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| Soft sensor modeling of fermentation process based on PSO-ANN inversion |
| 1.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.Nanjing Institute of Technology, Nanjing, Jiangsu 211167, China |
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Abstract To solve the difficulty of measuring the key biological parameters on line by conventional instruments, a soft sensor modeling method was proposed based on PSO-ANN inversion to realize optimal control in biological fermentation. The mathematical model of assumed subsystem for penicillin fermentation was established to give the inverse model of fermentation. To solve the complex operation of inversion, the soft sensor method based on PSO-ANN inversion was proposed. The PSO-ANN inverse model was finally established to complete simulation and experiments. The results show that the prior knowledge and empirical data can be entirely used by the soft sensor modeling method to measure the key parameters. The proposed model shows high precision and good performance with training error of 0.037 2 and testing error of 0.046 1.
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2012, Vol. 33 
