Comparison between Adaptive and Fuzzy logic controllers for advance microwave biodiesel reactor

Abstract

Biodiesel reactor is the heart of biodiesel system. These reactors involve a highly complex set of chemical reactions and heat transfers. The high nonlinearity requires an efficient control algorithm to handle the variation of operational process parameters and the effect of process disturbances efficiently. In this paper, Fuzzy logic and Adaptive controllers are compared for advance microwave biodiesel reactor. The process control is complex and nonlinear, the Adaptive control have longer time and unreliability in dealing with the system parameters including temperature, microwave power, liquid flow rate as well as the prediction of chemical reaction. The proposed fuzzy logic control will provide precise temperature control and faster warm-up phase with quicker response to disturbances with minimal overshoot and undershoot where Adaptive control techniques can not meet these extra challenges. A closed loop fuzzy and adaptive controllers are used to automatically and continuously adjust the applied power of microwave reactor under different perturbations. Labview based software tool will be presented and used for measurement and control of the full system, with real time monitoring.

Design of a Monitoring and Control System in the Biodiesel Purification Process

“…The biodiesel reaction is non-linear and dynamic requires an efficient control algorithm to handle variations in operating process parameters and the effect of interference on the biodiesel reactor system. Fuzzy control is preferred because it is more adaptive to intervention than PID control (Wali et al 2011). The automatic control system is built based on the transfer function (output and input comparison) of the biodiesel purification process.…”