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Micro-gyroscope sensor terminal sliding mode control system based on recursive fuzzy neural network

A technology of fuzzy neural network and terminal sliding mode, which is applied in the general control system, control/regulation system, adaptive control, etc., and can solve problems such as complex debugging, poor immunity, and environmental interference

Active Publication Date: 2020-01-17
HOHAI UNIV CHANGZHOU
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Problems solved by technology

However, there are certain errors in the production and processing of the micro gyroscope, and its original characteristics are easily affected by environmental changes. These factors will reduce the sensitivity and accuracy of the gyroscope system
After decades of research, although micro-gyroscopes have made significant progress in structural design, due to the limitations of environmental interference and manufacturing errors, it is difficult to make a qualitative leap in the development of micro-gyroscopes.
[0003] The micro-gyroscope control system commonly used at present needs to solve the problem of stable control of the oscillation amplitude and frequency of the drive shaft and the matching of the frequency of the two axes, but the traditional method often has the disadvantages of poor immunity, low flexibility, and complicated debugging. In the traditional control process, the actual damping coefficient, stiffness coefficient and other parameters of the micro gyroscope are often not accurately obtained.
These defects make the traditional micro gyroscope control method difficult to apply in high-precision occasions

Method used

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  • Micro-gyroscope sensor terminal sliding mode control system based on recursive fuzzy neural network
  • Micro-gyroscope sensor terminal sliding mode control system based on recursive fuzzy neural network
  • Micro-gyroscope sensor terminal sliding mode control system based on recursive fuzzy neural network

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] The terminal sliding mode control system of micro-gyroscope sensor based on recursive fuzzy neural network, including: system dimensionless dynamic equation building block, terminal sliding surface function building block, terminal sliding film control rate determination module, recursive fuzzy neural network building block, stable A performance judgment module, a system control rate determination module and a system control module;

[0062] 1. The system dimensionless dynamic equation building block constructs the mathematical model of the micro gyroscope:

[0063] A micro gyroscope usually consists of three parts: a mass suspended by an elastic material support, an electrostatic drive device, and a sensing device. This can be simplified as figure 1 The shown is a damped oscillation system composed of a mass block and a spring. According to the Coriolis effec...

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Abstract

The invention discloses a novel recursive fuzzy neural network terminal sliding mode control system of a micro gyroscope system. The terminal sliding mode control system adopts terminal sliding mode control and adds a nonlinear function in the design of a sliding hyperplane, so that a system state can be converged to a balance point at a faster speed, thereby accelerating the response speed of thecontrol system. Moreover, the output of the recursive fuzzy neural network is used for replacing uncertain items in a terminal sliding mode controller, so that the robustness of the system is higher.

Description

technical field [0001] The invention belongs to the technical field of micro-gyro control, in particular to a micro-gyro sensor terminal sliding mode control system based on a recursive fuzzy neural network. Background technique [0002] Micro gyroscope is a basic measurement element that is often used in inertial navigation and inertial guidance systems. Due to its advantages of small size, low cost and high reliability, micro gyroscopes are widely used in military and civilian fields such as navigation and positioning of aviation, aerospace, navigation and land vehicles, and oilfield exploration and development. However, there are certain errors in the production and processing process of the micro gyroscope, and the characteristics of its original components are easily affected by environmental changes. These factors will reduce the sensitivity and accuracy of the gyroscope system. After decades of research, although micro-gyroscopes have made remarkable progress in stru...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王哲费峻涛
Owner HOHAI UNIV CHANGZHOU
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