewed path with an attractive compromise between precision and ease. Recognizing that real roadway excitation is not so rich in high frequencies as white-noise, a low-pass filter is added to the system. The white-noise sample values are filtered before being seen by the driver. Numerical results are used to show that the optimal preview control is unaltered by the inclusion of the low-pass filter, whereas the feedback control is affected diminishingly as the preview increases. Then, using the established theoretical basis, new results are generated to show time-invariant optimal preview controls for cars and drivers with different layouts and priorities. Tight and loose controls, representing different balances between tracking accuracy and control effort, are calculated and illustrated through simulation. A new performance criterion with handling qualities implications is set up, involving the minimization of the preview distance required. The sensitivities of this distance to variations in the car design parameters are calculated. The influence of additional rear wheel steering is studied from the viewpoint of the preview distance required and the form of the optimal preview gain sequence. Path-following simulations are used to illustrate relatively high-authority and relatively low-authority control strategies, showing manoeuvring well in advance of a turn under appropriate circumstances. The results yield new insights into driver steering control behaviour and vehicle design optimization. The article concludes with a discussion of research in progress aimed at a further improved understanding of how drivers control their vehicles.

Effectiveness of the running system of a wheeled vehicle

2020 ◽  
pp. 16-22
Author(s):  
D.A. Dubovik
Keyword(s):  
Steering Wheel ◽  
Steering Control ◽  
Control Effectiveness ◽  
Power Drive ◽  
Running System ◽  
Wheeled Vehicle ◽  
Curvilinear Motion ◽  
Wheeled Vehicles ◽  
System Power ◽  
Effectiveness Coefficient

A method for quantitative assessment of the effectiveness of the running system of wheeled vehicles for the general case of curvilinear motion is proposed. An expression is obtained for calculating the coefficient of efficiency of the running system of a wheeled vehicle, taking into account the parameters of the power and steering wheel drives. The results of evaluating the effectiveness of the running system of an off-road vehicle with a wheel arrangement of 8Ѕ8 and two front steerable axles are presented. Keywords: wheeled vehicle, running system, power drive, drive wheels, steering control, effectiveness, coefficient of efficiency. [email protected]

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