Experimental Validation of Lateral Vehicle Control for Autonomous Valet Parking System

2012 ◽  
Author(s):  
Heejae Choi ◽  
Dohyun Kim ◽  
Bongsob Song
Keyword(s):  
Experimental Validation ◽  
Vehicle Control ◽  
Parking System

scholarly journals Automatic Parking Path Planning and Tracking Control Research for Intelligent Vehicles

2020 ◽  
Vol 10 (24) ◽  
pp. 9100
Author(s):  
Chenxu Li ◽  
Haobin Jiang ◽  
Shidian Ma ◽  
Shaokang Jiang ◽  
Yue Li
Keyword(s):  
Path Planning ◽  
Tracking Control ◽  
Control Method ◽  
Sliding Mode ◽  
Vehicle Control ◽  
Path Tracking ◽  
Intelligent Vehicles ◽  
Parking System ◽  
Automatic Parking ◽  
Real Vehicle

As a key technology for intelligent vehicles, automatic parking is becoming increasingly popular in the area of research. Automatic parking technology is available for safe and quick parking operations without a driver, and improving the driving comfort while greatly reducing the probability of parking accidents. An automatic parking path planning and tracking control method is proposed in this paper to resolve the following issues presented in the existing automatic parking systems, that is, low degree of automation in vehicle control; lack of conformity between segmented path planning and real vehicle motion models; and low success rates of parking due to poor path tracking. To this end, this paper innovatively proposes preview correction which can be applied to parking path planning, and detects the curvature outliers in the parking path through the preview algorithm. In addition, it is also available for correction in advance to optimize the reasonable parking path. Meanwhile, the dual sliding mode variable structure control algorithm is used to formulate path tracking control strategies to improve the path tracking control effect and the vehicle control automation. Based on the above algorithm, an automatic parking system was developed and the real vehicle test was completed, thus exploring a highly intelligent automatic parking technology roadmap. This paper provides two key aspects of system solutions for an automatic parking system, i.e., parking path planning and path tracking control.

Yaw Rate Estimation for Vehicle Control Applications

1998 ◽  
Vol 120 (2) ◽  
pp. 267-274 ◽  
Author(s):  
N. Sivashankar ◽  
A. G. Ulsoy
Keyword(s):  
Experimental Validation ◽  
Vehicle Control ◽  
Operating Conditions ◽  
Angle Sensor ◽  
Control Applications ◽  
Rate Estimation ◽  
Yaw Rate ◽  
Wide Range ◽  
Simulation Results ◽  
Instrumented Vehicle

This paper describes a method for vehicle yaw rate estimation using two accelerometers and a steer angle sensor. This yaw rate estimate can be used as an inexpensive alternative to commercial yaw rate sensors in vehicle control applications. The proposed method combines two complementary approaches to yaw rate estimation using accelerometers. This new method is superior to either method used by itself. This paper presents the new approach, supporting analyses, simulation results and experimental validation. The simulation results are based upon both linear and nonlinear vehicle dynamics models and include important effects such as sensor drift and noise, disturbances acting on the vehicle, and model uncertainties. The experimental validation is based on test data from a specially instrumented vehicle driven on a test track. These results indicate that the proposed yaw rate estimation scheme performs well for a wide range of operating conditions and is not difficult to implement.

Assessing the validity of the ride motion simulator for a remote vehicle control task

2005 ◽  
Author(s):  
John W. Ruffner ◽  
Kaleb McDowell ◽  
Victor J. Paul ◽  
Harry J. Zywiol ◽  
Todd T. Mortsfield ◽  
...  
Keyword(s):  
Vehicle Control ◽  
Control Task ◽  
Motion Simulator

Auditory-Visual Redundancy in Vehicle Control Interruptions: Two Meta-analyses

2011 ◽  
Author(s):  
Christopher Wickens ◽  
Julie Prinet ◽  
Shaun Hutchins ◽  
Nadine Sarter ◽  
Angelia Sebok
Keyword(s):  
Vehicle Control ◽  
Meta Analyses

Experimental validation of the predicted TGR5 binding mode model

2015 ◽  
Vol 53 (01) ◽  
Author(s):  
L Spomer ◽  
CGW Gertzen ◽  
D Häussinger ◽  
H Gohlke ◽  
V Keitel
Keyword(s):  
Experimental Validation ◽  
Binding Mode

Effect of Inner and Outer Wheels Driving Force Control on Small Electric Vehicle

2020 ◽  
Vol 17 (4) ◽  
pp. 8246-8254
Author(s):  
K. Shibazaki ◽  
H. Nozaki
Keyword(s):  
Control System ◽  
Angular Velocity ◽  
Electric Vehicle ◽  
Force Constant ◽  
Force Control ◽  
Driving Force ◽  
Vehicle Control ◽  
Steering Angle ◽  
Force Control System ◽  
The Difference

In this study, in order to improve steering stability during turning, we devised an inner and outer wheel driving force control system that is based on the steering angle and steering angular velocity, and verified its effectiveness via running tests. In the driving force control system based on steering angle, the inner wheel driving force is weakened in proportion to the steering angle during a turn, and the difference in driving force is applied to the inner and outer wheels by strengthening the outer wheel driving force. In the driving force control (based on steering angular velocity), the value obtained by multiplying the driving force constant and the steering angular velocity,  that differentiates the driver steering input during turning output as the driving force of the inner and outer wheels. By controlling the driving force of the inner and outer wheels, it reduces the maximum steering angle by 40 deg and it became possible to improve the cornering marginal performance and improve the steering stability at the J-turn. In the pylon slalom it reduces the maximum steering angle by 45 deg and it became possible to improve the responsiveness of the vehicle. Control by steering angle is effective during steady turning, while control by steering angular velocity is effective during sharp turning. The inner and outer wheel driving force control are expected to further improve steering stability.

Experimental Validation of Factors Causing Flicker from Frequency Feedback Method with Step Injection of Reactive Power

2018 ◽  
Vol 138 (8) ◽  
pp. 651-658 ◽  
Author(s):  
Keisuke Shirasaki ◽  
Naotaka Okada ◽  
Kenichiro Sano ◽  
Hideki Iwatsuki
Keyword(s):  
Experimental Validation ◽  
Reactive Power ◽  
Feedback Method
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