Solution of steering angle based on homogeneous transformation

2022 ◽  
pp. 095440702110724
Author(s):  
Farong Kou ◽  
Xinqian Zhang ◽  
Jiannan Xu
Keyword(s):  
Steering System ◽  
Steering Angle ◽  
Matlab Software ◽  
Design And Optimization ◽  
Body Model ◽  
Steering Mechanism ◽  
Wheel Alignment ◽  
Geometric Relation ◽  
Function Expression ◽  
Multi Body

Steering Angle is related to the design and optimization of steering mechanism and suspension, but it is not equal to the angle of knuckle around kingpin because of the existence of wheel alignment parameters. To calculate the steering angle, this paper derives based on homogeneous transformation its function expression by analyzing spatial geometric relation between the two angles and calculating coordinates related to steering trajectory of wheel center. Then, multi-body model of McPherson suspension with steering system is built and the calculation correctness is verified by comparing the function curve plotted by MATLAB software with the curve simulated by Adams/Car software. The calculation and simulation indicate that between the two angles, there is a ratio which is related to wheel alignment parameters and greater than 1.

Study and Simulation on Truck Front Suspension Using ADAMS

2013 ◽  
Vol 433-435 ◽  
pp. 2235-2238
Author(s):  
Wei Ning Bao
Keyword(s):  
System Dynamics ◽  
Mechanical System ◽  
Steering System ◽  
Front Wheel ◽  
System Model ◽  
Simulation Test ◽  
Front Suspension ◽  
Body Dynamics ◽  
Wheel Alignment ◽  
Multi Body

The mechanical system dynamics software,ADAMS,is used to establish multi-body dynamics system model for a truck front suspension and steering system. Through the simulation test of wheel travel, front wheel alignment parameters changing along with the wheel travel was obtained.

Integrated Steering Systems to Enhance Manoeuvrability: Technical Note

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
M. Palanivendhan ◽  
U. Banwar ◽  
S. Vyas ◽  
S. Bohra
Keyword(s):  
Dynamic Condition ◽  
Rolling Resistance ◽  
Steering System ◽  
Technical Note ◽  
Slow Speed ◽  
Steering Angle ◽  
Turning Angle ◽  
Steering Mechanism ◽  
Single Vehicle ◽  
Steering Torque

Most vehicles today employ conventional steering system where the front wheels are solely responsible for steering the vehicle, due to this the rear wheels remain dependent of the front wheels in the dynamic condition which is not allowing the vehicle to reach its maximum potential. On the other hand, in a four-wheel steering system the rear wheels along with the front wheels steer the vehicle improving its manoeuvrability. Four wheels steering also produces better acceleration as power is distributed to all the four-wheels enhancing the net traction and reducing the overall rolling resistance. Vehicles today are designed to under-steer a little with a steering ratio ranging between 14 and 22, this phenomenon fails in few scenarios where it takes longer to manoeuvre a vehicle in case of lane emergencies. Implementing in-phase and counter-phase steering mechanisms in a vehicle allow sharper turn, reduces tire wear and improves the overall manoeuvrability of the vehicle. Factors like steering torque, turning angle and velocity of the vehicle are taken into consideration for devising a proper method to shift between different steering modes. The input from steering angle and torque at a certain speed, allows the vehicle to choose between the crabs, parallel or counter steering mechanism during a turn for best performance. Thereby, integrating these mechanisms in a single vehicle would invariably stabilize and provide a better control to the driver in high as well as slow speed conditions.

The Design and Performance Analysis of Multi-Axle Dynamic Steering System

2010 ◽  
Vol 29-32 ◽  
pp. 756-761
Author(s):  
Shu Feng Wang ◽  
Jun You Zhang
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Steering System ◽  
Vehicle Model ◽  
Steering Angle ◽  
Dynamic Steering ◽  
Full Vehicle ◽  
Stability Performance ◽  
Steering Mechanism ◽  
And Performance

In order to improve vehicle steering performance, Multi-axle dynamic steering technology is put forward. Because of simple and low cost, the mechanical dynamic steering mechanism is suitable for heavy vehicle. In order to design ideal steering mechanism, the principle of dynamic steering mechanism was analyzed. Based on theories of multi-axle dynamic steering and vehicle dynamic, the steering angle relationships of different axles were analyzed. Taken a vehicle as an example, the corresponding steering mechanism was designed. Full vehicle model was established and handling stability performance was simulated. The results show that the mechanical dynamic steering vehicle can effectively improve vehicle agility performance at low speed and stability at high speed.

PROJECT ON ELECTRONIC STEERING SYSYTEM

2018 ◽  
Vol 4 (5) ◽  
pp. 7
Author(s):  
Shivam Dwivedi ◽  
Prof. Vikas Gupta
Keyword(s):  
Steering System ◽  
Essential Elements ◽  
Variable Pressure ◽  
Passenger Cars ◽  
Control Techniques ◽  
Steering Mechanism ◽  
Dynamics And Control ◽  
Active Research ◽  
Electronic Steering ◽  
And Control

As the four-wheel steering (4WS) system has great potentials, many researchers' attention was attracted to this technique and active research was made. As a result, passenger cars equipped with 4WS systems were put on the market a few years ago. This report tries to identify the essential elements of the 4WS technology in terms of vehicle dynamics and control techniques. Based on the findings of this investigation, the report gives a mechanism of electronically controlling the steering system depending on the variable pressure applied on it. This enhances the controlling and smoothens the operation of steering mechanism.

Vehicle Stability Control on Tire Burst Steering and Braking Condition With Active Steering System

2018 ◽  
Author(s):  
Yaqi Dai ◽  
Jian Song ◽  
Liangyao Yu
Keyword(s):  
Control Strategy ◽  
Steering System ◽  
Stability Control ◽  
Steering Angle ◽  
Tire Force ◽  
Vehicle Stability Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Control Layer ◽  
Yaw Moment

By analyzing the key safety problems under the front-outside-tire burst steering condition, a vehicle stability control strategy is proposed in this paper, which is based on active front steering and differential braking systems. Taken both the handling stability and safety into account, we divided the whole control strategy into two layers, which are yaw moment control layer and the additional steering angle & tire force distribution layer. To solve the similar linear problem concisely, the LQR control is adopted in the yaw moment control layer. To achieve the goal of providing enough additional lateral force and yaw moment while keeping the burst tire in appropriate condition, the additional steering angle provided by active front steering system and the tire force distribution was adjusted step by step. To test the proposed control strategy performance, we modelling a basic front-outside-tire burst steering condition, in which the tire blows out once the vertical pressure reach the predefined critical value. Through simulation on different adhesion coefficient road, the control strategy proposed in this paper performance quite better compare with the uncontrolled one in aspect of movement, burst tire protection, handling stability.

scholarly journals Design of steering system of a buggy

2020 ◽  
Vol 327 ◽  
pp. 03004
Author(s):  
D. Santana Sanchez ◽  
A. Mostafa
Keyword(s):  
Carrying Capacity ◽  
Steering System ◽  
Nonlinear Finite Element ◽  
Load Carrying Capacity ◽  
Dynamic Effects ◽  
Flexural Behaviour ◽  
Steering Angle ◽  
Load Carrying ◽  
And Performance ◽  
Good Agreement

The present paper discusses the design analysis and limitations of the steering system of a buggy. Many geometrical and performance characteristics of the designed steering system were considered to address the kinematic constraints and load carrying capacity of the steering elements. Ackremann geometry approach was used to assess the limiting steering angle, while Lewis bending formula with the inclusion of dynamic effects was employed to characterise the flexural properties of the rack and pinion steering system. Analytical results were numerically verified using ABAQUS/Explicit nonlinear finite element (FE) package. Good agreement has been achieved between analytical and numerical results in predicting the flexural behaviour of the steering rack and pinion system.

A critical review on automation of steering mechanism of load haul dump machine

2019 ◽  
Vol 234 (2) ◽  
pp. 160-182
Author(s):  
Sreeharsha Rowduru ◽  
Niranjan Kumar ◽  
Ajit Kumar
Keyword(s):  
Critical Review ◽  
Tracking Error ◽  
Steering System ◽  
Pictorial Representation ◽  
Research Gaps ◽  
Steering Mechanism ◽  
Different Types ◽  
Automatic Steering ◽  
Complete Automation ◽  
Future Work

This article presents a brief note on the evolution of steering mechanisms and more emphasized on articulated steering system of the load haul dump machine. In this respect, pictorial representation of the evolution of steering mechanisms for on-road and articulated steering mechanisms of the load haul dump machine is made from the available literature. Critical review on basic elements required for the complete automation of the load haul dump vehicle steering system is presented. Different types of controllers for path tracking error minimization of the scale-modeled or simulated model of the load haul dump steering system are tabulated. Few case studies stimulating the complete automation of the load haul dump steering system employed on the field are also discussed. Challenges and some research gaps in making fully automated steering system of the load haul dump machine are identified in this review article. At the end, based on the critical review, some novel methods for making the fully automated steering system of the load haul dump machine is provided, which is the potential future work for the design and development of feasible automatic steering system.

scholarly journals Rigid-flexible coupled dynamics analysis of 3-revolute-prismatic-spherical parallel robot based on multi-software platform

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401982645 ◽  
Author(s):  
Haitao Luo ◽  
Jia Fu ◽  
Lichuang Jiao ◽  
Ning Chen ◽  
Tingke Wu
Keyword(s):  
Computer Technology ◽  
Maximum Stress ◽  
Maximum Error ◽  
Parallel Robot ◽  
Mechanical Analysis ◽  
Response Analysis ◽  
Analysis Method ◽  
Software Platform ◽  
Design And Optimization ◽  
Multi Body

Kinematics and dynamics are the most important and basic tool for robot research. With the help of computer technology and the respective advantages of three kinds of software, a new method of co-simulation of parallel robot based on multi-platform is proposed, and the mechanical model of multi-body system of 3-revolute-prismatic-spherical parallel robot is established. According to the mechanical analysis of the parallel robot, the rigid-flexible coupling analysis method is adopted. The displacement error shows a periodic change with a period of 4.2 s and the maximum error is [Formula: see text]. The dangerous part of the structure is the root of the lower link, and its maximum stress is 202.64 MPa less than the yield strength of the material. The multi-software platform co-simulation improves the accuracy of the dynamic response analysis of the part under dynamic load, and provides an important theoretical basis for the design and optimization of the parallel robot.

Research on Yaw Stability Control of Active Front Steering Based on BP Neural Network PID

2013 ◽  
Vol 765-767 ◽  
pp. 1903-1907
Author(s):  
Jie Wei ◽  
Guo Biao Shi ◽  
Yi Lin
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Steering System ◽  
Stability Control ◽  
Steering Angle ◽  
System A ◽  
Active Front Steering ◽  
Yaw Stability ◽  
Neural Network Pid

This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicles yaw stability effectively.

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