Filament constant-tension control method based on optimized BP neural network

A technology of BP neural network and control method, which is applied in the field of constant tension control of filament based on optimized BP neural network, can solve problems such as tension instability, and achieve the effects of satisfying control, good control effect and convenient operation.

Active Publication Date: 2021-04-23
XI'AN POLYTECHNIC UNIVERSITY +1
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  • Abstract
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Problems solved by technology

[0004] The purpose of this invention is to provide a kind of filament constant tension control method based on optimized B

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  • Filament constant-tension control method based on optimized BP neural network
  • Filament constant-tension control method based on optimized BP neural network
  • Filament constant-tension control method based on optimized BP neural network

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[0031]The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0032]Most enterprises in the filament tension control in the push machine uses passive retreats, there are many non-negligible factors, such as the friction of the yarn and the storage yarn, a tension of the small syringe, etc., These are important factors that are not negligible. The lack of tension-controlled fancy yarn has a certain disadvantage status in the competition. Apply it to all of our textile enterprises, improve the quality of the production of fancy yarns, and further increase the influence of my country's fancy yarn in international. A PID filament tension controller based on optimizing BP neural network is designed for uncontrollable and instability of filament tension in the jet machine. First, according to the system structure of the jet machine, the winding mathematical model of the tension controller is established. The system's con...

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Abstract

The invention discloses a filament constant-tension control method based on an optimized BP neural network. The method comprises the steps of: building a filament constant-tension control hardware system based on the optimized BP neural network; determining a BP neural network structure, input sample data and an expected output value of the neural network; initializing populations of weights and threshold values, and calculating the fitness values of the populations; performing selection , crossing and mutation operation on the initial value and threshold value of the neural network; performing winning and elimination according to fitness values obtained after genetic operation; describing a weight matrix and a threshold value matrix in the optimized BP neural network structure into a chromosome string; and adopting judgment on whether a system reaches required precision or not as an end condition, under the condition that the system reaches the required precision, ending the algorithm, and otherwise, returning to continue the operation. With the method adopted, the problem that in the prior art, tension is not stable in the wool sprayed tape yarn is solved.

Description

technical field [0001] The invention belongs to the technical field of filament constant tension control, and in particular relates to a filament constant tension control method based on an optimized BP neural network. Background technique [0002] The textile industry is a representative of the development of a country's light industry, a basic industry of the country, and an indispensable industry for the society. China is a big country with a rich history and culture. In the Tang Dynasty, silk became a symbol of Chinese cultural exchange at that time. Silk represented my country's advanced culture and textile technology. With the continuous development of science and technology, people are not satisfied with food and clothing, but pay more and more attention to spiritual enjoyment. Therefore, people have higher and higher requirements on the quality of fabrics, softness and warmth retention. With the continuous reform and innovation of technology, the equipment of my co...

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Application Information

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IPC IPC(8): G05B13/02G05B13/04B65H59/36G06N3/06G06N3/08G06N3/12
Inventor 朱耀麟武桐陈鑫孟超周晓东
Owner XI'AN POLYTECHNIC UNIVERSITY
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