Electric Power Assisted Steering (original) (raw)
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Electric Power Assisted Steering Control for Autonomous Driving
Driverless vehicles are anticipated to play a vital role in the forthcoming years as it enhance road safety, mitigate road congestion and has positive effect on environment. Lateral control is the primary concern in the development of these vehicles. In this paper, a fuzzy logic based controller is designed to steer the electric power assisted steering (EPAS) of a car without a driver. The controller steer the car by replicating the steering torque sensor signals (voltage) generated in human operated condition based on the steering angle error and the steering angle rate. The EPAS of a subcompact passenger car is modeled using first principles in MATLAB Simulink to analyze the performance of the controller. Results of simulation show that the proposed controller is a promising solution for autonomous steering control. The controller designed using MATLAB Simulink can be implemented real time in a sub compact passenger car with a rapid control prototyping system based on dSPACE.
Linear Analysis of a Conventional Power Steering System for Passenger Cars
2002
This paper deals with linear analysis of a conventional hydraulic power assisted steering system for passenger cars. The reason for this study is to be able to transfer the steering feel information transmitted to the driver, as well as, the frequency dependency of the assist characteristic of the system to other types of steering systems. Such systems could be electric power assisted steering (EPAS) systems, as they have lately been introduced on smaller passenger cars. In this paper, several relevant transfer functions of the conventional power steering system have been derived and the underlying control structure of conventional hydraulic power steering systems are discussed.
IRJET, 2023
In Passenger vehicle industry, Steering performance is of utmost importance in determining the vehicle dynamic behavior for active vehicle safety and crucial to understand the performance well before its deployment on the vehicle. In current scenario, with the introduction of advanced driver assistance system (ADAS), which comes with many add on features in the steering system such as pull drift compensation, lane keep assist, auto park assist etc., this requirement becomes more stringent for the accurate delivery of the programmed algorithms. In this paper, the complete wheel-to-wheel steering model is developed for the simulation in Amesim platform with all the associated components. With the validated model, the variation of the total torque required at the pinion gear at different vehicle speeds (0 to 160 kmph) is plotted. The friction torque at column, steering rack and motor is plotted to closely understand the change behavior with respect to time for the given input of steering angle and vehicle speed. At last, results are analyzed to develop the understanding between steering system's components so that the necessary power can be requested from the system in order not to compromise with the desired force to turn the wheel on road.