New Opportunities in Real-Time Diagnostics of Induction Machines

被引:0
|
作者
Baraskova, Tatjana [1 ]
Kudelina, Karolina [2 ]
Shirokova, Veroonika [1 ]
机构
[1] Tallinn Univ Technol, Virumaa Coll, Mech Engn & Energy Technol Proc Control Work Grp, EE-30322 Kohtla Jarve, Estonia
[2] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, EE-19086 Tallinn, Estonia
关键词
condition monitoring; electromechanical system; induction motors; remote control; real-time monitoring; DIRECT TORQUE; MOTOR; CONTROLLER; SINGLE;
D O I
10.3390/en17133265
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This manuscript addresses the critical challenges in achieving high-accuracy remote control of electromechanical systems, given their inherent nonlinearities and dynamic complexities. Traditional diagnostics often suffer from data inaccuracies and limitations in analytical techniques. The focus is on enhancing the dynamic model accuracy for remote induction motor control in both closed- and open-loop speed control systems, which is essential for real-time process monitoring. The proposed solution includes real-time measurements of input and output physical quantities to mitigate inaccuracies in traditional diagnostic methods. The manuscript discusses theoretical aspects of nonlinear torque formation in induction drives and introduces a dynamic model employing vector control and speed control schemes alongside standard frequency control methods. These approaches optimize frequency converter settings to enhance system performance under varying nonlinear conditions. Additionally, the manuscript explores methods to analyze dynamic, systematic errors arising from frequency converter inertial properties, thereby improving electromechanical equipment condition diagnostics. By addressing these challenges, the manuscript significantly advances the field, offering a promising future with enhanced dynamic model accuracy, real-time monitoring techniques, and advanced control methods to optimize system reliability and performance.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Real-time PCR diagnostics in Glasgow 2008
    Carman, W. F.
    CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2008, 46 (04) : A47 - A65
  • [22] Real-Time Circuit Breaker Health Diagnostics
    Byerly, Jason M.
    Schneider, Carey
    Schloss, Robert
    West, Isaac
    2017 70TH ANNUAL CONFERENCE FOR PROTECTIVE RELAY ENGINEERS (CPRE), 2017,
  • [23] Real-time beams diagnostics for electron accelerators
    Korenev, S
    Korenev, I
    PROCEEDINGS OF THE 26TH INTERNATIONAL POWER MODULATOR SYMPOSIUM AND 2004 HIGH VOLTAGE WORKSHOP, CONFERENCE RECORD, 2004, : 437 - 440
  • [24] Real-time optical diagnostics for epitaxial growth
    Aspnes, DE
    Kamiya, I
    SECOND IBEROAMERICAN MEETING ON OPTICS, 1996, 2730 : 306 - 322
  • [25] REAL-TIME DIAGNOSTICS FOR A LASER FUSION SYSTEM
    APPLEBAUM, DC
    GRIESER, DR
    BEAL, JW
    EPSTEIN, HM
    MALLOZZI, PJ
    OPTICAL ENGINEERING, 1976, 15 (01) : 29 - 34
  • [26] COMPUTER VISION - REAL-TIME SEEING MACHINES
    BLAKE, A
    NATURE, 1987, 328 (6133) : 759 - 760
  • [27] Simulator for real-time abstract state machines
    Vasilyev, Pavel
    FORMAL MODELING AND ANALYSIS OF TIMED SYSTEMS, 2006, 4202 : 337 - 351
  • [28] Approximating Real-Time Scheduling on Identical Machines
    Bansal, Nikhil
    Rutten, Cyriel
    van der Ster, Suzanne
    Vredeveld, Tjark
    van der Zwaan, Ruben
    LATIN 2014: THEORETICAL INFORMATICS, 2014, 8392 : 550 - 561
  • [29] Decentralized real-time simulation of forest machines
    Freund, E
    Adam, F
    Hoffmann, K
    SENSOR FUSION AND DECENTRALIZED CONTROL IN ROBOTIC SYSTEMS III, 2000, 4196 : 243 - 254
  • [30] Virtual machines for distributed real-time systems
    Cereia, Marco
    Bertolotti, Ivan Cibrario
    COMPUTER STANDARDS & INTERFACES, 2009, 31 (01) : 30 - 39