Cosimulation of multi-body-based vehicle dynamics and an electric power steering control system

2001 ◽  
Vol 215 (3) ◽  
pp. 141-151 ◽  
Author(s):  
Y G Liao ◽  
H I Du
Keyword(s):  
Control System ◽  
Electric Power ◽  
Vehicle Dynamics ◽  
Steering Control ◽  
Electric Power Steering ◽  
Power Steering ◽  
Multi Body

scholarly journals Design Method of Electric Power Steering Control System Using Scheduled H∞ Control

1999 ◽  
Vol 119 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Kazuhiro Yubai ◽  
Yuji Uga ◽  
Tatsuya Suzuki ◽  
Shigeru Okuma ◽  
Toshihiko Daidou
Keyword(s):  
Control System ◽  
Electric Power ◽  
Design Method ◽  
Steering Control ◽  
Electric Power Steering ◽  
Power Steering

Multi-parametric model predictive control for autonomous steering using an electric power steering system

2019 ◽  
Vol 233 (13) ◽  
pp. 3391-3402
Author(s):  
Junho Lee ◽  
Hyuk-Jun Chang
Keyword(s):  
Model Predictive Control ◽  
Quadratic Programming ◽  
Electric Power ◽  
Predictive Control ◽  
Parametric Model ◽  
Effective Control ◽  
Steering Control ◽  
Electric Power Steering ◽  
Parametric Quadratic Programming ◽  
Power Steering

Electric power steering systems have been used to generate assist torque for driver comfort. This study makes use of the functionality of electric power steering systems for autonomous steering control without driver torque. A column-type electric power steering test bench, equipped with a brushless DC motor as an assist motor, and the Infineon TriCore AURIX TC 277 microcontroller was used in this study. Multi-parametric model predictive control is based on a model predictive control–based approach that employs a multi-parametric quadratic programming technique. This technique allows the reduction of the huge computational burden resulting from the online optimization in model predictive control. The proposed controller obtains an optimal input based on multi-parametric quadratic programming at each sampling time. The weighting matrix definition, which is the main task when designing the proposed controller, was analyzed. The experimental results of the step response of the steering wheel angle verified the tracking ability of the proposed controller for different ranges of the prediction horizon. Since the computational loads are directly related to functional safety, the results of this study support the use of the multi-parametric model predictive control scheme as an effective control method for autonomous steering control.

A New Control Strategy to Reduce Steering Torque Without Perceptible Vibration for Vehicles Equipped With Electric Power Steering

2010 ◽  
Vol 132 (5) ◽  
Author(s):  
Masahiko Kurishige ◽  
Osamu Nishihara ◽  
Hiromitsu Kumamoto
Keyword(s):  
Angular Velocity ◽  
Electric Power ◽  
Control Strategy ◽  
Steering Wheel ◽  
Velocity Control ◽  
Steering Control ◽  
Electric Power Steering ◽  
Power Steering ◽  
Wide Range ◽  
Steering Torque

This paper proposes a new electric power steering control strategy, which significantly reduces the effort needed to change the steering direction of stationary vehicles. Previous attempts to reduce undesirable steering vibration have failed to reduce the steering torque because high-assist gains tend to produce oscillation or increase noise sensitivity. Herein, to eliminate this vibration, a new control strategy was developed based on pinion angular velocity control using a newly developed observer based on a simplified steering model. Tests yielded excellent estimations of the pinion angular velocity, and this made it possible to eliminate vibration at all steering wheel rotation speeds. Experiments with a test vehicle confirmed significant steering torque reduction, over a wide range of steering wheel speeds, without vibration transmission to the driver. The proposed control strategy allowed use of an assist gain more than three times higher than is conventional. Additionally, the proposed control strategy does not require supplemental sensors.

Design and Stabilization Analysis of the Parabola-Type Assistance Characteristic of Electric Power Steering System

2013 ◽  
Vol 779-780 ◽  
pp. 556-559 ◽  
Author(s):  
Guo Qing Geng
Keyword(s):  
Control System ◽  
Electric Power ◽  
Computer Control ◽  
Steering System ◽  
Computer Control System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Curve Type ◽  
Power Steering ◽  
Electric Power Steering System

In order to realize the curve-type assistance characteristic of the electric power steering system , the parabola-type assistance characteristic is brought out, and realizing it by designing the electric power steering system which is controlled by computer. And then math model of computer control system is constructed, and adopting Z-transform to analysis the stabilization of the system. The result shows that computer control system can realize the curve-type assistance characteristic.

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