Optimal operation and control scheme design of pervaporative membrane reactor

In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.

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An optimal task management and control scheme for military operations with dynamic game strategy

Aerospace Science and Technology ◽

10.1016/j.ast.2021.106815 ◽

2021 ◽

pp. 106815

Author(s):

Tao Zhang ◽

Chengchao Li ◽

Dongying Ma ◽

Xiaodong Wang ◽

Chaoyong Li

Keyword(s):

Dynamic Game ◽

Task Management ◽

Military Operations ◽

Control Scheme ◽

And Control

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Model development and control of an auto-refrigerated polystyrene polymerization reactor

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211025125 ◽

2021 ◽

pp. 014233122110251

Author(s):

Reyhane Mokhtarname ◽

Ali Akbar Safavi ◽

Leonhard Urbas ◽

Fabienne Salimi ◽

Mohammad M Zerafat ◽

...

Keyword(s):

Temperature Control ◽

Model Development ◽

Heat Removal ◽

Superior Performance ◽

Polymerization Process ◽

Vacuum System ◽

Control Scheme ◽

Simulation Results ◽

And Control ◽

Operating Plant

Dynamic model development and control of an existing operating industrial continuous bulk free radical styrene polymerization process are carried out to evaluate the performance of auto-refrigerated CSTRs (continuous stirred tank reactors). One of the most difficult tasks in polymerization processes is to control the high viscosity reactor contents and heat removal. In this study, temperature control of an auto-refrigerated CSTR is carried out using an alternative control scheme which makes use of a vacuum system connected to the condenser and has not been addressed in the literature (i.e. to the best of our knowledge). The developed model is then verified using some experimental data of the real operating plant. To show the heat removal potential of this control scheme, a common control strategy used in some previous studies is also simulated. Simulation results show a faster dynamics and superior performance of the first control scheme which is already implemented in our operating plant. Besides, a nonlinear model predictive control (NMPC) is developed for the polymerization process under study to provide a better temperature control while satisfying the input/output and the heat exchanger capacity constraints on the heat removal. Then, a comparison has been also made with the conventional proportional-integral (PI) controller utilizing some common tuning rules. Some robustness and stability analyses of the control schemes investigated are also provided through some simulations. Simulation results clearly show the superiority of the NMPC strategy from all aspects.

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