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Adaptive neural network optimal timing synchronization control method for unidirectional coupling fractional order self-sustaining 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: 2021-06-15
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 unidirectional coupling fractional order self-sustaining electromechanical seismograph system
  • Adaptive neural network optimal timing synchronization control method for unidirectional coupling fractional order self-sustaining electromechanical seismograph system
  • Adaptive neural network optimal timing synchronization control method for unidirectional coupling fractional order self-sustaining electromechanical seismograph system

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[0136] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0137] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to an adaptive neural network optimal timing synchronization control method for a unidirectional coupling fractional order self-sustaining electromechanical seismograph system, and belongs to the field of seismograph system synchronization control. The method comprises the following steps: establishing a synchronization model of a one-way coupling fractional order seismograph system; and designing a controller: firstly, adopting a specified performance function and a constraint condition to ensure transient and synchronous performance of the system, adopting an interval type-2 fuzzy neural network with transformation to estimate an unpredictable function of the one-way coupling fractional order self-sustaining electromechanical seismograph system, establishing a fractional order hyperbolic tangent tracking differentiator to process the complexity of a performance function and a fractional order, minimizing a cost function to make a tracking error fall into a specified constraint region, then designing the adaptive neural network optimal timing synchronization controller in an inversion recursion form, and finally, ensuring that all signals of the closed-loop seismograph system are bounded by using a Lyapunov function and a timing stability criterion.

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 for a one-way coupling fractional-order self-sustaining electromechanical seismograph system. Background technique [0002] Self-sustaining electromechanical seismograph systems with complex dynamics are sensitive instruments that record ground motions and waves propagating at certain frequencies. Its fractional-order modeling can more accurately describe the real motion process of engineering objects than integer-order modeling. One-way coupled fractional order seismograph systems have complex nonlinear dynamics, gyro coupling, unpredictable functions, predetermined constraints, and timing convergence. Therefore, it is important and challenging to achieve optimal timing synchronization control between the driving seismograph and the responding seismograph. [0003] Synchroniza...

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Application Information

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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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