Micro-gyroscope control system based on neural network

A neural network and micro gyroscope technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve problems such as low robustness, inconvenience, and system instability, and achieve improved tracking effect and robustness. sexual effect

Inactive Publication Date: 2012-05-02
HOHAI UNIV CHANGZHOU
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Problems solved by technology

However, the robustness of adaptive control to external disturbances is very low, and it is easy to make the system unstable.
[0004] This shows that above-mentioned existing gyroscope obviously still has inconvenience and defect in use, and urgently needs to be further improved
In order to solve the problems existing in the use of existing gyroscopes, relevant manufacturers have tried their best to find a solution, but no suitable design has been developed for a long time

Method used

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  • Micro-gyroscope control system based on neural network
  • Micro-gyroscope control system based on neural network
  • Micro-gyroscope control system based on neural network

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Embodiment Construction

[0025] In order to further explain the technical means and effects that the present invention takes to achieve the intended invention purpose, below in conjunction with the accompanying drawings and preferred embodiments, its specific implementation and structure of the neural network-based micro-gyroscope control system proposed according to the present invention , features and their effects are described in detail below.

[0026] see figure 1 , figure 2 , image 3 , Figure 4 As shown, the neural network-based micro-gyroscope control system of the present invention includes a control system connected and communicating with the micro-gyroscope, and the control system includes a nominal controller and a neural network compensator. It also includes a first adder for subtracting the position and velocity output of the microgyroscope from the ideal state trajectory to generate a tracking error signal.

[0027] (1) The controlled object - the mathematical model of the micro g...

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Abstract

The invention discloses a micro-gyroscope control system based on a neural network. The micro-gyroscope control system comprises a control system which is in connection communication with a micro-gyroscope, wherein the control system comprises a nominal controller and a neural network compensator. The control scheme of a feedback controller based on a micro-gyroscope nominal model and the neural network compensator is applicable to control of the micro-gyroscope, so that the tracking effect and robustness of the micro-gyroscope control system are improved. The adaptive law of a weight value of the neural network is designed based on a Lyapunov stability theory, so that the stability of the whole control system can be guaranteed under the condition of presence of a modeling error of the neural network.

Description

Technical field: [0001] The invention relates to a control system of a micro gyroscope, in particular to a robust tracking control system of a micro gyroscope based on a neural network. Background technique: [0002] Micro gyroscopes are inertial sensors that measure angular rates. Compared with traditional gyroscopes, micro gyroscopes have unparalleled advantages in size and cost, so they have broad markets, such as navigation and guidance, consumer electronics, navigation and national defense apply. However, due to the inevitable processing errors in the manufacturing process and the influence of ambient temperature, there will be differences between the characteristics of the original and the design, resulting in parameter uncertainty in the micro gyroscope, it is difficult to establish an accurate mathematical model, and usually only The nominal value of each parameter. In addition, the external disturbance in the working environment cannot be ignored, which makes the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 费峻涛杨玉正
Owner HOHAI UNIV CHANGZHOU
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