期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2012
卷号：1
期号：2
页码：62
出版社：International Journal of Computer and Information Technology
摘要：Biodiesel, an alternative diesel fuel made from a renewable source, is produced by the transesterification of vegetable oil or fat with methanol or ethanol. In order to control and monitor the progress of this chemical reaction with complex and highly nonlinear dynamics, the controller must be able to overcome the challenges due to the difficulty in obtaining a mathematical model, as there are many uncertain factors and disturbances during the actual operation of biodiesel reactors. This paper proposes controllers, namely artificial intelligent controllers; online iterative learning controller updating the fuzzy logic controller, inverse adaptive neuro-fuzzy inference system controller and Genetic Algorithm (GA) with ANFIS model is used for PID parameter tuning. These are used as real-time control system for industrial microwave reactor to produce biodiesel from waste cooking oil and animal's fats. The controllers are used to automatically and continuously adjust the applied power supplied to the microwave reactor under different perturbations. A LabVIEW based software tool is used for measurement and control of the full system, with real time monitoring.
