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Variable gain iterative learning matrix concentration control method for microalgae batch fermentation process

A technology of fermentation process and iterative learning, which is applied in the direction of various fluid ratio control, etc., and can solve the problems of poor control performance and so on

Active Publication Date: 2020-07-28
JIANGNAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the uncertainty of the fermentation process model and the time-varying parameters, the control performance is relatively poor.

Method used

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  • Variable gain iterative learning matrix concentration control method for microalgae batch fermentation process
  • Variable gain iterative learning matrix concentration control method for microalgae batch fermentation process
  • Variable gain iterative learning matrix concentration control method for microalgae batch fermentation process

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Embodiment Construction

[0077] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0078] This application provides a variable gain iterative learning substrate concentration control method in the batch fermentation process of microalgae, combining Figure 1-Figure 3 As shown, for the nonlinear system model (that is, the actual physical model) of the microalgae fermentation process shown in formula (1), the variable parameters are respectively set as:

[0079] V=200L, y=0.417, M=0.0196

[0080] q=0.0296(L / h(g / L) 2 / 3 ),μ m =0.135(L / h)

[0081] S f =150(g / L), K s =0.05(g / L)

[0082] K i =2150(L 2 / g 2 ), K t =5.5(g 2 / L 2 )

[0083] The expected matrix concentration selected during the simulation is:

[0084]

[0085] The initial conditions are: X(0)=57.6g / L, C t (0)=1.14g / L, V(0)=200L, S(0)=0.55g / L.

[0086] According to the convergence conditions and combined with the specific parameters of the fermentat...

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Abstract

The invention discloses a variable gain iterative learning matrix concentration control method for a microalgae batch fermentation process, and relates to the field of iterative learning control, andthe method comprises the following steps: firstly, establishing the dynamic characteristic equation of the nonlinear system model of the microalgae fermentation process; constructing a nonlinear statespace expression; constructing a PD type variable gain iterative learning control law based on expected concentration, feeding flow and matrix concentration error information in a microalgae batch fermentation process; and finally, proving a spectral radius convergence condition by utilizing operator theoretical analysis, and realizing rapid and high-precision tracking control of an expected concentration track in the microalgae fermentation process. The variable gain iterative learning matrix concentration control method has the advantages that the variable-gain iterative learning control algorithm increases the degree of freedom and adaptability of feeding flow adjustment of the microalgae batch fermentation system and increases the improvement space of the matrix concentration controlperformance of the system by adding parameters which are in a PID function form and can be automatically adjusted according to error signals.

Description

technical field [0001] The invention relates to the field of iterative learning control, in particular to a variable gain iterative learning substrate concentration control method in the microalgae batch fermentation process. Background technique [0002] The batch fermentation process refers to the continuous or intermittent addition of reaction materials in the batch process. The basic characteristics of this process are: one-time addition of reaction bacteria, continuous or intermittent addition of reaction materials during the reaction process, until the product reaches It must be unloaded at one time after a certain request. In the fermentation industry, batch operations are usually used to produce products. At present, batch fermentation is widely used in the production of amino acids, growth hormones, organic acids, antibiotics, vitamins, and food additives. [0003] Common fixed value controls in the batch fermentation process include tank temperature and pressure c...

Claims

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Application Information

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IPC IPC(8): G05D11/13
CPCG05D11/13
Inventor 陶洪峰张秀赟庄志和黄彦德
Owner JIANGNAN UNIV
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