Study of the Performance of a Driver-vehicle System for Changing the Steering Characteristics of a Vehicle

Similar documents
Modeling, Analysis and Control Methods for Improving Vehicle Dynamic Behavior (Overview)

Dynamic Behavior Analysis of Hydraulic Power Steering Systems

Preliminary Study on Quantitative Analysis of Steering System Using Hardware-in-the-Loop (HIL) Simulator

Estimation and Control of Vehicle Dynamics for Active Safety

Analysis on Steering Gain and Vehicle Handling Performance with Variable Gear-ratio Steering System(VGS)

Relationship between steering torque and ease of driving with bar type steering in high speed range

WHAT IS THE PROFIT OF DRIVING FAST? -THE COMPARISON OF THE SPEEDY DRIVING AND SAFE DRIVING IN TERMS OF TRAVELING TIME-

Steering performance of an inverted pendulum vehicle with pedals as a personal mobility vehicle

Research on Skid Control of Small Electric Vehicle (Effect of Velocity Prediction by Observer System)

Development of Integrated Vehicle Dynamics Control System S-AWC

Improvement of Vehicle Dynamics by Right-and-Left Torque Vectoring System in Various Drivetrains x

Friction Characteristics Analysis for Clamping Force Setup in Metal V-belt Type CVTs

Technical Report Lotus Elan Rear Suspension The Effect of Halfshaft Rubber Couplings. T. L. Duell. Prepared for The Elan Factory.

Multi Body Dynamic Analysis of Slider Crank Mechanism to Study the effect of Cylinder Offset

Functional Algorithm for Automated Pedestrian Collision Avoidance System

Strategy for Transfer Elemental Designing and Employing Physical Characteristic Modeling of Steering Maneuvering (the Second Report)

Identification of a driver s preview steering control behaviour using data from a driving simulator and a randomly curved road path

Reduction of Self Induced Vibration in Rotary Stirling Cycle Coolers

Gauge Face Wear Caused with Vehicle/Track Interaction

DRIVING STABILITY OF A VEHICLE WITH HIGH CENTRE OF GRAVITY DURING ROAD TESTS ON A CIRCULAR PATH AND SINGLE LANE-CHANGE

MOTOR VEHICLE HANDLING AND STABILITY PREDICTION

Cornering & Traction Test Rig MTS Flat-Trac IV CT plus

Vehicle Dynamic Simulation Using A Non-Linear Finite Element Simulation Program (LS-DYNA)

Parameter Design and Tuning Tool for Electric Power Steering System

China. Keywords: Electronically controled Braking System, Proportional Relay Valve, Simulation, HIL Test

Review on Handling Characteristics of Road Vehicles

LONG LIGHTING SYSTEM FOR ENHANCED CONSPICUITY OF MOTORCYCLES

Shimmy Identification Caused by Self-Excitation Components at Vehicle High Speed

Maneuvering Experiment of Personal Mobility Vehicle with CVT-Type Steering Mechanism

Oscillator Experiment of Simple Girder Bridge coupled with Vehicle

Use of Simpack at the DaimlerChrysler Commercial Vehicles Division

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016)

Bus Handling Validation and Analysis Using ADAMS/Car

Development of Assist Steering Bogie System for Reducing the Lateral Force

AEB System for a Curved Road Considering V2Vbased Road Surface Conditions

Study on Mechanism of Impact Noise on Steering Gear While Turning Steering Wheel in Opposite Directions

Vehicle Turn Simulation Using FE Tire model

Friction and Vibration Characteristics of Pneumatic Cylinder

METHOD FOR TESTING STEERABILITY AND STABILITY OF MILITARY VEHICLES MOTION USING SR60E STEERING ROBOT

A dream? Dr. Jürgen Bredenbeck Tire Technology Expo, February 2012 Cologne

Rear-end. kodaka 1 REAR-END COLLISION AVOIDANCE ASSIST SYSTEM

FEASIBILITY STYDY OF CHAIN DRIVE IN WATER HYDRAULIC ROTARY JOINT

Using MATLAB/ Simulink in the designing of Undergraduate Electric Machinery Courses

Numerical Optimization of HC Supply for HC-DeNOx System (2) Optimization of HC Supply Control

ABS. Prof. R.G. Longoria Spring v. 1. ME 379M/397 Vehicle System Dynamics and Control

Chapter 2 Analysis on Lock Problem in Frontal Collision for Mini Vehicle

Oversteer / Understeer

Development of Motor-Assisted Hybrid Traction System

Extracting Tire Model Parameters From Test Data

Performance of Rear Differential Depending on Vehicle Driving Mode

Assessment of Drivers' Risk Perception Using a Simulator

Steering Dynamics of Tilting Narrow Track Vehicle with Passive Front Wheel Design

Design Methodology of Steering System for All-Terrain Vehicles

PVP Field Calibration and Accuracy of Torque Wrenches. Proceedings of ASME PVP ASME Pressure Vessel and Piping Conference PVP2011-

Finite Element Analysis of Clutch Piston Seal

Development of Relief Valve Automatic assembly technology

Non-Contact Sensor Performance Report

Low-torque Deep-groove Ball Bearings for Transmissions

Smoke Reduction Methods Using Shallow-Dish Combustion Chamber in an HSDI Common-Rail Diesel Engine

Trend of Turbocharging Technologies

Abstract. 1. Introduction. 1.1 object. Road safety data: collection and analysis for target setting and monitoring performances and progress

Analysis of Torsional Vibration in Elliptical Gears

Identification of A Vehicle Pull Mechanism

Design of Piston Ring Surface Treatment for Reducing Lubricating Oil Consumption

Active Systems Design: Hardware-In-the-Loop Simulation

Skid against Curb simulation using Abaqus/Explicit

Department of Electrical and Computer Engineering

Kinematic Analysis of Roll Motion for a Strut/SLA Suspension System Yung Chang Chen, Po Yi Tsai, I An Lai

Special edition paper

A new approach to steady state state and quasi steady steady state vehicle handling analysis

STUDY ON VEHICLE PULL CHARACTERISTICS ACCORDING TO TIRE TREAD PATTERN

Design and Analysis of suspension system components

SLIP CONTROL AT SMALL SLIP VALUES FOR ROAD VEHICLE BRAKE SYSTEMS

Toyota s トヨタの安全への取り組み

A Preceding Vehicle Following System Based on Haptic Communication

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE

Fully Active vs. Reactive AWD coupling systems. How much performance is really needed? Thomas Linortner Manager, Systems Architecture

The Deployable Gage Restraint Measurement System - Description and Operational Performance

TSFS02 Vehicle Dynamics and Control. Computer Exercise 2: Lateral Dynamics

Journal of Mechanical Systems for Transportation and Logistics

Influence of Speed and Geometry on Guide Friction Contribution in Global Power Loss of a Silent Chain Drive

Featured Articles Utilization of AI in the Railway Sector Case Study of Energy Efficiency in Railway Operations

PREDICTION OF PISTON SLAP OF IC ENGINE USING FEA BY VARYING GAS PRESSURE

Research on Lubricant Leakage in Spiral Groove Bearing

Analysis and evaluation of a tyre model through test data obtained using the IMMa tyre test bench

Multi-body Dynamical Modeling and Co-simulation of Active front Steering Vehicle

Balancing of aeroderivative turbine

Driving Performance Improvement of Independently Operated Electric Vehicle

MODELING, VALIDATION AND ANALYSIS OF HMMWV XM1124 HYBRID POWERTRAIN

Cooperative brake technology

Matching Design of Power Coupling for Two-Motor-Drive Electric Vehicle Lin Cheng1, a, Zhang Ru1, a, Xu Zhifeng1, a, Wang Gang1, a

Application of DSS to Evaluate Performance of Work Equipment of Wheel Loader with Parallel Linkage

Hybrid Architectures for Automated Transmission Systems

ISCORMA-3, Cleveland, Ohio, September 2005

Collaborative vehicle steering and braking control system research Jiuchao Li, Yu Cui, Guohua Zang

Development Trend of Advanced Steering System

A Brake Pad Wear Control Algorithm for Electronic Brake System

Simulated EV Dynamics: Safety & etvc

8. Other system and brake theories

Keywords: driver support and platooning, yaw stability, closed loop performance

Transcription:

20 Special Issue Estimation and Control of Vehicle Dynamics for Active Safety Research Report Study of the Performance of a Driver-vehicle System for Changing the Steering Characteristics of a Vehicle Katsuhiko Fukui, Toshimichi Takahashi To improve the controllability, stability and safety of driver-vehicle systems in a wide range of driving scenarios, we undertook an investigation to determine the appropriate characteristics for an Active Front Steering system using a driving simulator and between 10 and 36 regular drivers. The control logic for the actual steering angle of the front wheels and for the reaction torque of the steering wheel were Abstract varied and the vehicle behavior and drivers' reactions were measured and analyzed for scenarios involving the drift-out and spin of a vehicle while cornering on a simulated lowfrictional surface, as well as when braking on a so-called split µ road. Our findings allowed us to establish the appropriate steering system characteristics for the given cases. Keywords Steering assistance, Steering control, Driver-vehicle interface, Human workload, Perception and control 2) µ 1) 10 36

21 1. Introduction Recent years have seen the development and marketing of several types of control systems for improving a vehicle's dynamic behavior and safety. At the same time, one of the most urgent and important problems the automobile industry faces are the reduction of the number of road accidents and the improvement of traffic safety. As it is said that almost all accidents are caused by human factors, the study of a driver-vehicle closed loop system is essential to the development of any control system. To date, however, there have been relatively few quantitative studies of the effects of such control systems on vehicle behavior in the hands of ordinary drivers. This paper presents the results of our study into the appropriate characteristics of a steering system, which we undertook as part of the development of the control logic for an Active Front Steering 1, 2) System. Using a fixed-type driving simulator, a number of ordinary drivers were examined. We varied the control logic for the actual steering angle of the front wheels as well as that for the reaction torque of the steering wheel for a range of driving scenarios. 2. Configuration of the driving simulator The configuration of the fixed-type (no vehicle dynamic motion) driving simulator that was used for this study is shown in Fig. 1. The drivers operate the vehicle in response to visual information that is projected onto the screen in front and based on the reaction torque of the steering wheel. The vehicle motion is calculated by the model based on the driver's steering angle inputs to produce real-time visual images. We used a relatively simple fourwheel vehicle model for which the tire characteristics are described by a brush type model. For the parameters, we used those for a mid-size passenger car in the model. The actual steering angle and the reaction torque of the steering wheel were calculated by the control logic, based on the input steering angle and the vehicle motion. 3. Effects of actual steering angle and reaction torque control The effects of both the actual steering angle of the front wheels ("front steering angle," below) and the reaction torque of the steering wheel ("steering torque," below) are described here. We can probably assume that the effect of active control of the front steering angle can be clearly verified by vehicle dynamics analysis but that the effect of the steering torque on the vehicle behavior will be rather difficult to understand because it is closely related to the driver's senses and recognition. To clearly verify the control effects, situations approaching the maneuvering limits of the vehicle were chosen for the driving scenarios. Specifically, these were the drift-out of a vehicle and its tendency to spin in curves on a low frictional surface, and braking on a so-called split µ surface while traveling in a straight line. A total of 36 ordinary drivers (males in their 20s (7), 30s (7), 40s (7), and 50s (7) and females in their 20s (8)) took part in the experiment. Figure 2 shows the circuit for the drift-out and Steering angle input start Controller of Reaction reaction Torque torque (Compensation of mass & damping) Produce visual Visual image Image Calculate; -Vehicle motion Motion -Front Steer steer angle Angle -Reaction torque Torque -Tire force Force etc. Fig. 1 Configuration of driving simulator. Fig. 2 Course layout for drift-out and spin test.

22 spin tests. For both tests, each driver drove three laps. As the vehicle speed was automatically set to 60 km/h by the simulator system, the drivers only had to operate the steering wheel. To simulate the drift-out and spin tendency of the vehicle, the maximum side forces (denoted as µ) of the front and rear tires were adjusted, such that at the corners with a 100-m radius (abbreviated to below) in Fig. 1, the vehicle tends to drift-out or spin. The braking tests were done on so-called "split-µ surfaces" where one half of the surface had a high µ value while the other half had a low µ. The vehicle was allowed to run in a straight line at 60 km/h and was automatically braked by the system, such that it would stop after about five seconds. The drivers only had to operate the steering wheel with the goal of keeping the vehicle pointing straight ahead. Each wheel was braked by a simulated ABS braking logic in the driving simulator system. The right and left tires were alternately run on the high µ and low µ surface and the braking tests were repeated four times for each driver and for each condition. 3. 1 Drift-out To observe the control effect, the (instantaneous) steering gear ratio and the assist steering torque added to the normal reaction torque were changed as shown in Fig. 3. The value of the horizontal axis of the figure DRSTAT is defined as shown below by considering the difference between the actual and calculated yaw rate by a linear two-wheel vehicle model. A unit of DRSTAT expresses the steering wheel angle of the linear vehicle model that corresponds to the difference in the yaw rate. The following conditions were applied to the driftout experiment. (a) Standard (fixed gear ratio of 16 and normal power steering) (b) Change gear ratio only (c) Change gear ratio and add assist torque An example of the measured data for (c) above is shown in Fig. 4. From this figure, we can see that the steering torque becomes larger in the case of (c) as a result of the assist torque. In the figure, the front steering angle, the steering torque (target torque) and the actual response of the steering torque are plotted against the steering wheel angle. The actual response of the steering torque is also plotted in the figure. The cause of the hysteresis observed in the actual steering torque response is thought to be a result of the friction in the steering system, which cannot be cancelled by the controller. If the driver is able to control the vehicle very precisely around a steering wheel angle of about 50 degrees, the vehicle is just able to clear the corners. If the driver applies more and more steering, however, the vehicle travels further outside the corner as a result of a decrease in the side force of the vehicle front axle. So, the reason for setting conditions (b) and (c) was to reduce the front steering angle when the driver turns the steering wheel excessively in the case of drift-out. Figure 5 shows the test results for the maximum 1 1 40 Gear ratio 30 20 10 Assist torque Torque Gear Ratio ratio - Assist torque (Nm) Front steering angle (deg) - Target torque Front steering angle Steering torque - Steering torque, target torque (Nm) 0-4 -2 2-4 DRSTAT (deg) -1-1 -150-100 -50 50 100 150 Steering wheel angle (deg) Fig. 3 Gear ratio and assist steering torque for drift-out test. Fig. 4 Front steering angle and steering torque for driftout test.

23 lateral deviation of the vehicle from the center line of the course. Through data analysis, it was found that there are some differences between drivers, as shown below. The percentage indicates the ratio to the total number of test drivers (36). - Type 1: Smallest deviation under condition (c).. 41% - Type 2: Smallest deviation under condition (b).. 31% - Type 3: Smallest deviation under condition (a).. 28% Type 3 implies that there is a negative effect (but not fatal) on the control of the steering system in the event of drift-out, but the deviation for test condition (a) is very small when compared to the other types. It may be said that the Type 3 drivers have the higher driving skill and a greater knowledge of vehicle maneuvers than the other drivers. As a result, the Type 3 drivers experienced a sense of incongruity for the steering control logic of (b) and (c). From Fig. 5, we can see that changing the gear ratio is effective for improving the drift-out phenomenon but that the effect of the assist torque is relatively small for many ordinary drivers. 3. 2 Spin To investigate the control effect of the steering system in the event of a spin, a simulated Vehicle Stability Control (VSC) system, the like of which has been offered on many models in recent years to reduce the spin tendency, was introduced to the simulator's vehicle model. To determine the effect of the control, the additional front steering angle and the assist steering torque were changed as shown in Fig. 6. To prevent the vehicle from spinning, drivers should normally turn the steering wheel back. The front steering angle was reduced by subtracting the additional steering angle, which is a function of DRSTAT, from the steering angle corresponding to the driver's steering wheel input. The steering torque was increased by adding assist torque that is a function of the difference in the brake pressures of the two front tires while VSC is being applied. The following conditions were applied to the spin experiment. (a) Standard (fixed gear ratio of 16 and normal power steering with VSC) (b) Addition of extra front steering angle only (c) Addition of assist torque only Figure 7 shows example time histories for test condition (a). The data analysis area shown in the figure corresponds to the time from the vehicle entering a corner to it's leaving the corner. As the index of the control effect in the event of a spin, the RMS values of the body slip angle in the data analysis area were used, because this value becomes very large in the event of a vehicle spin. Figure 8 shows the test results for the three test conditions. In case of the spin test, all of the drivers exhibited the same tendency, so the results for all of the 36 drivers were averaged. From Fig. 8, it can be seen that applying control to both the front steering angle and the steering torque clearly improves the spin tendency of a vehicle, and that the effect of front steering angle control is greater than that of the steering torque. Fig. 5 Maximum lateral deviation (m) Average Type 3 Type 1 Type 2 (a) (b) (c) Test condition Maximum lateral deviation for drift-out test. Fig. 6 Additional front steering angle (deg) 2.5-2.5 Assist torque Additional Steering ateering Angle angle - - -10 - - 10 DRSTAT (deg) Brake pressure difference (Mpa) Assist torque (Nm) Additional front steering angle and assist steering torque for spin test.

24 3. 3 Braking on a split µ surface To investigate the control effect in the case of braking on a split µ surface, the test runs were performed under the following conditions. (a) Standard (fixed gear ratio of 16 and normal power steering with ABS) (b) Addition of additional front steering angle only (c) Addition of assist torque only Figure 9 shows the additional front steering angle and the assist steering torque. The horizontal axis of the figure indicates the brake pressure difference between the two front tires while braking. Both the angle and the torque were added to the direction that of the vehicle while running in a straight line. Upon the occurrence of test condition (b), the influence of the tire force and moment caused by the additional front steering angle was not reflected in the reaction torque of the steering wheel. The indexes of the control effect under the condition of split µ braking are shown in Fig. 10. The RMS value of the vehicle lateral speed while braking is a factor affecting the vehicle lateral movement. By means of data analysis, it was found that the drivers can be classified into two types, as shown below. The percentage is the ratio to the total number of test drivers (36). Steering wheel angle (deg) Body slip angle (deg) 60 30 0-30 -60-9 100 Time (sec) 110 120 6.0 Steering wheel angle Steering torque Data analysis area Body slip angle 1.5-1.5 1 1 - - Yaw rate -1-6.0-1 9 100 Time (sec) 110 120 Steering torque (Nm) Yaw rate (deg/sec) Fig. 9 Additional front steering angle (deg) - - Additional Steering steering angle Angle Assist torque 1.5 0.5-0.5 - - -1.5-8.0-4.0 4.0 8.0 Brake pressure difference (Mpa) Assist torque (Nm) Additional front steering angle and assist steering torque for split µ braking test. Fig. 7 Time histories of spin test. 0.5 Fig. 8 RMS value of body slip angle (deg. sec) 4.0 (a) (b) (c) Test condition RMS values of body slip angle at spin test. RMS value of vehicle lateral speed (m) 0.4 0.3 0.2 0.1 Type 1 Type 2 Average (a) (b) (c) Test condition Fig. 10 RMS values of vehicle lateral speed for split µ braking test.

25 - Type 1: Steering torque control has almost no effect... 16% - Type 2: Others.. 84% From these figures, we can conclude that the front steering angle control has a considerable effect because it reduces the driver's work load, and that the steering torque control also has a remarkable effect for many drivers. 4. Conclusion We examined the characteristics of a steering system for a driver-vehicle system. Our findings were as follows. (1) The effects of both the actual steering angle of the front wheels and the reaction torque of the steering wheel on the drift-out and spin tendency of a vehicle on a low frictional road, as well as on braking on a split µ road were studied. A change in the gear ratio is effective for improving the drift-out phenomenon, but assist torque is of negligible benefit to many ordinary drivers. (2) The control of both the front steering angle and the steering torque has a clear effect on improving the spin tendency of a vehicle and the effect of the front steering angle control is greater than that of the steering torque. (3) The front steering angle control has a dramatic effect in that it reduces the driver's work load, and the steering torque control also has a notable effect for many ordinary drivers. Katsuhiko Fukui Research fields : Driver Behavior Analysis, Steering System Analysis Academic society : Soc. Autom. Eng. Jpn. Toshimichi Takahashi Research fields : Vehicle Dynamics, Tire Dynamics, Man-Machine System Academic society : Soc. Autom. Eng. Jpn., Jpn. Soc. Mech. Eng. Awards : Outstanding Paper Award, 26th FISITA Congress, 1996 References 1) Pauly, A., et al. : "A Steer by Wire Concept for Passenger Cars Designated for Function, Safety and Reliability", Proc. of JSAE Annu. Congr., No. 20015329, (2001) 2) Kojo, T., et al. : "Development of Front Steering Control System", Proc. of 6th Int. Symp. on Adv. Veh. Control (AVEC '02), Hiroshima, (2002), 33-38 (Report received on Sep. 19, 2005)