سال انتشار: ۱۳۸۴

محل انتشار: سیزدهمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۸

نویسنده(ها):

Kazemi – Center of Excellence in Design, Robotics, and Automation, Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran
Abdollahpour – Center of Excellence in Design, Robotics, and Automation, Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran
Sharifi Sedeh – Center of Excellence in Design, Robotics, and Automation, Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran
Kazemi – Dept of mechanical Eng, Amir Kabir University of Technology

چکیده:

The braking system is a nonlinear and time variant system which causes difficulties in developing a classical controller for an Anti-lock Braking System (ABS). Intelligent control methods especially fuzzy logic control would be suitable for controlling such a system. In this paper we have designed an adaptive fuzzy estimator controller for ABS to keep the wheel slip in a suitable range that depends on road condition. This control is
consisting of three subsystems. The first subsystem computes a normalized braking torque, while the second estimates the road condition and computes the optimal wheel slip, and at last, the third subsystem modifies the normalized braking torque, from there, we compute the best braking torque for each wheel. The simulation results show the good performance of the proposed controller.