FEEDBACK-FEED FORWARD CONTROL SYSTEM DESIGN AND OPTIMIZING THE PERFORMANCE OF CRUDE OIL FIRED HEATER FURNACE USING GENETIC ALGORITHM FOR ABNORMAL CONDITIONS MANAGEMENT

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ROSTAMNEZHAD ZOHREH; ADILI TAHMINEH; CHAIBAKHSH ALI; JAMALI ALI

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Journal: Modares Mechanical Engineering Year:2016 | Volume:16 | Issue:5 Page(s): 10-18

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Title

FEEDBACK-FEED FORWARD CONTROL SYSTEM DESIGN AND OPTIMIZING THE PERFORMANCE OF CRUDE OIL FIRED HEATER FURNACE USING GENETIC ALGORITHM FOR ABNORMAL CONDITIONS MANAGEMENT

Author(s)

ROSTAMNEZHAD ZOHREH | ADILI TAHMINEH | CHAIBAKHSH ALI | JAMALI ALI | Issue Writer Certificate

Keywords

FIRED-HEATER FURNACEQ1

FEEDBACK-FEEDFORWARD CONTROLQ1

OPTIMIZATIONQ2

ABNORMAL CONDITIONSQ1

GENETIC ALGORITHMQ2

Abstract

In this study, feedback-feed forward control system design and optimizing the performance of crude oil furnace process was investigated in order to recover from possible ABNORMAL CONDITIONS. First, by developing an accurate nonlinear analytical model, the effects of changes in input parameters and operating conditions on the system’s outputs were determined. Then, in order to eliminate the effects of disturbances on furnace, a feedback- feed forward control system for combustion management was suggested, where its performances were optimized using GENETIC ALGORITHM (GA). In addition, to enhance the thermal stability and maintain product quality, output difference temperature control system was considered for load distribution between furnace’s streams. Also, in order to recover the furnace from ABNORMAL CONDITIONS due to burners’ failures, a supervisory system was designed to change the firing rate set points. With respect to different failure scenarios, the optimal burners’ firing rate was captured by applying GENETIC ALGORITHMs to the system model. A multilayer perceptron neural network was employed as the core of the controller to interpolate between different conditions. The obtained results indicate the superior performances of the designed control systems.

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APA: Copy

ROSTAMNEZHAD, ZOHREH, ADILI, TAHMINEH, CHAIBAKHSH, ALI, & JAMALI, ALI. (2016). FEEDBACK-FEED FORWARD CONTROL SYSTEM DESIGN AND OPTIMIZING THE PERFORMANCE OF CRUDE OIL FIRED HEATER FURNACE USING GENETIC ALGORITHM FOR ABNORMAL CONDITIONS MANAGEMENT. MODARES MECHANICAL ENGINEERING, 16(5), 10-18. SID. https://sid.ir/paper/177933/en

Vancouver: Copy

ROSTAMNEZHAD ZOHREH, ADILI TAHMINEH, CHAIBAKHSH ALI, JAMALI ALI. FEEDBACK-FEED FORWARD CONTROL SYSTEM DESIGN AND OPTIMIZING THE PERFORMANCE OF CRUDE OIL FIRED HEATER FURNACE USING GENETIC ALGORITHM FOR ABNORMAL CONDITIONS MANAGEMENT. MODARES MECHANICAL ENGINEERING[Internet]. 2016;16(5):10-18. Available from: https://sid.ir/paper/177933/en

IEEE: Copy

ZOHREH ROSTAMNEZHAD, TAHMINEH ADILI, ALI CHAIBAKHSH, and ALI JAMALI, “FEEDBACK-FEED FORWARD CONTROL SYSTEM DESIGN AND OPTIMIZING THE PERFORMANCE OF CRUDE OIL FIRED HEATER FURNACE USING GENETIC ALGORITHM FOR ABNORMAL CONDITIONS MANAGEMENT,” MODARES MECHANICAL ENGINEERING, vol. 16, no. 5, pp. 10–18, 2016, [Online]. Available: https://sid.ir/paper/177933/en

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