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
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[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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