Optimization of Bang-of-Bang TS-Fuzzy Based via DARLA Technique for ABS System

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 324

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_JACR-5-3_001

تاریخ نمایه سازی: 16 شهریور 1395

چکیده مقاله:

Anti-lock Braking System (ABS) which is a nonlinear and time variant systemmay not be easily controlled by classic control methods. This is due to the fact thatclassic linear controllers are just capable of controlling a specific plant in smallregion of state space. To overcome this problem, a more powerful control techniquemust be employed for complex nonlinear plants. Fuzzy controllers are potentialcandidates for the control of such systems, while they have an intrinsic ability tocontrol a complex set of dynamics like ABS in an appropriate wider region in thestate space.This paper introduces a new zero order Takagi-Sugeno fuzzy controller.The input membership functions of the proposed controller have been optimizedsuch that the ABS performance enhances over different braking situations.Simulation shows the effectiveness of the proposed controller under various roadconditions. The optimization is done by using DARLA, a powerful heuristictechnique.

کلیدواژه ها:

Anti-lock Braking System (ABS) ، Discrete Action Reinforcement Learning Automata (DARLA) ، Fuzzy Controller

نویسندگان

Nahid Ebrahimi Meymand

Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman ,Iran

Aliakbar Gharaveisi

Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman ,Iran