Time filter

Source Type

Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Yang Y.,Hohai University
Mathematical Problems in Engineering | Year: 2011

Fabrication defects and perturbations affect the behavior of a vibratory MEMS gyroscope sensor, which makes it difficult to measure the rotation angular rate. This paper presents a novel adaptive approach that can identify, in an online fashion, angular rate and other system parameters. The proposed approach develops an online identifier scheme, by rewriting the dynamic model of MEMS gyroscope sensor, that can update the estimator of angular rate adaptively and converge to its true value asymptotically. The feasibility of the proposed approach is analyzed and proved by Lyapunov's direct method. Simulation results show the validity and effectiveness of the online identifier. © 2011 Juntao Fei and Yuzheng Yang.

Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University
IET Control Theory and Applications | Year: 2010

This study presents an adaptive sliding mode controller for a micro-electro-mechanical systems (MEMS) z-axis vibratory gyroscope. The adaptive model reference state tracking control with sliding mode controller is developed to estimate the angular velocity, the damping and stiffness coefficients of MEMS vibratory gyroscope in real time. An adaptive controller that can estimate the unknown upper bound of the parameter uncertainties and external disturbance is derived and the stability of the closed-loop system is established. The adaptive sliding mode controller is designed so that the trajectory of the driving axes can track the state of the reference vibration model. The effectiveness of the proposed scheme is demonstrated through numerical simulations on an MEMS vibratory gyroscope. © 2010 The Institution of Engineering and Technology.

Fei J.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Fei J.,Hohai University | Ding H.,Hohai University
International Journal of Advanced Robotic Systems | Year: 2010

This paper presents an adaptive control approach for Micro-Electro- Mechanical Systems (MEMS) z-axis gyroscope sensor. The dynamical model of MEMS gyroscope sensor is derived and adaptive state tracking control for MEMS gyroscope is developed. The proposed adaptive control approaches can estimate the angular velocity and the damping and stiffness coefficients including the coupling terms due to the fabrication imperfection. The stability of the closed-loop systems is established with the proposed adaptive control strategy. Numerical simulation is investigated to verify the effectiveness of the proposed control scheme.

Xiao J.-K.,Hohai University | Xiao J.-K.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Zhu W.-J.,Hohai University
International Conference on Communication Technology Proceedings, ICCT | Year: 2010

Triangular patch resonators have important applications in microwave filters and antennas design. In this report, new isosceles right-angled triangular patch resonator bandpass filters with two-path coupling are developed to perform dual-passband, low passband insertion loss and miniaturization, and performances of the proposed filters are compared. New dual-band bandpass filter using single right-angled triangular patch resonator is also presented, and the experiment demonstrates the design. The new filters are some applications of right-angled triangular patch resonator, and are expected to find applications in future wireless communication systems. © 2010 IEEE.

Hua M.,Hohai University | Hua M.,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology | Zhang J.,Hohai University | Chen J.,Hohai University | Fei J.,Hohai University
Transactions of the Institute of Measurement and Control | Year: 2014

This paper presents the robust delay-dependent H∞ filter design for uncertain stochastic systems with time-varying delay. The systems under consideration are subject to time-varying norm-bounded parameter uncertainties and time-varying delays in both the state and measurement equations. The aim is to design a stable full-order linear filter assuring robustly asymptotical stability in mean-square and a prescribed H∞ performance level for the filtering error systems. Based on the delay decomposition approach and a new integral inequality, delay-dependent sufficient conditions for the existence of H∞ filters are proposed in terms of linear matrix inequalities. Finally, two numerical examples demonstrate that the proposed approaches are effective and are an improvement over existing ones. © 2014 The Author(s).

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