Adaptive mode tuning for vibrational gyroscopes

Leland, R.P.

doi:10.1109/tcst.2003.809240

Cited by 83 publications

(52 citation statements)

References 16 publications

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“…In [7] and [8], the input frequency is dependent on the mechanics of device and changes with en vironmental variations. As an alternative to the PLL control, an adaptive controller [9] is developed to tune the closed-loop frequency of the drive axis to a fixed frequency chosen by the designer. However, in [9], the amplitude regulation of the drive axis is disregarded.…”

Section: Icro-electro-mechanical Systems (Mems)mentioning

confidence: 99%

Drive-Mode Control for Vibrational MEMS Gyroscopes

Dong

Avanesian

2009

IEEE Trans. Ind. Electron.

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Section: Icro-electro-mechanical Systems (Mems)mentioning

confidence: 99%

Drive-Mode Control for Vibrational MEMS Gyroscopes

Dong

Avanesian

2009

IEEE Trans. Ind. Electron.

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“…In the last few years, some control approaches have been proposed to control the MEMS vibratory rate gyroscope (Leland, 2003;Park and Horowitz, 2003;Oboe et al, 2005;Salah et al, 2010). The MEMS gyroscope have nonlinear dynamics with uncertainties and disturbances and therefore the conventional control approaches based on linearized model do not give satisfactory control performance.…”

Section: Introductionmentioning

confidence: 99%

Design of an Adaptive Fuzzy Sliding Mode Control Using Supervisory Fuzzy Control for Micro-Electro-Mechanical Systems (MEMS) Z-Axis Gyroscope

Moghanni-Bavil-Olyaei

Gholami

2014

Journal of Low Frequency Noise, Vibration and Active Control

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This paper presents a novel robust adaptive control strategy for MEMS gyroscope, based on the coupling of the fuzzy logic control with sliding mode control (SMC) approach and adaptive laws. The drawbacks of the conventional SMC include chattering phenomenon and requirement of a priori knowledge of the bounds of uncertainties. In this paper, these problems are suitably attenuated by adopting an adaptive fuzzy sliding mode control (AFSMC) approach which uses two additional fuzzy self-tuning controllers as supervisory fuzzy systems to adaptively tune the output control gain, sliding gain of the AFSMC in order to speed up the convergence rates of the tracking errors and parameter estimations with a desired level of attenuation. Control system stability is proved by Lyapunov method. Numerical simulations using the MEMS gyroscope model with uncertainties demonstrate the effectiveness of this approach in high speed trajectory tracking problems and robustness in estimating the gyroscope parameters and the angular velocity. Numerical simulations show that the chattering is effectively attenuated by this method. Convergence rate of tracking errors and the gyroscope parameters is better than convergence rates in the literature.

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“…Other research has been presented that develops alternate drive methods for both axes of the Z-axis MEMS gyroscope. In [22], the authors extended the previous development of [26] to develop controllers for both axes. Specifically, an adaptive resonant frequency tuning controller for the drive axis was proposed and an adaptive controller for angular rate sensing was developed under the assumption that the timevarying angular rate can be approximated by a polynomial function in a finite time interval.…”

Section: Introductionmentioning

confidence: 99%

Sensing of the time-varying angular rate for MEMS Z-axis gyroscopes

et al. 2010

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a b s t r a c tIn this paper, a nonlinear estimation strategy for sensing the time-varying angular rate of a Z-axis MEMS gyroscope is presented. An off-line adaptive least-squares estimation strategy is first developed to accurately estimate the unknown model parameters. Both axes of a Z-axis MEMS gyroscope are then actively controlled utilizing an on-line controller/observer to facilitate time-varying angular rate sensing. The proposed nonlinear estimation strategy is developed based on a Lyapunov-based analysis, which proves that the time-varying angular rate experienced by the device can be estimated accurately. Two cases for angular rate are investigated which are time-varying and constant magnitudes. An adaptive controller/observer was also utilized for sensing the angular rate to investigate the performance of the proposed controller/observer. Representative numerical results are discussed to demonstrate the performance of the proposed nonlinear strategy in accurately sensing the applied angular rate. Overall, the proposed nonlinear controller/observer improves sensing the constant angular rate by 50% and the time-varying angular rate by 90% when compared with an adaptive controller/observer.

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Adaptive mode tuning for vibrational gyroscopes

Cited by 83 publications

References 16 publications

Drive-Mode Control for Vibrational MEMS Gyroscopes

Drive-Mode Control for Vibrational MEMS Gyroscopes

Design of an Adaptive Fuzzy Sliding Mode Control Using Supervisory Fuzzy Control for Micro-Electro-Mechanical Systems (MEMS) Z-Axis Gyroscope

Sensing of the time-varying angular rate for MEMS Z-axis gyroscopes

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