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Adaptive neural network control method for arc micro-electromechanical system

A technology of neural network control and micro-electro-mechanical systems, applied in adaptive control, general control systems, control/regulation systems, etc., can solve major safety accidents, difficult to obtain accurate models of control objects, severe economic losses, etc.

Active Publication Date: 2018-10-02
GUIZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Nonlinear factors (such as modeling uncertainty, environmental changes, component aging, self-excited vibration) are inevitable. Once the MEMS fails, it will inevitably trigger a chain reaction, leading to the failure of the entire equipment, causing major safety accidents and economic losses and adverse social impact
Due to the influence of factors such as manufacturing defects, external disturbances, hysteresis, and unpredictable states, and the uncertainty of the mathematical model of the MEMS, it is difficult to obtain an accurate model of the control object
Arc MEMS is a complex nonlinear system with high-order, multi-field coupling, and time-varying parameters. The existing control methods of MEMS cannot properly solve the problems of output constraints, chaotic oscillation, unpredictable state and Control problems when dynamics are unknown

Method used

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  • Adaptive neural network control method for arc micro-electromechanical system
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  • Adaptive neural network control method for arc micro-electromechanical system

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Embodiment

[0078] Embodiment A kind of self-adaptive neural network control method of curved MEMS, comprises the following steps:

[0079] a. In order to reveal the inherent characteristics of arc-shaped MEMS and facilitate the design of controllers, the phase diagram, time history, maximum Lyapunov exponent and bifurcation diagram are used to study the nonlinear dynamics of arc-shaped MEMS, and the construction is based on Bernoulli beams The system model of arc-shaped MEMS is obtained

[0080]

[0081] In formula (1), μ, h, α 1 ,β,R,b 11 Represents dimensionless parameters, q(t) represents state variables, w 0 Represents the frequency, u(t) represents the control input; the schematic diagram of the arc-shaped MEMS is shown in figure 1 shown;

[0082] b. Construct an adaptive neural network controller used to suppress the chaotic oscillation of the arc-shaped MEMS and ensure the system state constraints; when constructing, the symmetrical barrier Lyapunov function is used to ensu...

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Abstract

The invention discloses an adaptive neural network control method for an arc micro-electromechanical system, which comprises the steps of a, building a system model of the arc micro-electromechanicalsystem based on the Bernoulli beam; b, constructing an adaptive neural network controller used for suppressing chaotic oscillation of the arc micro-electromechanical system and guaranteeing state constraints of the system, wherein when the adaptive neural network controller is constructed, output constraints of the arc micro-electromechanical system are ensured not to be violated by using a symmetrical obstacle Lyapunov function, an unknown non-linear function is estimated with an arbitrary small error by adopting an RBF neural network with an adaptive law, an extension state tracking differentiator is introduced to process a problem that virtual control items in backstepping control need to be derived repeatedly, a state observer is designed to obtain unmeasured state information, the extension state tracking differentiator and the state observer are integrated in the backstepping framework. The adaptive neural network control method has the characteristics of convenient stability analysis and proving, low requirement for the modeling precision, low computation complexity, high operation speed, good operation stability of the system and high motion accuracy.

Description

technical field [0001] The invention relates to an arc microelectromechanical system, in particular to an adaptive neural network control method for an arc microelectromechanical system. Background technique [0002] Micro-electromechanical systems (MEMS) are complex micro-devices or independent intelligent systems that integrate micro-sensors, micro-actuators, micro-energy sources, signal processing and control circuits, high-performance electronic integrated devices, interfaces, and communications. MEMS technology is a revolutionary new technology, involving microelectronics, information and automatic control, mechanics, materials, mechanics and many other disciplines. It is widely used in high-tech industries. Key technologies for national defense security. [0003] Nonlinear factors (such as modeling uncertainty, environmental changes, component aging, self-excited vibration) are inevitable. Once the MEMS fails, it will inevitably trigger a chain reaction, leading to th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 罗绍华李少波Y·塔德塞胡建军
Owner GUIZHOU UNIV
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