期刊
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
卷 91, 期 3, 页码 762-768出版社
WILEY
DOI: 10.1002/jctb.4642
关键词
solid-state fermentation; bioreactor; process modeling; parameter estimation; particle swarm optimization
BACKGROUND: Solid-state fermentation is a well-known bioprocess. The development of a solid-state fermentation reactor faces difficulties in controlling temperature gradients inside the bed. To understand this behavior, a good phenomenological model must be used. Furthermore, the model parameters must be obtained by a reliable and robust parameters estimation procedure, since often the model parameters are not available in the literature. RESULTS: The heuristic particle swarm optimization (PSO) method was used to estimate the parameters of the reparametrized model through the minimization of a nonlinear-square objective function, since it is less sensitive to initial guesses than derivative based methods. Statistical analyses were made to evaluate the parameter estimation quality. Also, simulations with the reparametrized model were performed. All the analyses have revealed the great accuracy of the proposed model, predicting with very small residuals (errors) several experimental data sets of a solid-state fermentation process. CONCLUSION: Parameter models reparametrization procedure can be a very useful mathematical tool to obtain accurate and reliable models with fewer parameters to be estimated, providing less parameters correlation and increasing the degrees of freedom to perform the statistical analysis. In addition, the particle swarm optimization was found to be a very robust and efficient parameter estimation method. (C) 2015 Society of Chemical Industry
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据