DocumentCode :
2977296
Title :
Design of embedded motion control system based on Modified Fuzzy Logic Controller for intelligent cruise controlled Vehicles
Author :
Arif, Suki ; Iqbal, Jamshed ; Munawar, S.
Author_Institution :
Dept. of Mechatron. Eng., NUST Coll. of Electr. & Mech. Eng., Rawalpindi, Pakistan
fYear :
2012
fDate :
22-23 Oct. 2012
Firstpage :
19
Lastpage :
25
Abstract :
Cruise control is an efficient and effective automotive system being used in numerous vehicles around the world. In this work, an intelligent cruise control system is designed and simulated. This embedded motion control system is based on Fuzzy logic control for closed loop speed control of DC motor which can be a part of any hybrid vehicle drive system. This Modified Fuzzy Logic Controller (MFLC) has less computational cost as compared to conventional Fuzzy Logic Controller so that an ordinary 8-bit/16-bit low cost Microcontroller can be used as its hardware platform. Analysis is done on the efficiency of intelligent control system over conventional control technique. Simulation results shows that intelligent systems can better reduce fuel economy, design and maintenance cost and processing time of microprocessor, so that, this intelligent cruise control can be easily incorporated in any type of vehicle requiring efficient, fast and low cost speed control.
Keywords :
DC motor drives; angular velocity control; automobiles; closed loop systems; control system synthesis; embedded systems; fuel economy; fuzzy control; hybrid electric vehicles; intelligent control; maintenance engineering; microcontrollers; motion control; DC motor; MFLC; automotive system; closed loop speed control; embedded motion control system design; fuel economy; hardware platform; hybrid vehicle drive system; intelligent control system; intelligent cruise controlled vehicles; intelligent systems; low cost speed control; maintenance cost; microcontroller; microprocessor processing time; modified fuzzy logic controller; word length 16 bit; word length 8 bit; Computational modeling; Control systems; Fuzzy logic; Mathematical model; Permanent magnet motors; Pulse width modulation; Vehicles; Cruise Control; DC Motor Control; Fuzzy Logic Controller; Intelligent Control System; Mechatronic System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Artificial Intelligence (ICRAI), 2012 International Conference on
Conference_Location :
Rawalpindi
Print_ISBN :
978-1-4673-4884-3
Type :
conf
DOI :
10.1109/ICRAI.2012.6413421
Filename :
6413421
Link To Document :
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