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Adaptive Neural Network Optimal Timing Synchronization Control Method for One-way Coupling Fractional Self-sustained Electromechanical Seismograph System

A neural network, timing synchronization technology, applied in adaptive control, general control systems, seismic signal receivers, etc., can solve problems such as the minimum cost function of time control unknown system functions, and achieve the effect of improving the degree of freedom of design

Active Publication Date: 2022-08-09
CHONGQING AEROSPACE POLYTECHNIC COLLEGE
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Problems solved by technology

Under the framework of fractional inversion, solve the problems of finite time control, unknown system function, compliance with specified constraints and minimum cost function, and design an adaptive neural network optimal timing synchronization control for one-way coupling fractional order self-sustaining electromechanical seismograph system device

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  • Adaptive Neural Network Optimal Timing Synchronization Control Method for One-way Coupling Fractional Self-sustained Electromechanical Seismograph System
  • Adaptive Neural Network Optimal Timing Synchronization Control Method for One-way Coupling Fractional Self-sustained Electromechanical Seismograph System
  • Adaptive Neural Network Optimal Timing Synchronization Control Method for One-way Coupling Fractional Self-sustained Electromechanical Seismograph System

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[0136] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic idea of ​​the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0137] Among them, the accompanying drawings are only used for exemplary description, and represent only schematic diagrams, not physical drawings, and should not be ...

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Abstract

The invention relates to an adaptive neural network optimal timing synchronization control method for a one-way coupling fractional-order self-sustaining electromechanical seismograph system, and belongs to the field of seismograph system synchronization control. The method includes: establishing a synchronization model of a one-way coupling fractional-order seismograph system; designing a controller: firstly, a specified performance function and constraint conditions are used to ensure the transient and synchronization performance of the system, and an interval type II fuzzy neural network with transformation is used to Estimate the unpredictable function of a one-way coupled fractional self-sustained electromechanical seismometer system and build a fractional hyperbolic tangent tracking differentiator to handle the performance function and fractional complexity, minimizing the cost function such that the tracking error falls within the specified constraints Then, an adaptive neural network optimal timing synchronization controller is designed in the form of inversion and recursion. Finally, the Lyapunov function and timing stability criterion are used to ensure that all signals of the closed-loop seismograph system are bounded.

Description

technical field [0001] The invention belongs to the technical field of synchronous control of seismograph systems, and relates to an adaptive neural network optimal timing synchronous control method of a one-way coupling fractional-order self-sustained electromechanical seismograph system. Background technique [0002] Self-contained electromechanical seismograph systems with complex dynamics are sensitive instruments that record ground motions and waves propagating at certain frequencies. Its fractional-order modeling can describe the real motion process of engineering objects more accurately than integer-order modeling. One-way coupled fractional-order seismometer systems have complex nonlinear dynamics, gyroscopic coupling, unpredictable functions, predetermined constraints, and timing convergence. Therefore, it is significant and challenging to achieve optimal timing synchronization control between the driving seismometer and the responding seismometer. [0003] Synchr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04G01V1/18
CPCG05B13/042G01V1/18Y02E60/00
Inventor 罗绍华刘昭琴吴松励刘嘉吴江
Owner CHONGQING AEROSPACE POLYTECHNIC COLLEGE
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