Intelligent Control System of Automobile Window using Fuzzy Logic

被引:0
|
作者
Mashhadi, Seyyed Kamaloddin Mousavi [1 ]
Aminian, Amir [2 ]
Nia, Mojtaba Shokohi [3 ]
机构
[1] Iran Univ Sci & Technol, Fac Elect Engn, Tehran, Iran
[2] Khorasan Inst Higher Educ, Mashhad, Iran
[3] Islamic Azad Univ, Fac Control Engn, Damghan Branch, Tehran, Iran
来源
关键词
regulating height of automobile window; sensitivity to CO and CO2; fuzzy linear regression; MATLAB fuzzy logic;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
It has been attempted to develop an intelligent control system based on fuzzy logic to regulate height of automobile windows in this paper. An ATMega32 microcontroller is responsible for the system of fuzzy control programmed by Bascom AVR software. The control system involves two manual and automatic modes. In the automatic mode, there is no need to keep switch pressed for complete up and down functions of the window. Meanwhile, using the designed system is both convenient and accurate with the possibility to regulate position of the window after turning off the car. Another feature of this system is its sensitivity to carbon monoxide and carbon dioxide gasses. Whenever the extent of CO or CO2 gasses exceeds an allowable limit, the windows will automatically come down in order to prevent asphyxiation of passengers. Simulation was implemented by MATLAB using fuzzy logic and the obtained results were compared with those from fuzzy linear regression method.
引用
收藏
页码:126 / 133
页数:8
相关论文
共 50 条
  • [1] DESIGN OF INTELLIGENT CONTROL FOR HVAC SYSTEM USING FUZZY LOGIC
    Munoz, Andreas
    Santos, Matilde
    Lopez, Victoria
    [J]. DECISION MAKING AND SOFT COMPUTING, 2014, 9 : 424 - 429
  • [2] Fuzzy Logic for Intelligent Control System Using Soft Computing Applications
    Dumitrescu, Catalin
    Ciotirnae, Petrica
    Vizitiu, Constantin
    [J]. SENSORS, 2021, 21 (08)
  • [3] Intelligent Heating System Temperature Control Method Using Fuzzy Logic
    Jurenoks, Aleksejs
    Novickis, Leonids
    [J]. 2017 IEEE 58TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2017,
  • [4] Fuzzy logic based intelligent control for irrigation system
    Selvathi, D
    Salivahanan, S
    Indumathi, G
    Kumar, KRV
    Thamaraiselvi, S
    [J]. IETE TECHNICAL REVIEW, 2003, 20 (03): : 199 - 203
  • [5] Fuzzy logic intelligent control system of magnetic bearings
    Lei, Shuliang
    Palazzolo, Alan
    Kascak, Albert
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 570 - +
  • [6] The intelligent control for mobile system(II); with fuzzy logic
    Kim, SJ
    Kim, JS
    Jeon, HT
    [J]. 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL, III, PROCEEDINGS: COMMUNICATION, NETWORK AND CONTROL SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2003, : 153 - 156
  • [7] DESIGN AND CONSTRUCTION OF INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM USING FUZZY LOGIC
    Lin, Htin
    Aye, Khin Muyar
    Tun, Hla Myo
    Naing, Zaw Min
    [J]. INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION, 2008, 1052 : 237 - +
  • [8] Intelligent Optimization of Adaptive Dynamic Window Approach for Mobile Robot Motion Control Using Fuzzy Logic
    Abubakr, Omer Ali
    Jaradat, Mohammad A. A.
    Abdel-Hafez, Mamoun F. F.
    [J]. IEEE ACCESS, 2022, 10 : 119368 - 119378
  • [9] Navigation control of an intelligent wheelchair using fuzzy logic
    Maeda, M
    Nakayama, Y
    Murakami, S
    [J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 1999, 7 (04) : 327 - 336
  • [10] Research on the Intelligent Control and Simulation of Automobile Cruise System Based on Fuzzy System
    Chen, Xue-wen
    Zhang, Jin-guo
    Liu, Yan-jun
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016