Technical Journal R&D Review
Abstract : Vol.40No.4(2005.12)
Special Issue:Estimation and Control of Vehicle Dynamics for Active Safety
Review
 
P.1 Estimation and Control of Vehicle Dynamics for Active Safety
   

Eiichi Ono

 

One of the most fundamental approaches to increasing automobile safety involves improving the basic performance of the automobile itself, that is, its "running, cornering, and stopping." This article describes how we derived the control system requirements that are necessary to avoid spin, which is essential to vehicle performance, by analyzing vehicle stability, and also explains a hierarchical control system configuration for satisfying the control system requirements for improving the active safety performance of vehicles. It also clarifies the positions of the researches featured herein within a control system configuration.

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Research Reports
 
P.7
   

Eiichi Ono, Yoshikazu Hattori, Yuji Muragishi

 

To improve the performance of vehicle dynamics control systems, it is important to be able to estimate the friction force characteristics between the tires and the road. In this paper, we estimate the radius of the tire friction circle by using the relationship between the Self-Aligning Torque (SAT), and the lateral and longitudinal forces acting on each tire. Then, we propose a vehicle dynamics control system for four-wheel distributed traction/braking and four-wheel distributed steering that is based on an on-line nonlinear optimization algorithm that minimizes the maximum μ rate of the four tires by using the estimation of the radius of the tire friction circle.

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P.14 Detection of Tire Lateral Force Based on a Resolver Mechanism
   

Takaji Umeno

 

 

To observe the frictional state of a tire and improve the active safety control system of a vehicle, it is necessary to sense the tire-generated forces.

This paper presents a technique for detecting a lateral tire-force. This is based on the resolver mechanism that is used as a rotational speed sensor for a wheel. It is realized simply by replacing a conventional wheel speed sensor, and can detect tire lateral force by magnetically sensing the positional offset of the rotating shaft that occurs due to the stiffness of the shaft and axle hub bearing. Therefore, there is no need for complex machining and the system can accommodate variations in the tire characteristics caused by changes in temperature, inner pressure, aspect ratio, and so on. The principle of the technique has been confirmed by experiments on a tire test machine and on a test vehicle.

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P.20 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 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 low-frictional 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.

 

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P.26 Optimum Vehicle Trajectory Control for Obstacle Avoidance Problem
   

Yoshikazu Hattori, Eiichi Ono, Shigeyuki Hosoe

 

 

In this paper, a new vehicle control algorithm for avoiding an obstacle within the shortest possible travel distance is proposed. The algorithm consists of two steps. In the first step, the optimal vehicle trajectory and the corresponding force and moment of the vehicle are determined using second-order cone programming. In the second step, the computed force and moment are distributed into each tire force, while using sequential quadratic programming with a pseudo-inverse matrix for the derivation.

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