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 Model predictive control–based steering control algorithm for steering efficiency of a human driver in all-terrain cranes

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985978
Author(s):  
Ja-Ho Seo ◽  
Kwang-Seok Oh ◽  
Hong-Jun Noh
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Steering System ◽  
Driver Model ◽  
Control Technique ◽  
Change Scenario ◽  
Steering Control ◽  
Human Driver ◽  
Steering Effort

All-terrain cranes with multi-axles have large inertia and long distances between the axles that lead to a slower dynamic response than normal vehicles. This has a significant effect on the dynamic behavior and steering performance of the crane. Therefore, the purpose of this study is to develop an optimal steering control algorithm with a reduced driver steering effort for an all-terrain crane and to evaluate the performance of the algorithm. For this, a model predictive control technique was applied to an all-terrain crane, and a steering control algorithm for the crane was proposed that could reduce the driver’s steering effort. The steering performances of the existing steering system and the steering system applied with the newly developed algorithm were compared using MATLAB/Simulink and ADAMS with a human driver model for reasonable performance evaluation. The simulation was performed with both a double lane change scenario and a curved-path scenario that are expected to happen in road-steering mode.

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.

Artificial Intelligence Control Algorithm for the Steering Motion of Wheeled Soccer Robot

2019 ◽  
Vol 33 (10) ◽  
pp. 1959034 ◽  
Author(s):  
Xiaowei Xiong
Keyword(s):  
Artificial Intelligence ◽  
Control Algorithm ◽  
Steering Wheel ◽  
Dynamic Feedback ◽  
Steering Control ◽  
Soccer Robot ◽  
Artificial Neurons ◽  
Intelligence Control ◽  
Intelligent Model ◽  
Soccer Robots

In this paper, the artificial intelligence control algorithm for steering robot of steering wheel is studied. The steering movement of wheeled soccer robot is controlled by artificial intelligence control algorithm, and the steering movement is modeled and simulated. Firstly, the characteristics of artificial neurons are simulated and a similar control model is constructed to complete the simulation of football. The artificial intelligence control algorithm has a dynamic feedback item compared with the traditional intelligent model, which has a better effect on the steering control of the wheeled soccer robot. In this paper, artificial intelligence control algorithm is used to optimize the parameters of artificial intelligence control algorithm, and the output of control signal of each steering part of wheeled soccer robot is simulated in the experiment, and the control of the steering action of wheeled soccer robot by artificial intelligence control algorithm is verified by experiments. Then the artificial intelligence control algorithm forms the connection structure. This method provides a good reference for steering control of wheeled soccer robots.

The Research of Steer by Wire System Based on Fuzzy Logic Control

2011 ◽  
Vol 55-57 ◽  
pp. 780-784
Author(s):  
Shu Fang Geng ◽  
Qing Feng Peng ◽  
Li Fang Wang
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Steering System ◽  
System Structure ◽  
Steering Wheel ◽  
System Control ◽  
Vehicle Speed ◽  
Response Characteristics ◽  
Logic Control

This paper describes SBW system structure and principle, for different vehicle speed inputs and steering wheel angle step inputs, the simulation model run in Simulink, and obtain yaw rate response characteristics, so the steering system control requirements is proposed, establishes fuzzy logic control system. This control strategy can improve vehicle’s stability and fast respond characteristics. Simulations are carried out to gain a series of transmission ratio curves, show the validity of the proposed fuzzy logic control method.

Research of Electric Power Steering System Assistance Characteristic Based on the Identification of the Road

2013 ◽  
Vol 756-759 ◽  
pp. 4401-4406 ◽  
Author(s):  
Qiang Li ◽  
Chang Gao Xia
Keyword(s):  
Characteristic Curve ◽  
Steering System ◽  
Lateral Acceleration ◽  
Steering Wheel ◽  
Analysis Model ◽  
The Road ◽  
Power Steering ◽  
Resistance Torque ◽  
Wheel Torque ◽  
The Difference

Study of traditional assist characteristic cure does not take into account the difference of steering resistance torque caused by different road adhesion coefficient. Vehicle dynamics analysis model is established based on ADAMS/CAR. Simulation of steering wheel torque is realized under different road conditions. Departure from the ideal boost characteristics requirements and combined with ideal steering wheel torque under different speed and lateral acceleration., the article built assist characteristic curve under a certain road conditions. The system can real-time select the assist characteristic curve through identifying the vehicle traveling road conditions by the way of BP neural network. The theory provided a feasible method for the improvement of the EPS system performance.

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.

The Variable Steering Ratio for Vehicle Steer by Wire System Using Hyperbolic Tangent Method

2014 ◽  
Vol 575 ◽  
pp. 781-784 ◽  
Author(s):  
Sheikh Muhammad Hafiz Fahami ◽  
Hairi Zamzuri ◽  
Saiful Amri Mazlan ◽  
Sarah Atifah Saruchi
Keyword(s):  
High Speed ◽  
Control Algorithm ◽  
Steering System ◽  
Steering Wheel ◽  
Hyperbolic Tangent ◽  
Steer By Wire ◽  
Tangent Method ◽  
Vehicle Maneuver ◽  
Wire System

In conventional steering system, during the parking maneuver, driver required large turned on the steering wheel to move the fornt tyre. Thus, it will increase the driver burden when turned the steering wheel. The feature of variable steering ratio (VSR), help to reduce driver burden. Moreover, it improves the vehicle maneuver at lower and high speed. This paper, proposed a control algorithm of variable steering ratio (VSR) in vehicle SBW system. The concept of hyperbolic tangent is used where it not only improved the maneuverability at lower speed, but also reduces the driver burden on the steering wheel. To investigate the effectiveness of the proposed VSR algorithm, the result is compared with conventional steering system

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.

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