Fractional-order adaptive fault-tolerant control for a class of general nonlinear systems

被引:21
|
作者
Hu, Xinrui [1 ,2 ]
Song, Qi [1 ,2 ]
Ge, Meng [1 ,2 ]
Li, Runmei [3 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Fractional calculus; Nonlinear systems; Fractional-order control; Adaptive control; Actuator failures; SLIDING-MODE CONTROL; DESIGN; STABILIZATION; DELAY;
D O I
10.1007/s11071-020-05768-3
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a series of fractional-order control methods (FOCMs) based on fractional calculus (FC) for a class of general nonlinear systems. In order to deal with the nonlinearities and uncertainties caused by both external and internal factors, the designed control schemes are adaptive, robust, fault-tolerant and do not involve detailed information of the system model. Besides, FC is combined to improve the control performance, especially in higher control accuracy, better anti-interference ability and stronger robustness. For a comprehensive consideration of the practical systems, three different actuator conditions are separately discussed, and the FOCMs are established aiming at these three different situations, respectively, and proved by theoretical analysis. The inverted pendulum system is adopted as simulation object, and the fractional-order schemes are verified and compared with integer-order controller and traditional PID controller. Simulation results make it clear that the proposed FOCMs are superior to other two schemes in control precision, robustness and anti-interference ability.
引用
收藏
页码:379 / 392
页数:14
相关论文
共 50 条
  • [1] Fractional-order adaptive fault-tolerant control for a class of general nonlinear systems
    Xinrui Hu
    Qi Song
    Meng Ge
    Runmei Li
    Nonlinear Dynamics, 2020, 101 : 379 - 392
  • [2] Fuzzy Adaptive Fault-Tolerant Control of Fractional-Order Nonlinear Systems
    Li, Yuan-Xin
    Wang, Quan-Yu
    Tong, Shaocheng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (03): : 1372 - 1379
  • [3] Adaptive neural network decentralized fault-tolerant control for nonlinear interconnected fractional-order systems
    Li, Xiaomei
    Zhan, Yongliang
    Tong, Shaocheng
    NEUROCOMPUTING, 2022, 488 : 14 - 22
  • [4] Adaptive Fault-Tolerant Control for Consensus of Nonlinear Fractional-Order Multi-Agent Systems with Diffusion
    Yang, Yuqian
    Qi, Qingwen
    Hu, Jingyao
    Dai, Jiashu
    Yang, Chengdong
    FRACTAL AND FRACTIONAL, 2023, 7 (10)
  • [5] Adaptive Fuzzy Fault-Tolerant Control of Uncertain Fractional-Order Nonlinear Systems with Sensor and Actuator Faults
    Sun, Ke
    Ma, Zhiyao
    Dong, Guowei
    Gong, Ping
    FRACTAL AND FRACTIONAL, 2023, 7 (12)
  • [6] Adaptive Neural Fault-Tolerant Control for Nonlinear Fractional-Order Systems with Positive Odd Rational Powers
    Ma, Jiawei
    Wang, Huanqing
    Su, Yakun
    Liu, Cungen
    Chen, Ming
    FRACTAL AND FRACTIONAL, 2022, 6 (11)
  • [7] Fractional-Order Adaptive Fault Estimation for a Class of Nonlinear Fractional-Order Systems
    N'Doye, Ibrahima
    Laleg-Kirati, Taous-Meriem
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 3804 - 3809
  • [8] Adaptive fault-tolerant control for a class of fractional order non-strict feedback nonlinear systems
    Wei, Ming
    Li, Yuan-Xin
    Tong, Shaocheng
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2021, 52 (05) : 1014 - 1025
  • [9] An adaptive fault-tolerant control scheme for a class of fractional-order systems with unknown input dead-zones
    Wang, Caiyun
    Liu, Xiaoping
    Wang, Huanqing
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2021, 52 (02) : 291 - 306
  • [10] Fault-Tolerant Control and Diagnosis for Trajectory Tracking in a Class of Nonlinear Fractional Order Systems
    Oliva-Gonzalez, Lorenz Josue
    Martinez-Guerra, Rafael
    IFAC PAPERSONLINE, 2024, 58 (12): : 324 - 329