Self-adaptive fuzzy neural network control method for pneumatic position servo system

A neural network control, fuzzy neural network technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problem that the tracking control accuracy of the pneumatic position servo system is difficult to meet the requirements, and reduce the impact of system performance. , the effect of high tracking accuracy

Active Publication Date: 2020-10-16
XIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an adaptive fuzzy neural network control method for a pneumatic position servo system, which solves the problem that the tracking control accuracy of the pneumatic position servo system is difficult to meet the requirements of the prior art

Method used

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  • Self-adaptive fuzzy neural network control method for pneumatic position servo system
  • Self-adaptive fuzzy neural network control method for pneumatic position servo system
  • Self-adaptive fuzzy neural network control method for pneumatic position servo system

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Experimental program
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Embodiment

[0092] In this embodiment, the product models selected for the main components in the pneumatic position servo system are:

[0093] Cylinder 3 adopts the model DGPL-25-450-PPV of FESTO Company;

[0094] The model used by the proportional valve 7 is MPYE-5-1 / 8-HF-010-B;

[0095] The model adopted by position detection element 1 is MLO-POT-450-5TLF displacement detector;

[0096] The model used by the universal data acquisition card is PCI2306, which contains figure 1 Middle A / D conversion module 12 and D / A conversion module 11;

[0097] The model that computer 13 adopts is that CPU is P2 1.2GHz, and the control software built-in in computer adopts VB to compile, shows the variation curve of relevant variable in the control process by screen display.

[0098] The control objectives of this embodiment are respectively set as

[0099] Reference signal 1: The sinusoidal signal is

[0100] the y m =A 1 sin ω 1 t (19)

[0101] Among them, A 1 = 111.65, ω 1 =0.5π.

[0102]...

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Abstract

The invention discloses a self-adaptive fuzzy neural network control method for a pneumatic position servo system, and the method comprises the steps: 1, building a model of the pneumatic position servo system, and carrying out the linearization; 2, setting a self-adaptive controller of the pneumatic position servo system; 3, estimating an uncertain function in the model by adopting a fuzzy neuralnetwork. The fuzzy neural network is composed of a front piece network and a back piece network. The front piece network is used for matching a front piece of a fuzzy rule, the rear piece network isused for generating a rear piece of the fuzzy rule, a neural network design controller is combined to obtain a control quantity u, the u is output to a proportional valve through a D / A conversion module, and the displacement of a piston of the pneumatic position servo system is adjusted in real time. According to the method, the uncertain zero point of the proportional valve is processed through the self-adaptive law, and compared with an existing controller, the method is higher in tracking precision.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of a pneumatic position servo system, and in particular relates to an adaptive fuzzy neural network control method of a pneumatic position servo system. Background technique [0002] The pneumatic position servo system uses compressed gas as the working medium, and has the characteristics of no pollution, high power-to-volume ratio, simple structure, low cost, safety and reliability, etc. It is one of the most effective means of automation and mechanization of the production process. Indispensable basic part of the field. [0003] Pneumatic devices on industrial production lines are usually required to be able to achieve high-precision position tracking control. Due to the influence of factors such as the compressibility of gas, the nonlinearity of flow at the valve port, the friction of the cylinder, and the low damping characteristics of the pneumatic position servo system, Pn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 任海鹏焦珊珊李洁
Owner XIAN UNIV OF TECH
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