Robust Vibration Control and Angular Velocity Estimation of a Single-Axis MEMS Gyroscope Using Perturbation Compensation

被引:11
|
作者
Hosseini-Pishrobat, Mehran [1 ]
Keighobadi, Jafar [1 ]
机构
[1] Univ Tabriz, Fac Mech Engn, Tabriz 5166614766, Iran
关键词
MEMS gyroscope; Perturbation compensation; Extended state observer; Vibration control; Angular velocity estimation; SLIDING MODE CONTROL; ADAPTIVE-CONTROL; OBSERVER; SYSTEMS; NOISE;
D O I
10.1007/s10846-018-0789-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper discusses a perturbation compensation-based robust vibration controller for single-axis MEMS gyroscope applications. The purpose is to obtain a robust and stable operation mode of the gyroscope and improve its capability in estimating time-varying angular velocities. First, based on the force-balancing operation mode, an estimator is designed for real-time identification of input angular velocities. Next, to facilitate the angular velocity sensing, a control system is designed that comprises a nominal controller gathered with a perturbation compensator. In the perturbation compensation stage, a nonlinear extended state observer (NESO) is designed to estimate the perturbations due to parametric uncertainty, undesired couplings, Coriolis acceleration and mechanical-thermal noises. In the nominal control stage, by applying the internal model principle, an output regulator is developed. The outputs of both NESO and nominal regulator are combined to attain the robust vibration control of the gyroscope. The closed-loop stability and robustness are analytically proved through Lyapunov's direct method. To show the effectiveness of the proposed closed-loop operation mode, extensive numerical simulations are carried out by the experimental data of an inertial navigation system (INS).
引用
收藏
页码:61 / 79
页数:19
相关论文
共 50 条
  • [21] Angular Rate Error Compensation of MEMS Based Gyroscope Using Artificial Neural Network
    Pawase, Ramesh
    Futane, N. P.
    2015 INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING (ICPC), 2015,
  • [22] A Robust Incremental-Quaternion-Based Angle and Axis Estimation Algorithm of a Single-Axis Rotation Using MARG Sensors
    Xu, Xiaolong
    Tian, Xincheng
    Zhou, Lelai
    IEEE ACCESS, 2018, 6 : 42605 - 42615
  • [23] Single-axis swept sine vibration control using extended Quasi-Newton method
    Yang, Zhi-Dong
    Cong, Da-Cheng
    Han, Jun-Wei
    Li, Hong-Ren
    Zhendong yu Chongji/Journal of Vibration and Shock, 2008, 27 (03): : 99 - 103
  • [24] A relationship between fatigue damage estimation under multi-axis and single-axis random vibration
    Proner, Enrico
    Mucchi, Emiliano
    Tovo, Roberto
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 215
  • [25] Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator
    Fei, Juntao
    Zhou, Jian
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (06): : 1599 - 1607
  • [26] Adaptive Sliding Mode Control of a Three-DOF MEMS Vibratory Tri-axial Gyroscope with the Capability of Angular Velocity Estimation
    Ranjbar, Ehsan
    Suratgar, Amir Abolfazl
    2021 7TH INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION AND AUTOMATION (ICCIA), 2021, : 321 - 327
  • [27] Adaptive vibration control for MEMS vibratory gyroscope using backstepping sliding mode control
    Xin, Mingyuan
    Fei, Juntao
    JOURNAL OF VIBRATION AND CONTROL, 2015, 21 (04) : 808 - 817
  • [28] Angular speed estimation and two-axis attitude control of a spacecraft using a variable-speed control moment gyroscope
    Jin J.
    Journal of Institute of Control, Robotics and Systems, 2010, 16 (11) : 1104 - 1109
  • [29] Design of a Composite Adaptive Controller For the Single-axis 2-DOF MEMS Vibratory Gyroscope with the Competency Of Rotation Rate Measurement
    Ranjbar, Ehsan
    Suratgar, Amir Abolfazl
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2018, 20 (03): : 36 - 49
  • [30] Robust PID Control of Single-axis Gimbal Actuator via Stability Boundary Locus
    Sharma, Jitendra
    Hote, Yogesh V.
    Prasad, Rajendra
    IFAC PAPERSONLINE, 2020, 53 (01): : 27 - 32