Sliding mode control system of micro-gyroscope sensor terminal based on recursive fuzzy neural network

Abstract

The invention discloses a new recursive fuzzy neural network terminal sliding mode control system of a micro-gyroscope system. The terminal sliding mode control adopted in the invention adds a nonlinear function to the design of the sliding hyperplane, so that the system state can be used faster The speed converges to the equilibrium point, thus speeding up the response speed of the control system. And the output of the recursive fuzzy neural network is used to replace the uncertain items in the terminal sliding mode controller, so that the robustness of the system is stronger.

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...

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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

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