Optimization of Fuzzy Control of Evaporator Superheat Based on Genetic Algorithms
Zhu Ruiqi¹,Tang Chengzhi¹,Kan Yisong²,Wu Qingping³
(1.School of Energe and Power Engineering,Xi'an Jiaotong University,Xi'an 710049,China;2.China Resources Property Management Limited; 3.Xi'n Dayu Limited)

Abstract: Based on dynamic simulation of refrigeration systems, membership functions used in the fuzzy control of superheat in evaporator are optimized using genetic algorithms. A scheme has been given for optimization of triangle membership functions. All the simulation and optimization processes have been implemented with the software MATLAB. Qualities of the optimized fuzzy control and PI control have been compared by experimental results. The fuzzy control makes the overshoot of superheat less and the opration of valve smoother than that of PI control.
Keywords: fuzzy control;membership function;evaporator superheat;genetic algorithms