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Analysis Research of Control Method Model on Automobile Brake Test Rig

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Warianty tytułu
PL
Analiza metody sterowania układem hamulcowym pojazdów samochodowych
Języki publikacji
EN
Abstrakty
EN
This paper, firstly in accordance with the engineering design method, PID controller are used to control the current loop and speed loop common on double closed-loop DC converter, and build dual-loop PID control model, and Matlab’s emulation to model, as well as analysis and evaluate the structural of the simulation. Because conventional PID control can not meet the parameters of the controlled object changes and lack of non-linear characteristics, the fuzzy self-tuning PID can overcome the uncertainty and nonlinear objects, furthermore the fuzzy self-tuning PID has more flexibility and adaptability, so this paper putting to use fuzzy self-tuning PID controller for dual-speed loop in the closed-loop system to transform, so that it has not or less affected by the object model, you can achieve high performance, robustness and other advantages.
PL
W artykule opisano metodę testowania system hamulcowego w pojazdach samochodowych. Ay uniezależnić wyniki testu od parametrów układu sterowania zaproponowano ulepszony kontroler PID z automatycznym strojeniem i wykorzystaniem logiki rozmytej.
Rocznik
Strony
375--378
Opis fizyczny
Bibliogr. 9 poz., schem., wykr.
Twórcy
autor
  • School of Automation & Electrical Engineering, Lanzhou Jiaotong University ( LZJTU )Lanzhou,730070, China
  • College of Electrical Engineering, Northwest University for Nationalities, Lanzhou,730030, China
autor
  • School of Automation & Electrical Engineering, Lanzhou Jiaotong University ( LZJTU )Lanzhou,730070, China
autor
  • School of Automation & Electrical Engineering, Lanzhou Jiaotong University ( LZJTU )Lanzhou,730070, China
Bibliografia
  • [1] Zhong Tianyu "electrical inertia simulation system of" [D], Jilin University, a master's degree thesis, 2003.
  • [2] Ruan Yi, Chen are "motion control system", Beijing: Tsinghua University Press, 2006, p. 33 - 106.
  • [3] Chen Boshi, "electric drive control system", Beijing: Mechanical Industry Press, 2000, p. 49 - 90.
  • [4] Hu Shousong "automatic control theory", Beijing: Science Press, 2008, 2nd edition, p. 164 - 202.
  • [5] ZHOU spin "test Taipower inertia brake system control method" [D], Jilin University, a master's degree thesis, 2005.
  • [6] Shao-Yuan, Wang Jingcheng, "intelligent control", Beijing: Mechanical Industry Press, 2009, 2nd edition, p. 25 - 93.
  • [7] Tao Yonghua, Yi-Xin Yin, Ge Lusheng "new PID control and its application", Beijing: Mechanical Industry Press, 1998, 1 to 35, 95-128.
  • [8] Liu Jinkun "Advanced PID control and MATLAB simulation", Beijing: Electronic Industry Press, 2nd edition, 2004, p. 94-118.
  • [9] Chang Xiao Heng "adaptive fuzzy-tuning PID controller design" [D], Liaoning Technical University, a master's degree thesis, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8dac3605-b142-44c3-b67c-984336cab641
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