张旭

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

学科:运筹学与控制论

办公地点:创新园大厦A1014

电子邮箱:xuzhang@dlut.edu.cn

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Optimal control of a batch fermentation process with nonlinear time-delay and free terminal time and cost sensitivity constraint

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论文类型:期刊论文

发表时间:2016-08-01

发表刊物:JOURNAL OF PROCESS CONTROL

收录刊物:SCIE、EI、Scopus

卷号:44

页面范围:41-52

ISSN号:0959-1524

关键字:Nonlinear time-delay system; Optimal control; Free terminal time; Cost sensitivity constraint; Parallel optimization; Batch fermentation

摘要:In this paper, we consider a nonlinear time-delay dynamic system with uncertain system parameters to characterize the process of batch fermentation. Our goal is to design an optimal control scheme to maximize the productivity of 1,3-propanediol (1,3-PD). Accordingly, we introduce an optimal control problem governed by the nonlinear time-delay dynamic system, in which the control variables are the free terminal time of the batch fermentation process and the initial concentrations of biomass and glycerol. The optimal control problem is subject to a cost sensitivity constraint for ensuring that an acceptable level of the system performance is achieved and continuous state inequality constraints for ensuring that the concentrations of biomass, glycerol, 1,3-PD, acetate, ethanol lie within specified limits. Then, the optimal control problem with free terminal time is transformed, via a hybrid time-scaling strategy, into an equivalent problem with fixed terminal time, which is much preferred for numerical computation. Using the constraint transcription and local smoothing approximation techniques, we approximate these continuous state inequality constraints by conventional inequality constraints to yield an approximate optimal control problem. Because of the highly complex nature of this approximate problem, a parallel algorithm based on the filled function method is constructed to solve this approximate problem. Finally, it is observed that the optimal control obtained is satisfactory through numerical simulations. (C) 2016 Elsevier Ltd. All rights reserved.