Adaptive control of BLDC driven robot manipulators in task space

被引:7
作者
Unver, Sukru [1 ]
Selim, Erman [1 ,3 ]
Tatlicioglu, Enver [1 ]
Zergeroglu, Erkan [2 ]
Alci, Musa [1 ]
机构
[1] Ege Univ, Elect & Elect Engn, Izmir, Turkiye
[2] Gebze Tech Univ, Comp Engn, Kocaeli, Turkiye
[3] Ege Univ, Elect & Elect Engn Dept, TR-35100 Bornova, Turkiye
关键词
adaptive control; electric actuators; Lyapunov methods; manipulator kinematics; TRACKING CONTROL; KINEMATICS; DYNAMICS; DESIGN; MODEL; UNCERTAINTIES; MOTOR;
D O I
10.1049/cth2.12631
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, task space tracking control of robot manipulators driven by brushless DC (BLDC) motors is considered. Dynamics of actuators are taken into account and the entire electromechanical system (i.e. kinematic, dynamic, and electrical models) is assumed to include parametric/structured uncertainties. A novel adaptive controller is designed and the stability of the closed loop system is ensured via novel Lyapunov type tools. To demonstrate performance and applicability of the proposed method, a simulation study is conducted using the model of a two degree of freedom, planar robotic manipulator driven by BLDC motors.
引用
收藏
页码:1910 / 1921
页数:12
相关论文
共 50 条
  • [41] Adaptive control of robot manipulators driven by permanent magnet synchronous motors using orthogonal functions theorem
    Khorashadizadeh, Saeed
    Zirkohi, Majid Moradi
    Eliasi, Hussein
    Gholipour, Reza
    JOURNAL OF VIBRATION AND CONTROL, 2023, 29 (11-12) : 2789 - 2801
  • [42] Task-Space Adaptive Dynamic Modularity Control of Free-Floating Space Manipulators
    Wang, Hanlei
    Cheng, Long
    Xie, Yongchun
    2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [43] Taylor-based adaptive sliding mode control method for robot manipulators
    Fateh, Alireza
    Momeni, Hamidreza
    Masouleh, Mehdi Tale
    IET CONTROL THEORY AND APPLICATIONS, 2023, 17 (09) : 1105 - 1115
  • [44] Adaptive Neural Output Feedback Control for Uncertain Robot Manipulators with Input Saturation
    Mei, Rong
    Yu, ChengJiang
    COMPLEXITY, 2017,
  • [45] Decentralized adaptive control of electrically-driven manipulators
    Colbaugh, R
    Glass, K
    COMPUTERS & ELECTRICAL ENGINEERING, 1996, 22 (06) : 383 - 401
  • [46] Control of robot manipulators in task-space under uncertainties using neural network
    Singh, H. P.
    Sukavanam, N.
    INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, 2011, 1 (02) : 142 - 155
  • [47] Unified force and motion adaptive-integral control of flexible robot manipulators
    de Cos, Carlos R.
    Acosta, Jose angel
    ISA TRANSACTIONS, 2025, 158 : 586 - 593
  • [48] T-S Fuzzy Adaptive Control Based on Small Gain Approach for an Uncertain Robot Manipulators
    Fan, Yongqing
    An, Yue
    Wang, Wenqing
    Yang, Chenguang
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2020, 22 (03) : 930 - 942
  • [49] Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators
    Huang, Junning
    Tateo, Davide
    Liu, Puze
    Peters, Jan
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2025, 10 (03): : 2454 - 2461
  • [50] Robust Control of Robotic Manipulators in the Task-Space Using an Adaptive Observer Based on Chebyshev Polynomials
    Gholipour, Reza
    Fateh, Mohammad Mehdi
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 33 (05) : 1360 - 1382