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Elevator Group Control System Based on Fuzzy Reasoning
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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.
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Title: Elevator Group Control System Based on Fuzzy Reasoning
Description:
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.
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