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On-line optimal control of ethanol production in a fed-batch reactor by using neural network estimator |
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| รหัสดีโอไอ | |
| Title | On-line optimal control of ethanol production in a fed-batch reactor by using neural network estimator |
| Creator | Natthapong Shomchoam |
| Contributor | Amornchai Arpornwichanop |
| Publisher | Chulalongkorn University |
| Publication Year | 2549 |
| Keyword | Control theory, Mathematical optimization, Alcohol, Chemical reactors, Neural networks, ทฤษฎีการควบคุม, การหาค่าเหมาะที่สุดเชิงคณิตศาสตร์, เอทานอล, เครื่องปฏิกรณ์เคมี, นิวรัลเน็ตเวิร์ค (วิทยาการคอมพิวเตอร์) |
| Abstract | This research presents the implementation of an on-line optimal control with neural network estimator to control a fed-batch reactor for the production of ethanol. Due to the presence of unknown disturbances and model-plant mismatches, an open-loop optimal control may not give the optimal performance when applied to the actual process. To improve the control performance, an on-line optimal control is developed to modify the optimal feed profile of a fed-batch reactor whenever feedback information of the system is available. In this work, the formulated optimal control problem is solved by a sequential method in which the control profile is parameterized by using a piecewise constant function. Artificial neural network is used to estimate unmeasured state variables which are employed as feedback information of the system. The ethanol fermentation process by Saccharomyces cerevisiae in a fed-batch reactor is chosen as a case study to demonstrate the proposed control strategy. The simulation results have shown that the on-line optimal control with neural network estimator gives a better control performance in terms of the amount of the desired ethanol product, compared with the off-line optimal control |
| URL Website | cuir.car.chula.ac.th |
