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Mutually-coupled fractional-order chaos electromechanical transducer acceleration adaptive fuzzy control method

An electromechanical transducer, adaptive fuzzy technology, applied in adaptive control, general control system, control/regulation system, etc.

Active Publication Date: 2019-11-26
GUIZHOU UNIV
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Problems solved by technology

However, these methods are ineffective for coupled fractional nonlinear systems due to the complexity of fractional derivatives
Furthermore, issues such as given performance, time delay, chaos suppression, and complexity growth are not addressed

Method used

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  • Mutually-coupled fractional-order chaos electromechanical transducer acceleration adaptive fuzzy control method
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  • Mutually-coupled fractional-order chaos electromechanical transducer acceleration adaptive fuzzy control method

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Embodiment Construction

[0203] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but not as a basis for limiting the present invention.

[0204] Example. A mutual coupling fractional order chaotic electromechanical transducer accelerated adaptive fuzzy control method, see Figure 12 , including the following steps:

[0205] a. System modeling: Create a small network composed of three identical electromechanical transducers, based on the serial correlation of capacitors and resistors, each electromechanical transducer has a nearest neighbor coupling structure; Neighborhood electromechanically coupled transducer model; kinetic analysis reveals that the model behavior is very sensitive to external excitation and fractional order values;

[0206] b. Design controller: Design a controller consisting of a feed-forward fuzzy controller and an adaptive optimal feedback controller;

[0207] The feed-forward fuzzy controller is integrated by...

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Abstract

The invention discloses a mutually-coupled fractional-order chaos electromechanical transducer acceleration adaptive fuzzy control method. The method comprises the following steps: a) creating a smallnetwork formed by three same electromechanical transducers, wherein each electromechanical transducer has a nearest neighbor coupling structure, and building an electromechanical coupled transducer model with a nearest neighbor based on the small network; and b) designing a controller composed of a feedforward fuzzy controller and an adaptive optimal feedback controller, wherein the feedforward fuzzy controller is integrated by a regression non-single-valued type-2 sequence fuzzy neural network, a velocity function and a tracking differentiator in an inversion control framework, and the adaptive optimal feedback controller is formed by the regression non-single-valued type-2 sequence fuzzy neural network, policy iteration and an execution-evaluation reinforcement learning algorithm, and can solve a Hamilton-Jacobi-Bellman equation. The method not only guarantees boundedness of all signals, realizes chaos suppression and synchronous and accelerated convergence, but also minimizes a cost function.

Description

technical field [0001] The invention relates to a control method of an electromechanical transducer, in particular to an accelerated self-adaptive fuzzy control method for a mutual coupling fractional chaos electromechanical transducer. Background technique [0002] In recent years, complex networks with interactions between topological complexity and dynamic properties of coupled elements have gained attention in engineering. With the development of MEMS, research fields such as design, analysis, modeling and control of coupled electromechanical systems have received extensive attention and this trend is gradually increasing. Electromechanical transducers are moving-coil electromechanical devices whose dynamics with associated chaos and bifurcations can destabilize the system. Pérez-Molina and Perez-Polo discuss the nonlinear dynamics of electromechanical transducers composed of ferromagnetic moving parts under the action of harmonic oscillations. The dynamics and synchro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 罗绍华赵乐李俊阳李少波
Owner GUIZHOU UNIV
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