Optimal control of a batch fermentation process with nonlinear time-delay and free terminal time and cost sensitivity constraint
•An control problem is proposed to maximize the productivity of 1,3-PD.•The problem with free terminal time is transformed via a hybrid time-scaling strategy.•A parallel algorithm is proposed to solve the problem.•We consider a cost sensitivity constraint to reflect operational requirements. In this...
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Published in | Journal of process control Vol. 44; pp. 41 - 52 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.08.2016
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Abstract | •An control problem is proposed to maximize the productivity of 1,3-PD.•The problem with free terminal time is transformed via a hybrid time-scaling strategy.•A parallel algorithm is proposed to solve the problem.•We consider a cost sensitivity constraint to reflect operational requirements.
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. |
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AbstractList | •An control problem is proposed to maximize the productivity of 1,3-PD.•The problem with free terminal time is transformed via a hybrid time-scaling strategy.•A parallel algorithm is proposed to solve the problem.•We consider a cost sensitivity constraint to reflect operational requirements.
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. |
Author | Xie, Jun Xiu, Zhilong Yin, Hongchao Zhang, Xu Yuan, Jinlong Liu, Chongyang Feng, Enmin |
Author_xml | – sequence: 1 givenname: Jinlong surname: Yuan fullname: Yuan, Jinlong email: yuanjinlong0613@163.com organization: School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, Liaoning, PR China – sequence: 2 givenname: Chongyang surname: Liu fullname: Liu, Chongyang organization: School of Mathematics and Information Science, Shandong Institute of Business and Technology, Yantai 264000, Shandong, PR China – sequence: 3 givenname: Xu surname: Zhang fullname: Zhang, Xu organization: School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, Liaoning, PR China – sequence: 4 givenname: Jun surname: Xie fullname: Xie, Jun organization: Teaching and Research Office of Mathematics, Department of Basics, PLA Dalian Naval Academy, Dalian 116018, Liaoning, PR China – sequence: 5 givenname: Enmin surname: Feng fullname: Feng, Enmin organization: School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, Liaoning, PR China – sequence: 6 givenname: Hongchao surname: Yin fullname: Yin, Hongchao email: hcyin@dlut.edu.cn organization: School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, Liaoning, PR China – sequence: 7 givenname: Zhilong surname: Xiu fullname: Xiu, Zhilong organization: School of Life Science and Biotechnology, Dalian University of Technology, Dalian 116024, Liaoning, PR China |
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Keywords | Free terminal time Cost sensitivity constraint Parallel optimization Nonlinear time-delay system Optimal control Batch fermentation |
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Snippet | •An control problem is proposed to maximize the productivity of 1,3-PD.•The problem with free terminal time is transformed via a hybrid time-scaling... |
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SubjectTerms | Batch fermentation Cost sensitivity constraint Free terminal time Nonlinear time-delay system Optimal control Parallel optimization |
Title | Optimal control of a batch fermentation process with nonlinear time-delay and free terminal time and cost sensitivity constraint |
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