Title :
Applying neuro-fuzzy approach for ratio control of primary reformer in a petrochemical plant
Author :
Nazaruddin, Yul Y. ; Dewi, Sista ; Ekawati, Estiyanti ; Nugroho, Setyo
Author_Institution :
Dept. of Eng. Phys., Inst. Teknol. Bandung, Bandung, Indonesia
Abstract :
This paper is concerned with a development of an alternative ratio control method using adaptive neuro-fuzzy approach and its implementation to control steam-gas ratio of primary reformer in a petrochemical plant in Gresik, Indonesia. Ratio control is used to ensure that two flows, i.e steam and gas, are kept at the same ratio even if the flows are changed. Adaptive neuro-fuzzy approach is implemented to model the dynamic inverse of the non-linear control valve system which controls the gas input to the reformer. The modeling is carried out in the learning phase using off-line technique, while in the design process of the neuro-fuzzy controller, an adaptive network will be employed as a building block. An hybrid learning rule is also used to minimize the difference between the actual and given desired trajectory. Results of simulation study demonstrate how the designed control technique performs well in tracking the changing of desired set-point. Performance comparison is also made between the designed and PI controllers.
Keywords :
adaptive control; flow control; fluid dynamics; fuzzy control; fuzzy neural nets; learning systems; neurocontrollers; nonlinear control systems; petrochemicals; process control; valves; Gresik; Indonesia; actual trajectory difference minimization; adaptive network; adaptive neuro-fuzzy approach; alternative ratio control method; design process; desired trajectory difference minimization; gas input control; hybrid learning rule; learning phase; neuro-fuzzy controller; nonlinear control valve system dynamic inverse; offline technique; petrochemical plant; primary reformer; steam-gas ratio control; Adaptation models; Adaptive systems; Control systems; Fuzzy systems; Process control; Valves; inverse learning control; neuro-fuzzy; primary reformer; ratio control;
Conference_Titel :
Instrumentation Control and Automation (ICA), 2013 3rd International Conference on
Conference_Location :
Ungasan
Print_ISBN :
978-1-4673-5795-1
DOI :
10.1109/ICA.2013.6734050