Open AccessElevator Group Control System Based on Fuzzy Reasoning
Author(s) -
Ke Chen,
Bin Chen,
Jianrong Wang
Publication year - 2022
Publication title -
scholars journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2347-9523
pISSN - 2321-435X
DOI - 10.36347/sjet.2022.v10i01.001
Subject(s) - elevator , debugging , computer science , fuzzy logic , control engineering , control system , adaptive neuro fuzzy inference system , controller (irrigation) , fuzzy control system , engineering , artificial intelligence , operating system , agronomy , structural engineering , biology , electrical engineering
Due to the characteristics of the elevator system itself, traditional control algorithms are difficult to apply to elevator dispatching. However, the fuzzy control algorithm does not require the establishment of an accurate mathematical model, and can be well integrated with the elevator system. Based on fuzzy control, the elevator dispatch can be optimized. The traffic fuzzy inference controller is designed to identify the elevator traffic mode according to the flow of people; the elevator fuzzy inference device is designed to construct the objective function according to the evaluation index. Siemens S7-1200 series PLC is used to control the elevator, the elevator model uses Elevator Simulation Pro for simulation debugging, and Portal WINCC is used as the host computer for debugging to monitor.