YOn Automotive Electronic Throttle Valve Systems PID Control

被引:0
|
作者
Gzam, Raifa [1 ]
Gharsallaoui, Hajer [2 ]
Benrejeb, Mohamed [1 ]
机构
[1] Tunis El Manar Univ, Natl Engn Sch Tunis, LARA Lab, Tunis, Tunisia
[2] Univ Sousse, Natl Engn Sch Sousse, Sousse, Tunisia
关键词
PID control; ETV; linear model; nonlinear model; simplified model; tracking trajectory; nonlinear control;
D O I
10.1109/IC_ASET61847.2024.10596191
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, PID-based controllers are designed for linear, nonlinear and simplified models of an Electronic Throttle Valve (ETV). However, the ETV system is basically nonlinear and can be described by different mathematical models. Otherwise, due to the non-smooth nonlinearities such as friction and nonlinear spring in the system, it is difficult to control the ETV angle position, especially the desired transient response's performances. Motivated by the conventional PID control simplicity, robustness and validity to deal with the nonlinearities of ETV system, the main purpose of this current work is to find the simplest PID control elaborated for the linearized ETV system and then to generalize its application to the nonlinear and the simplified ones. Simulation results show the effectiveness of the developed PID control approaches in terms of desired trajectory tracking even in the presence of multiple nonlinearities for different given ETV models. Comparative and simulation analyses are performed to illustrate the tracking performance of the different proposed PID controllers for ETV.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve
    Hui Wang
    Xiaofang Yuan
    Yaonan Wang
    Yimin Yang
    Neural Computing and Applications, 2013, 22 : 329 - 336
  • [32] Neural networks based self-learning PID control of electronic throttle
    Xiaofang Yuan
    Yaonan Wang
    Nonlinear Dynamics, 2009, 55 : 385 - 393
  • [33] Variable Structure Single Neuron Adaptive PSD Control of Automotive Electronic Throttle
    Zheng, Taixiong
    Hao, Xu
    Li, Yongfu
    Yang, Bin
    Shi, Lichen
    Han, Weimin
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 1764 - 1768
  • [34] The Automotive Electronic Throttle Control Based on the Non-linear Torque Observer
    Zhang HongTao
    He JiDu
    Liu JinPing
    MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3, 2011, 467-469 : 152 - 159
  • [35] A Fuzzy Approach for Optimal Robust Control Design of an Automotive Electronic Throttle System
    Sun, Hao
    Zhao, Han
    Huang, Kang
    Qiu, Mingming
    Zhen, Shengchao
    Chen, Ye-Hwa
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (02) : 694 - 704
  • [36] Neural networks based self-learning PID control of electronic throttle
    Yuan, Xiaofang
    Wang, Yaonan
    NONLINEAR DYNAMICS, 2009, 55 (04) : 385 - 393
  • [37] SVM-based approximate model control for electronic throttle valve
    Yuan, Xiaofang
    Wang, Yaonan
    Wu, Lianghong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (05) : 2747 - 2756
  • [38] A Novel Adaptive Control Scheme for Automotive Electronic Throttle Based on Extremum Seeking
    Chen, Lin
    Wang, Yilin
    Zhao, Jing
    Ding, Shihong
    Gao, Jinwu
    Chen, Hong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2023, 70 (06) : 2599 - 2611
  • [39] Discrete-time sliding mode control of electronic throttle valve
    Özgüner, Ü
    Hong, SG
    Pan, YD
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 1819 - 1824
  • [40] Adaptive finite time servo control for automotive electronic throttle with experimental analysis
    Jiao, Xiaohong
    Li, Guanghui
    Wang, Hui
    MECHATRONICS, 2018, 53 : 192 - 201