Fuzzy Model Reference Learning Control for Antilock Breaking Systems

سال انتشار: 1384
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,904

فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ISME13_601

تاریخ نمایه سازی: 21 اسفند 1385

چکیده مقاله:

Although antiskid braking systems (ABS) are designed to optimize braking effectiveness while maintaining steer ability, their performance often degrades for harsh road conditions, e-g, and icy/snowy roads. This paper introduces the idea of using the fuzzy model reference learning control (FMRLC) technique for maintaining adequate performance even under such adverse road conditions. This controller utilizes a learning mechanism which observes the plant outputs and adjusts the rules in a direct fuzzy controller so that the overall system behaves like a “reference model” which characterizes the desired behavior. The performance of the FMRLC – based ABS is demonstrated by simulation for various road conditions (wet asphalt, icy) and transitions between such conditions (e.g., when emergency braking occurs and the road switches from wet to icy or vice versa).

کلیدواژه ها:

ABS-Reference model-Fuzzy controller-Fuzzy inverse model-Learning mechanism

نویسندگان

Omid Aghababai

Graduate Student in Mechanical Engineering, Center of Excellence in Design, Robotics, and Automation (CEDRA)

Aria Alasty

Associate Professor,Department of Mechanical Engineering, Sharif University of Technology

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • The triangular membership functions for the fuzzy control output universe ...
  • Annual (International) Mechanical Engineering Conference May 2005 Isfahan University of ...
  • J. Layne, K. Passino, *Fuzzy model reference learning control?, IEEE ...
  • H. Tan, M. Tomizuka, ، A discrete-time robust vehicle traction ...
  • H. Tan, M. Tomizuka, ،، Di screte-time controller design for ...
  • R. Fling and R. Fenton, ،0A describing function approach to ...
  • S. Yoneda, Y. Naitoh, and H. kigoshi, «Rear brake lock-up ...
  • T. Tabo, N. Ohka, H. Kuraoka, and M.Ohba, ، Automotive ...
  • J. Harned, L. Johnston, and G. Scharpf, ، ، M ...
  • S. Rhee, ،Friction coefficient of automotive friction materials-Its sensitivity to ...
  • Annual (International) Mechanical Engineering Conference May 2005 Isfahan University of ...
  • Annual (International) Mechanical Engineering Conference May 2005 Isfahan University of ...
  • Annual (International) Mechanical Engineering Conference May 2005 Isfahan University of ...
  • نمایش کامل مراجع