Rui Tian, Binyang Gao, and Weimin Gao
Elevator group control system, optimal dispatching strategy, fuzzycontrol algorithm, BP
Elevator group control systems (EGCSs) are designed to efficiently manage three or more elevators for passenger transport. Most EGCS utilise hall call assignment methods to allocate elevators in response to passenger requests. Traditional EGCS algorithms typically exhibit an average waiting time (AWT) ranging from 20 to 60 s, a maximum waiting time (MaxAWT) exceeding 60 s, and a long-term waiting rate for passengers (LWP) greater than 10%. To enhance efficiency, a hall call assignment method based on the fuzzy EGCS (FEGCS) is proposed. The input variables for the evaluation index parameters of the FEGCS fuzzy inference are employed for elevator dispatching. A fuzzy inference mechanism is established for each evaluation factor, and the optimal elevator dispatching scheme is selected based on weighted criteria. Through MATLAB simulation evaluation, it is demonstrated that, compared to particle swarm optimisation (PSO), backpropagation neural network (BP), and fuzzy control algorithm (FCA), the combination of FCA and BP can reduce AWT by 7.5% to 24%, MaxAWT by 8% to 37.4%, and LWP by 16.7% to 100%.
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