Intelligent weighing control method based on genetic algorithm and iterative learning method

An iterative learning and intelligent weighing technology, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., to achieve the effects of high control precision, strong real-time performance and strong robustness

Inactive Publication Date: 2009-04-22
PLA UNIV OF SCI & TECH
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Problems solved by technology

[0004] The purpose of the present invention is to invent an intelligent weighing control method based on genetic algorithm and iterative learning method, which does not depend on the material volume The position change and the random change of the material flow velocity at each moment, through the iterative learning of genetic optimization, can quickly and accurately determine the "advance amount" of closing the small gate, so as to effectively correct the weighing deviation

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  • Intelligent weighing control method based on genetic algorithm and iterative learning method
  • Intelligent weighing control method based on genetic algorithm and iterative learning method
  • Intelligent weighing control method based on genetic algorithm and iterative learning method

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0027] Such as figure 2 , 3 , 4 shown.

[0028] An intelligent weighing control method based on genetic algorithm and iterative learning method, its principle is as follows figure 2 As shown, it includes the following steps:

[0029] First, the difference ek(t) between the actual weight measured at any time t and the expected value is substituted into the iterative learning algorithm formula as the iterative deviation:

[0030] u k + l ( t ) = u k ( t ) + ( Γ P + Γ I ∫ dt ...

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Abstract

The invention discloses an intelligent weighing control method based on a genetic algorithm and an iterative learning method. The weighing control method is characterized by comprising the following steps: firstly, substituting a difference value ek(t) between an actual weight value measured at any time t and an expected value to an iterative learning algorithm formula as an iteration deviation; then computing a control semaphore in a real-time manner according to the characteristic that the iterative learning control method which is designed and optimized by the genetic algorithm has stronger robustness, and outputting the control semaphore to a valve driving mechanism to achieve weighing control. In the weighing control method, time for controlling opening of a valve is determined only according to the weighing derivation without depending on the material level change of a storage bin and the random change of material flow rate in every moment; and the method has the advantages of good real-time characteristic and high control precision.

Description

technical field [0001] The invention relates to a weighing control method, in particular to an intelligent weighing control method, in particular to an intelligent weighing control method based on a genetic algorithm and an iterative learning method. Background technique [0002] As we all know, in the process of concrete production, the measurement accuracy of materials is the key to ensure the quality of concrete. figure 1 It is a structural diagram of a commonly used material weighing system. The material weighing system is mainly composed of a silo and a weighing bucket. Since there is a certain distance between the feeding door and the weighing bucket container, when the feeding door is closed, there is a section of "free" material column that has left the feeding door and has not yet reached the weighing bucket container. The resulting over-tolerance is called "drop". In addition, due to the irregular shape of the stone, the large difference in particle size, and the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/02
Inventor 宋胜利肖翀宇张琦左敦稳
Owner PLA UNIV OF SCI & TECH
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