Design of fuzzy based controller for modern elevator group with floor priority constraints
The elevator technologies are developed to serve the requested passenger’s floors with high consideration of passengers’ satisfaction and elevator optimal performance. Responding to the issue, this paper focuses on development of an elevator group controller based on fuzzy algorithm. By introducing...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers ( IEEE )
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/3825/ http://irep.iium.edu.my/3825/2/05937196%5B1%5D.pdf |
| Summary: | The elevator technologies are developed to serve the requested passenger’s floors with high consideration of passengers’ satisfaction and elevator optimal performance. Responding to the issue, this paper focuses on development of an elevator group controller based on fuzzy algorithm. By introducing a fuzzy controller in an elevator system, this project is developed to manage the required passenger traffic density keeping passenger waiting times within
reasonable limits. To increase the performance of the
elevator group three major linguistic variables are
introduced within a set of fuzzy rules. These include the
average waiting time (AWT), power consumption (PC), and floor traffic (FT). When the passenger traffic is high, the low fuzzy control values reduce the importance of priority of floors rather the estimated arrival time is to be minimized. The simulation was accomplished to check the priority of fuzzy system graphically while the actual prototype of elevator system is programmed by PIC device as a controller. As a result a set of fuzzy rules was drawn based on practical considerations; mainly minimization of
waiting time and energy consumption. When a few hall
requests are registered, the elevator controller will
decide which one of the elevators will serve which of the
incoming hall requests. In order to manifest the work
with actual elevator service, a computer simulation of a
four-cars-elevator controller in a twenty storied
building is accomplished by using MATLABTM fuzzy logic toolbox and implements the prototype experimental model. |
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