Zobrazeno 1 - 10
of 261
pro vyhledávání: '"micro gyroscope"'
Autor:
Wenyi Huang, Xing Yan, Sengyu Zhang, Zhe Li, Jamal N. A. Hassan, Dingwei Chen, Guangjun Wen, Kai Chen, Guangwei Deng, Yongjun Huang
Publikováno v:
Photonic Sensors, Vol 13, Iss 4, Pp 1-26 (2023)
Abstract Micro-gyroscopes using micro-electro-mechanical system (MEMS) and micro-opto-electro-mechanical system (MOEMS) are the new-generation and recently well-developed gyroscopes produced by the combinations of the traditional gyroscope technology
Externí odkaz:
https://doaj.org/article/e7918f055af448cc88388f9fbae90c68
Publikováno v:
IEEE Access, Vol 9, Pp 55352-55363 (2021)
In this paper, a fractional-order sliding mode control method based on a double recurrent perturbation fuzzy neural network (DRPFNN) is proposed for a micro gyroscope system with parameter uncertainty and external disturbance. The DRPFNN is used to r
Externí odkaz:
https://doaj.org/article/870e0f14fb7c403bb9fd93de50d08628
Autor:
Juntao Fei, Fang Chen
Publikováno v:
IEEE Access, Vol 8, Pp 125097-125108 (2020)
In this paper, a dynamic fractional order sliding mode control method based on a double feedback fuzzy neural network controller is proposed to deal with the unknown parameters and upper bound of uncertainty. Firstly, the switching function of the dy
Externí odkaz:
https://doaj.org/article/10e6b123b5bb41b7b145ddef79f29382
Publikováno v:
Mathematics, Vol 11, Iss 3, p 509 (2023)
This paper proposes a non-singular fast terminal sliding mode control (NFTSMC) method for micro gyroscopes with unknown uncertainty based on gated recurrent fuzzy neural networks (GRFNNs). First, taking advantage of non-singular fast terminal sliding
Externí odkaz:
https://doaj.org/article/2f689c3838564a01938c5991e92fcbb4
Publikováno v:
Micromachines, Vol 14, Iss 1, p 211 (2023)
Electrostatic force nonlinearity is widely present in MEMS systems, which could impact the system sensitivity performance. The Frequency modulation (FM) method is proposed as an ideal solution to solve the problem of environmental fluctuation stabili
Externí odkaz:
https://doaj.org/article/e2dd6da8abe64fbc812fb7fd428d90e8
Autor:
Fang Chen, Juntao Fei
Publikováno v:
IEEE Access, Vol 7, Pp 150565-150572 (2019)
In this paper, an adaptive sliding mode control method based on fractional order method is proposed for the estimation of unknown parameters in micro gyroscope system. Firstly, compared with the traditional integer order sliding surface, the fraction
Externí odkaz:
https://doaj.org/article/9827e348c3d845f1b88d9c14c541814c
Publikováno v:
Micromachines, Vol 13, Iss 3, p 393 (2022)
In this paper, we use the nonlinear hardening stiffness of drive mode deal with the contradiction between gain and bandwidth of the linear micro-gyroscope, to improve the bandwidth and gain in sense direction. Firstly, in order to adjust the distance
Externí odkaz:
https://doaj.org/article/613c392789874bcd91ba4182a6bef8b4
Autor:
Zhilin Feng, Juntao Fei
Publikováno v:
IEEE Access, Vol 6, Pp 64993-65001 (2018)
This paper presents a hybrid control scheme based on a super-twisting sliding mode control and radial basis function (RBF) neural network control method for micro gyroscopes with unknown model uncertainties and external disturbances. In consideration
Externí odkaz:
https://doaj.org/article/7fcf82a468dd4c828facc35575729658
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2124 (2021)
In this paper, an adaptive double feedback fuzzy neural fractional order sliding control approach is presented to solve the problem that lumped parameter uncertainties cannot be measured and the parameters are unknown in a micro gyroscope system. Fir
Externí odkaz:
https://doaj.org/article/6cf11fbc552f4998bea4fdf44be1ffbe
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