Adaptive fuzzy sliding mode control using adaptive sliding gain for MEMS gyroscope

Fei, Juntao; Xin, Mingyuan; Juan, Wanru

doi:10.1177/0142331212455451

Cited by 14 publications

(15 citation statements)

References 18 publications

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“…It is not blowing it out of proportion that applying various control algorithms to MEMS devices to yield error subside and a better performance is a nonnegligible problematic issue [9][10][11][12][13][14]. In addition, adaptive and robust control methods lie in the center of meticulousness and challenge due to deficiency in modeling of MEMS devices and the parametric uncertainties in fabrication procedures [15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control of MEMS AC Voltage Reference Source

Ranjbar

Mehrnezhad

Suratgar

2017

Journal of Control Science and Engineering

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The accuracy of physical parameters of a tunable MEMS capacitor, as the major part of MEMS AC voltage reference, is of great importance to achieve an accurate output voltage free of the malfunctioning noise and disturbance. Even though strenuous endeavors are made to fabricate MEMS tunable capacitors with desiderated accurate physical characteristics and ameliorate exactness of physical parameters' values, parametric uncertainties ineluctably emerge in fabrication process attributable to imperfections in micromachining process. First off, this paper considers applying an adaptive sliding mode controller design in the MEMS AC voltage reference source so that it is capable of giving off a well-regulated output voltage in defiance of jumbling parametric uncertainties in the plant dynamics and also aggravating external disturbance imposed on the system. Secondly, it puts an investigatory comparison with the designed model reference adaptive controller and the pole-placement state feedback one into one's prospective. Not only does the tuned adaptive sliding mode controller show remarkable robustness against slow parameter variation and external disturbance being compared to the pole-placement state feedback one, but also it immensely gets robust against the external disturbance in comparison with the conventional adaptive controller. The simulation results are promising.

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Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control of MEMS AC Voltage Reference Source

Ranjbar

Mehrnezhad

Suratgar

2017

Journal of Control Science and Engineering

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“…Intelligent control methods have been investigated to control the MEMS gyroscope [3,4]. Fei et al [5] incorporated the SMC strategy into adaptive control for the vibration of MEMS gyroscope. John and Vinay [6] proposed a novel concept for an adaptively controlled triaxial angular velocity sensor device.…”

Section: Introductionmentioning

confidence: 99%

Adaptive nonsingular terminal sliding mode control of MEMS gyroscope based on backstepping design

Fei

Yan

Yang

2014

Adaptive Control & Signal

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An adaptive nonsingular terminal sliding mode (NTSM) tracking control scheme based on backstepping design is presented for micro-electro-mechanical systems (MEMS) vibratory gyroscopes in this paper. The NTSM controller is designed based on backstepping strategy to eliminate the singularity, while ensuring the control system to reach the sliding surface and converge to equilibrium point in a finite period of time from any initial state. In addition, the proposed approach develops an online identifier scheme, which can real-time estimate the angular velocity and the damping and stiffness coefficients. All adaptive laws in the control system are derived in the same Lyapunov framework, which can guarantee the globally asymptotical stability of the closed-loop system. Numerical simulations for a MEMS gyroscope are investigated to demonstrate the validity of the proposed control approaches.

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“…The AFSMC is directly cited from corresponding adaptive fuzzy sliding-mode control references. 7,8,[11][12][13] Consider a nonlinear system is written as…”

Section: Adaptive Fuzzy Sliding Mode Controlmentioning

confidence: 99%

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

Qiu¹,

Wang²,

Zhang³

et al. 2017

IJAV

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A translating flexible beam system driven by a rodless cylinder using a proportional valve is proposed. Active vibration control of the flexible beam is developed by using a pneumatic cylinder and a surface-bonded piezoelectric actuator. The experimental test bed constitutes a pneumatic circuit, piezoelectric control system, and corresponding interface circuits. Then, a proportional derivative (PD) controller and an adaptive fuzzy sliding mode control (AFSMC) algorithm are designed and applied to vibration control of the experimental system. Experiments are conducted for set-point residual vibration suppression and resonant vibration control under the excitation of the first mode. The experimental results indicate that the designed controllers can increase the damping of the system to damp out the residual vibration and minimize certain resonant responses.

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Adaptive fuzzy sliding mode control using adaptive sliding gain for MEMS gyroscope

Cited by 14 publications

References 18 publications

Adaptive Sliding Mode Control of MEMS AC Voltage Reference Source

Adaptive Sliding Mode Control of MEMS AC Voltage Reference Source

Adaptive nonsingular terminal sliding mode control of MEMS gyroscope based on backstepping design

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

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