Development of an intelligent electric drive control system anchor winch

被引:0
|
作者
Cherniy, Sergey P. [1 ]
Timofeev, Anton K. [1 ]
Buzikaeva, Alina, V [1 ]
机构
[1] Komsomolsk On Amur State Univ, Dept Elect Drive & Automat Ind Installat, St Lenin 27, Komsomolsk On Amur 681013, Russia
来源
关键词
electric drive; anchor winch; fuzzy regulator; linguistic variable; intelligent control system; Sugeno output algorithm;
D O I
10.37220/MIT.2021.54.4.051
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper is devoted to the modeling of an intelligent control system for the electric drive of an anchor winch using the theory of fuzzy sets. The analysis of the existing control systems for electric drives of anchor and mooring units based on various traditional control schemes was given, the advantages and disadvantages of traditional control systems were shown, and the main disturbances of a significantly non-deterministic nature were identified. Intelligent control procedures in the implemented model of the electric drive control system are implemented by a fuzzy controller. The intelligent control system is based on a fuzzy controller with the Sugeno output algorithm, the formalization of input signals by error is carried out by two linguistic variables. In addition, the advantage of the proposed approach in the construction of control systems for electric drives of anchor and mooring units on the basis of basic quality indicators is shown.
引用
收藏
页码:195 / 200
页数:6
相关论文
共 50 条
  • [41] Electric Drive for Throttle Control of Centrifugal Pump System
    Gevorkov, Levon
    Rossolkin, Anton
    Kallaste, Ants
    Vaimann, Toomas
    2018 IEEE 59TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2018,
  • [42] Measurement and Signal Processing for Electric Drive Control System
    Brandstetter, P.
    Bilek, P.
    Szotkowski, J.
    Vaculik, P.
    PIERS 2011 MARRAKESH: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2011, : 1416 - 1420
  • [43] Combined Optimal Control System for excavator electric drive
    Kurochkin, N. S.
    Kochetkov, V. P.
    Platonova, E. V.
    Glushkin, E. Y.
    Dulesov, A. S.
    INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, AUTOMATION AND CONTROL SYSTEMS 2017, 2018, 327
  • [44] Design and simulation of electric drive truck control system
    Li, Gang
    Zhang, Wenming
    Chen, Shuxin
    Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 2009, 40 (04): : 7 - 10
  • [45] Simulation of H∞ Drive Control System for Electric Vehicle
    Zhang, Chuanwei
    ICMS2009: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 5, 2009, : 167 - 170
  • [46] Control System of Electric Drive for Oxygen Converter Lance
    Lukyanov, S., I
    Mescheryakov, A. Yu
    Shvidchenko, D., V
    Krasilnikov, S. S.
    2015 INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS (SIBCON), 2015,
  • [47] Control strategy for motor drive system of electric vehicle
    Xin, Xiaoshuai
    Shan, Haichao
    Yang, Yang
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2016, 11 (03) : 374 - 383
  • [48] The Development of a Complete Drive System for Pure Electric SUV
    Liu, Xiao-Jing
    Sen, Feng
    25TH WORLD BATTERY, HYBRID AND FUEL CELL ELECTRIC VEHICLE SYMPOSIUM AND EXHIBITION PROCEEDINGS, VOLS 1 & 2, 2010, : 554 - 561
  • [49] Development and application of new intelligent variable frequency traction winch
    Wang L.
    Li J.
    Meitan Kexue Jishu/Coal Science and Technology (Peking), 2022, 50 (04): : 277 - 284
  • [50] Control System of Operating Parameters of Vehicle Electric Drive Taking into Account the Driver State Control System of Operating Parameters of Vehicle Electric Drive
    Varnavsky, Alexander N.
    Sinitsyn, Ivan E.
    Korochkin, Elisey S.
    2017 6TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2017, : 238 - 241