Fuzzy neural network inversion soft measurement system and method of key variables in lysine fermentation process

A technology of fuzzy neural network and lysine fermentation, applied in general control system, control/regulation system, program control, etc., can solve problems such as complex operation, dead measurement accuracy, and long lag time

Inactive Publication Date: 2018-09-18
JIANGSU UNIV
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Problems solved by technology

These methods are complicated to operate, have long lag time, large measurement errors, and are easy to introduce artificial pollution, and the measurement accuracy is affected by factors such as cel...

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  • Fuzzy neural network inversion soft measurement system and method of key variables in lysine fermentation process
  • Fuzzy neural network inversion soft measurement system and method of key variables in lysine fermentation process
  • Fuzzy neural network inversion soft measurement system and method of key variables in lysine fermentation process

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Embodiment Construction

[0053] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] A fuzzy neural network inverse soft measurement method for key variables in the lysine fermentation process, the specific process is as follows:

[0055] Step 1, choose to determine the online directly measurable quantity of the lysine fermentation process and the non-directly measurable quantity that needs to be tested offline; if figure 1 As shown, the on-line directly measurable quantities are feed-in input and output, and feed-in input is glucose flow acceleration rate c, corn steep liquor flow acceleration rate u 2 , Soybean cake hydrolyzate flow acceleration rate u 3 , Ammonium su...

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Abstract

The invention discloses a fuzzy neural network inversion soft measurement system and method of key variables in a lysine fermentation process. Online directly measurable quantity and indirectly measurable quantity needing off testing in a lysine fermentation process are determined. By use of the fuzzy neural network inversion soft measurement method, according to the model of the lysine fermentation process, the model of a soft sensor is established, thereby, establishing an inversion model of the soft sensor according to a method of solving a reverse function, and determining free parametersand constructing fuzzy neural network inversion by use of static state fuzzy neural network and a differentiator by training the dynamic fuzzy neural network. Thus, software sensor inversion is achieved. Finally, by serially connecting the fuzzy neural network to the lysine fermentation process, achieving online real-time soft measurement of cell concentration x1, substrate concentration x2 and product concentration x3. In this way, an online estimation problem that it is difficult to carry out real quantity measurement of key variables by use of a physical sensor in the lysine fermentation process can be effectively solved.

Description

technical field [0001] The invention belongs to the field of advanced control of microbial fermentation process, and in particular relates to a fuzzy neural network inverse measurement method of key variables in lysine fermentation process. Background technique [0002] In many industrial control occasions, there is a large class of such variables that are closely related to product quality and need to be strictly controlled. However, due to technical or economic reasons, it is currently difficult or impossible to detect directly through physical sensors. In order to solve the measurement of such variables Problems, soft sensor technology came into being. The so-called soft measurement is to select a group of directly measurable variables (i.e. auxiliary variables) that are closely related to the estimated variable (i.e. the measured or leading variable) and easy to measure according to a certain criterion. By constructing a certain functional relationship, use Computer sof...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 褚亚伦王博朱湘临赵海清
Owner JIANGSU UNIV
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