Micro gyroscope self-adaptation inversion control system and method based on neural network

Abstract

The invention discloses a micro gyroscope self-adaptation inversion control system and method based on a neural network. The control system comprises a reference track module, a middle signal generating module, an inversion controller, a neural network self-adaptation system, a micro gyroscope self-adaptation controller, a first adding device and a micro gyroscope system. According to the micro gyroscope self-adaptation inversion control system and method based on the neural network, the advantages of the inversion design technology are utilized, the design processes of the micro gyroscope control system are simplified, a new path of the design of the micro gyroscope control system is opened up, meanwhile, the characteristics of the control technology of the neural network are combined, the weight parameters of the neural network are adjusted in an on-line and real-time mode, an updating algorithm of network weights is designed based on the Lyapunov stability theory, and the stability of a closed-loop system is ensured. According to the micro gyroscope self-adaptation inversion control system and method based on the neural network, unknown dynamic characteristics and influences of noise interference of the micro gyroscope can be compensated in an on-line mode, two-shaft vibration tracks of the micro gyroscope are made to track the reference track, and meanwhile the reliability and the anti-interference robustness of the system are improved.

Description

technical field [0001] The invention relates to an adaptive control system and method of a micro gyroscope, in particular to an adaptive inversion control system and method of a micro gyroscope based on a neural network. Background technique [0002] Micro gyroscope (MEMS Gyroscope) is an inertial sensor processed by microelectronics and micromachining technology to sense angular velocity. It detects angular velocity through a vibrating micromechanical component made of silicon, so the microgyroscope is very easy to miniaturize and mass-produce, and has the characteristics of low cost and small size. In recent years, micro-gyroscopes have been paid close attention to in many applications, for example, gyroscopes combined with micro-machined acceleration sensors for inertial navigation, image stabilization in digital cameras, wireless inertial mice for computers, and so on. However, due to the inevitable processing errors in the manufacturing process and the influence of amb...

AI Technical Summary

Problems solved by technology

However, the traditional adaptive control design process is more complex, the amount of calculation is large, and the robustness to external disturbances is very low, which easily makes the system unstable.

[0005] 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

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