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Fuzzy real-time optimization of the Tennessee eastman challenge process

Golshan, M ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. Publisher: 2006
  3. Abstract:
  4. In this paper real-time optimization of the Tennessee Eastman challenge process is accomplished in a fuzzy environment. This study focuses on violation of TE constraints in fuzzy environment and also violation of some additional constraints originated from operating mode of the plant. Furthermore the objective function is treated in fuzzy form. Results show a great reduction of operating cost, which is selected as the objective function of this study. The theory of fuzzy optimization, which is the main contribution of this paper, is to reformulate the fuzzy constraints and fuzzy objective function into a crisp programming problem and to solve it by a conventional method of optimization. The method selected for this study is Heuristic Random Optimization (HRO). This method is among the most recent stochastic methods capable of finding the global optimum. Optimization of the objective function is used through an on line version of HRO method based on a model whose parameters and states are estimated by an Extended Kalman Filter. The optimizer is triggered every 8 hours and determines the optimal set points of the PI controllers in the system. The calculations are completed in about 5-10 seconds. Simulation is done on an Intel PIV 2.8 GHz with RAM of 256 MB
  5. Keywords:
  6. Constraint theory ; Dynamic programming ; Extended Kalman filters ; Heuristic methods ; Optimization ; Problem solving ; Real time systems ; Fuzzy constraints ; Fuzzy objective function ; Heuristic Random Optimization (HRO) ; Fuzzy systems
  7. Source: CHISA 2006 - 17th International Congress of Chemical and Process Engineering, Prague, 27 August 2006 through 31 August 2006 ; 2006 ; 8086059456 (ISBN); 9788086059457 (ISBN)
  8. URL: https://www.ijcce.ac.ir/article_6215.html