Development of Vehicle Stability Control System Based on Vehicle Sideslip Angle Estimation

Nishio, Akitaka; Tozu, Kenji; Yamaguchi, Hiroyuki; Asano, K.; Amano, Yasushi

doi:10.4271/2001-01-0137

Cited by 75 publications

(35 citation statements)

References 4 publications

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“…Errors caused by textureless surfaces or other anomalies could be corrected by inertial sensors. Big car manufacturers have been working on projects to estimate and use the sideslip angle in their stability systems (Nishio et al 2001). By measuring the sideslip angle at individual wheels important parameters of the suspension and wheel alignment can be determined.…”

Section: Slip Measurementmentioning

confidence: 99%

Optical Speed Measurement and Applications

Takács¹,

Kálmán²,

Vajta³

2008

Frontiers in Robotics, Automation and Control

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Section: Slip Measurementmentioning

confidence: 99%

Optical Speed Measurement and Applications

Takács¹,

Kálmán²,

Vajta³

2008

Frontiers in Robotics, Automation and Control

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“…However, stabilization should be applied in the latter to minimize the cumulative integral error. Nishio et al (2001) developed an estimation method using a combination of the vehicle model observer and the pseudo-integral. This method is robust against sensor error as well as changes in road friction and operational disturbances.…”

Section: Sideslip-angle-based Compensated Yaw Momentmentioning

confidence: 99%

Tuning Fuzzy-Logic Controllers

Dao¹,

Chen²

2012

Fuzzy Logic - Controls, Concepts, Theories and Applications

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“…For example, for the electronic stability control (ESC) system, the yaw rate will be controlled to prevent skidding. If the friction coefficient can be estimated, the yaw rate feedback with the knowledge of friction coefficient can be sent back to the controller to control the yaw rate adaptively [1]- [3]. For the four-wheel-driving (4WD) vehicle, the estimation of individual tire friction coefficient can help to detect which wheel needs the maximum drive torque [4].…”

Section: Introductionmentioning

confidence: 99%

A novel cost effective method for vehicle tire-road friction coefficient estimation

2013

2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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The tire-road friction coefficient is critical to vehicle longitudinal, lateral and roll dynamics and control because tire is the only contact part between the vehicle body and the road. However, direct measurement of tire-road friction coefficient is impossible in practice. This paper presents a novel cost effective method for vehicle tire-road friction coefficient estimation. This method only needs the measurements of the wheel angular velocity, the traction/brake torque and the longitudinal acceleration, which are all available from the commonly installed sensors in ordinary passenger vehicles, and can be used to estimate the individual tireroad friction coefficient. There are three steps in the proposed method. Firstly, the longitudinal slip ratio is estimated by using a nonlinear filter with the measured wheel angular velocity. Then the tire longitudinal force is estimated by using a Kalman filter with the measured traction/brake torque and longitudinal acceleration. At last, the friction coefficient is estimated by using the recursive least squares (RLS) method and the results obtained from the first two steps. Numerical simulations are provided to validate the effectiveness of the proposed method. It is shown by the simulation results that the proposed method is effective in estimating the tire-road friction coefficient. Abstract-The tire-road friction coefficient is critical to vehicle longitudinal, lateral and roll dynamics and control because tire is the only contact part between the vehicle body and the road. However, direct measurement of tire-road friction coefficient is impossible in practice. This paper presents a novel cost effective method for vehicle tire-road friction coefficient estimation. This method only needs the measurements of the wheel angular velocity, the traction/brake torque and the longitudinal acceleration, which are all available from the commonly installed sensors in ordinary passenger vehicles, and can be used to estimate the individual tire-road friction coefficient. There are three steps in the proposed method. Firstly, the longitudinal slip ratio is estimated by using a nonlinear filter with the measured wheel angular velocity. Then the tire longitudinal force is estimated by using a Kalman filter with the measured traction/brake torque and longitudinal acceleration. At last, the friction coefficient is estimated by using the recursive least squares (RLS) method and the results obtained from the first two steps. Numerical simulations are provided to validate the effectiveness of the proposed method. It is shown by the simulation results that the proposed method is effective in estimating the tire-road friction coefficient.

show abstract

Development of Vehicle Stability Control System Based on Vehicle Sideslip Angle Estimation

Cited by 75 publications

References 4 publications

Optical Speed Measurement and Applications

Optical Speed Measurement and Applications

Tuning Fuzzy-Logic Controllers

A novel cost effective method for vehicle tire-road friction coefficient estimation

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