Research And Design Of Elevator Group Control System Based On Fuzzy Control

Since the elevator came to birth in 1950s, it has always been the basic means of transportation for vertical traffic in buildings, which has brought huge convenience to people. With the development of science and technology, the buildings becoming more huge and complicated, demands for elevator service become higher. Therefore elevator group control system (EGCS) comes into being to meet the needs.Nowadays people require not only less elevator ride time and less elevator waiting time, but also saving more energy in the whole system. Aiming at meeting the needs of people for elevator system and achieving best control performance from a paradox of different demands, the thesis designs EGCS based on fuzzy control technology. Theoretical analysis and software simulation experiments verify the validity and effectivity of the fuzzy EGCS.The main contributions of the thesis are:(1)Based on study and researches of elevator and elevator group control system, through the comparison with other algorithms of elevator group control,the effectivity and practical application value of the fuzzy control technology is certified.(2)on the basis of the analysis of elevator trafic system, an overall scheme of elevator group control system is designed.The master-slave control structure is designed on the basis of the basic principle of group control.608 controllers are adopted in the group controller to accomplish direct control to the elevator. Group control mainboard uses a control circuit with FPGA as its core and the double interface CANBUS is used as its communication structure. Modular thinking is adopted in the software structure to respectively accomplish fuzzy traffic pattern recognition, optimized dispatching elevators strategy and elevators calculation in each module.(3)After the preparations for a complete theory of fuzzy control technology as well as the analysis of the building elevator passenger traffic system, this thesis puts forward the overall design scheme of fuzzy elevator group control system. Considering the regular passenger traffic mode in elevator traffic system, this thesis adopts the strategy of fuzzy pattern recognition firstly and then the multi-objective optimal scheduling(4)Simulation experiments are designed in MATLAB environment, where the program and simulation model are built. The simulation model is built as the elevator traffic condition in an office building to analyze the passenger capacity and other performance parameters of the FEGS in normal working situation. The minimum time strategy is simulated in the same condition for comparison. The input and output table is established to show result of experiments vividly. Finally the conclusion is drawn from the integrated analysis of the data of experiment. The results show that FEGCS has better performance than the minimum time strategy. They prove that the FEGCS has the effect of decreasing the average waiting time, and certify the validity and the effectivity of the control strategy.