Modeling of Three-Tank Hybrid System using Mixed Logical Dynamical formalism

被引：3
|
作者：
Yaakoubi, Hanen [1 ]
Haggege, Joseph [1 ]
机构：
[1] Univ Tunis El MANAR, Natl Engn Sch Tunis ENIT, Res Lab Automat Control LARA, BP 37 Le Belvedere, 1002 Tunis, Tunisia
来源：
PROCEEDINGS OF THE 2022 5TH INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND EMERGENT TECHNOLOGIES IC_ASET'2022) | 2022年
关键词：
Hybrid dynamic system (HDS); Mixed Logical Dynamical (MLD) formalism; Three-Tank Hybrid System;
D O I：
10.1109/IC_ASET53395.2022.9765937
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper deals with the modeling of a three-tank system by using Mixed Logical Dynamical (MLD) formalism framework. The main goal of this study is to look for an adequate modeling approach for hybrid systems allowing the synthesis of control laws. This work is aligned to the Mixed Logical Dynamical approach devoted to hybrid dynamic systems (HDS), involving continuous behaviors and discrete events. The MATLAB and HYSDEL (Hybrid Systems Description Language) tools are used to simulate the MLD model of the considered Three-Tank Hybrid System (TTHS).
引用
收藏
页码：55 / 60
页数：6
相关论文
共 50 条
  • [1] Dynamical Feedforward Control of Three-Tank System
    Bistak, Pavol
    COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2017, PT I, 2018, 10671 : 134 - 141
  • [2] Hybrid modeling and predictive control of a multi-tank system: A mixed logical dynamical approach
    Habibi, Jalal
    Moshiri, Behzad
    Sedigh, Ali Khaki
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS, 2006, : 1005 - +
  • [3] Fuzzy predictive control of three-tank system based on a modeling framework of hybrid systems
    Sarailoo, Morteza
    Rezaie, Behrooz
    Rahmani, Zahra
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2014, 228 (06) : 369 - 384
  • [4] Observing a three-tank system
    Hou, M
    Xiong, YS
    Patton, RJ
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (03) : 478 - 484
  • [5] A NEURAL-FUZZY APPROACH FOR FAULT DIAGNOSIS OF HYBRID DYNAMICAL SYSTEMS: DEMONSTRATION ON THREE-TANK SYSTEM
    Achbi, Mohammed Said
    Kechida, Sihem
    Mhamdi, Lotfi
    Dhouibi, Hedi
    ACTA MECHANICA ET AUTOMATICA, 2021, 15 (01) : 1 - 8
  • [6] Fuzzy control of a three-tank system
    Pham, DT
    Li, D
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2001, 215 (05) : 505 - 510
  • [7] Complexity and size analysis of hybrid system modeling with mixed logical dynamical approach
    Mahboubi, Hamid
    Habibi, Jalal
    Moshiri, Behzad
    Khaki-Sedigh, Ali
    PROCEEDINGS OF 2006 MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2, 2006, : 125 - +
  • [8] State estimation of the three-tank system using a multiple model
    Nagy, Anca Maria
    Marx, Benoit
    Mourot, Gilles
    Schutz, Georges
    Ragot, Jose
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 7795 - 7800
  • [9] Hybrid Modeling and Predictive Control of A Fractionated Satellite System: A Mixed Logical Dynamical Approach
    Shi, Xiaoping
    Liu, Hailong
    Li, Long
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 198 - 203
  • [10] Level Fuzzy Control of Three-Tank System
    Mastacan, Lucian
    Dosoftei, Constantin-Catalin
    19TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS 2013), 2013, : 30 - 35
12345