Elevator Group Control System Fuzzy Control Technology Research And Design

Application research status and existing problems of fuzzy control technology in the EGCS are analyzed in this thesis,the feasiblity and the necessity of applying fuzzy control technique to the EGCS are analyzed as well.The passenger flow distribution of elevator traffic are analyzed in detail.Then five traffic patterns accorfing to two steps are summarized.The fuzzy resaoning using Max-Min method can identify the current traffic pattern.Considering comperhensive evaluation system of tradition EGCS has its own disadvantage,a more reasonable comprehensive evaluatiom function is built up.The low average waiting time,the low advantage riding time,the low long-time waiting percent and the low power consumption are the most important four evaluation indexes whose weighted average value is acted as the evlaution function.The weight coefficients are adjusted according to different traffic patterns to realize optimization scheduing contrlo of elevator group by final assignment of elecator calling signals.Fuzzy reasoning process of four evaluation indexes is studied in detail in this thesis.Now subordinate functions of input varizbles are comfirmed and the fuzzy reasoning rules base of every evalution index is built.Meanwhile,the relationship between the credibility of every evalution index and input variables is simulated by the simution of MATLAB.The experimental datas show that the change of input can better reflected fuzzy reasoning output value of four evalution indexes,also further verifies the effectiveness of subordinate functions for input variables and the vaildity of the fuzzy reasoning.Finally,it fully shows great efficinecy and feasibility of elevator group control algorithm based on fuzzy control.