Design of the Self-Adaptive Sliding Mode Position Controller based on Genetic Algorithm Optimization for the Servo Motor Drive System

被引：0
|
作者：
Jiao, Leiming [1 ]
Luo, Yanhong [1 ]
Zhang, Pengqiao [2 ]
Li, Linlin [3 ]
Zheng, Xiangtian [4 ]
Qi, Ge [1 ]
Jia, Hong [5 ]
Liu, Hengyu [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
[2] State Grid Liaoning Elect Power Co Ltd, Yingkou Power Supply Co, Yingkou, Peoples R China
[3] Qianhai Shenzhen FellowPlus Internet Financial Se, Beijing, Peoples R China
[4] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[5] State Grid Chaoyang Elect Power Supply Co, Chaoyang, Liaoning, Peoples R China
来源：
2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC) | 2017年
关键词：
the self-adaptive sliding mode control; genetic algorithm; optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The self-adaptive sliding mode position controller based on genetic algorithm optimization is designed for the servo motor drive system. Firstly, the self-adaptive sliding mode position controller is researched to estimate the magnitude of the unknown disturbance in the perturbed system. Then, the adaptive genetic algorithm is used to optimize the ideal adaptive parameters and switching parameters. In the end of the paper, several simulation experiments are carried out to test the performance of the system. The results show that the adaptive genetic algorithm has better control performance and position tracking response for the system parameter variation and external load disturbance.
引用
收藏
页码：821 / 825
页数：5
相关论文
共 50 条
  • [41] Self tuning regulator for sliding mode controller in AC servo system
    Li, Jiusheng
    Wang, Yan
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2000, 15 (05): : 6 - 10
  • [42] Optimization of Sliding Mode Controller for Double Inverted Pendulum Based on Genetic Algorithm
    Huang Wei
    Qi Qian
    Huang Qiaoli
    Zhao Yixin
    Xiao Lin
    2008 2ND INTERNATIONAL SYMPOSIUM ON SYSTEMS AND CONTROL IN AEROSPACE AND ASTRONAUTICS, VOLS 1 AND 2, 2008, : 730 - 734
  • [43] OPTIMUM GLOBAL SLIDING MODE CONTROLLER FOR DC MOTOR SERVO SYSTEM BASED ON DISTURBANCE OBSERVER
    Zheng, Zhongjiu
    JOURNAL OF THE BALKAN TRIBOLOGICAL ASSOCIATION, 2016, 22 (01): : 160 - 170
  • [44] Robust controller of AC servo system based on sliding mode
    Li, Jiusheng
    Wang, Yan
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2000, 32 (02): : 19 - 23
  • [45] Sliding mode controller with sliding perturbation observer based on gain optimization using genetic algorithm
    You, KS
    Son, K
    Lee, MC
    Yoo, WS
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 1958 - 1963
  • [46] Sliding mode controller with sliding perturbation observer based on gain optimization using genetic algorithm
    You, KS
    Lee, MC
    Yoo, WS
    KSME INTERNATIONAL JOURNAL, 2004, 18 (04): : 630 - 639
  • [47] Sliding mode controller with sliding perturbation observer based on gain optimization using genetic algorithm
    Ki Sung You
    Min Cheol Lee
    Wan Suk Yoo
    KSME International Journal, 2004, 18 : 630 - 639
  • [48] Fractional order adaptive fuzzy sliding mode controller for a position servo system subjected to aerodynamic loading and nonlinearities
    Ullah, Nasim
    Wang Shaoping
    Khattak, Muhammad Irfan
    Shafi, Muhammad
    AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 43 : 381 - 387
  • [49] The novel adaptive sliding mode controller for synchronous reluctance motor speed drive
    Chen, Chien-An
    Chiang, Huann-Keng
    Lin, Bor-Ren
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2010, 20 (08): : 1058 - 1070
  • [50] Optimization of Fuzzy Sliding Mode Controller with Improved Genetic Algorithm
    Guo, Liang
    Zheng, Chao
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 722 - 726
12345