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Neural network proportion integration (PI)-based intelligent temperature control system and method for sand dust environment test wind tunnel

A technology of temperature control system and temperature control method, applied in general control system, temperature control using electric method, control/regulation system, etc., can solve problems such as reliability limitation, increasing hardware complexity, increasing cost, etc.

Inactive Publication Date: 2011-07-20
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this solution can improve the temperature control very well, it increases the complexity of the hardware, increases the cost, and has great limitations in reliability; the second is the software control method

Method used

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  • Neural network proportion integration (PI)-based intelligent temperature control system and method for sand dust environment test wind tunnel
  • Neural network proportion integration (PI)-based intelligent temperature control system and method for sand dust environment test wind tunnel
  • Neural network proportion integration (PI)-based intelligent temperature control system and method for sand dust environment test wind tunnel

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Embodiment Construction

[0030] The technical solution of the present invention provides a neural network-based PI intelligent temperature control system for wind tunnel tests in sandy dust environments. The temperature control system has at least two temperature control mechanisms, and is characterized in that:

[0031] -Firstly, the measured wind speed value is transmitted to the neural network controller through the wind speed sensor installed in the circulating air duct. One of the two temperature control mechanisms is determined as the main control mechanism, and the remaining control mechanisms are determined as auxiliary control mechanisms;

[0032] - Afterwards, pass this coordinated control factor and the temperature value measured by the temperature sensor in the circulating air duct to the traditional PI controller, and perform a series of transformation operations in the PI controller to finally obtain the corresponding rough control amount;

[0033] - Then, use the S function to perform c...

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Abstract

The invention discloses a neural network proportion integration (PI)-based intelligent temperature control system for a sand dust environment test wind tunnel, which is characterized in that: (1) a neural network system structure is established; (2) the blended learning and training on neural network parameters is performed; (3) PI control is performed; and (4) amplitude limiting processing is performed. Control variable coordinated control factors are obtained by combining a PI controller and a neural network and using the self-adaption of the neural network and capabilities of off-line learning and on-line learning so as to effectively determine main control equipment and auxiliary control equipment. Coordinated effective control on controlled object temperature is performed through the PI controller; and after the PI controller outputs a control variable, amplitude limiting processing is performed on the controlled variable by using an S function, so that the control variable is optimized. The system overcomes the influence of poor coordination on control in the prior art, improves the reliability and the coordination of the control, broadens the application range, and can also be used for coordinated control of output signals of other sensors.

Description

technical field [0001] The invention relates to an intelligent temperature control system and method based on a neural network PI (proportional integral) applied to a sand-dust environment test wind tunnel, which is used for high-precision and high-reliability control of the temperature of the sand-dust environment test wind tunnel. Background technique [0002] Sand and dust environment is an important environmental factor that causes many engineering and / or weapon equipment to fail, and its main damage types are: erosion, abrasion, corrosion and penetration, etc. Sand and dust environment test is an important means to analyze and evaluate the working performance, reliability and stability of various types of equipment and instruments in desert or arid area wind and sand environment. Whether it is in the national military standard or in other various standards, strict regulations are made on the temperature standard of sand and dust environment test. [0003] Due to the ne...

Claims

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Application Information

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IPC IPC(8): G05D23/19G05B13/04
Inventor 刘猛李运泽王浚刘旺开李可
Owner BEIHANG UNIV
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