The Research of Multi-Car Elevator Control Method Based on PSO-GA

Jian Liu; Zi Long Bai; Meng Hua Gu; Xu Zhang; Rui Zhang

doi:10.4028/www.scientific.net/AMM.556-562.2418

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562The Research of Multi-Car Elevator Control Method...

The Research of Multi-Car Elevator Control Method Based on PSO-GA

Abstract:

Multi-car elevator system is a new technique which can reduce the occupied area and improve the transport efficiency in the high-rise and super high-rise buildings. It is remain to be studied in both the control strategy and scheduling method compared with the traditional single elevator group control system, In order to improve the utilization rate and shorten the waiting time, the particle swarm algorithm PSO and GA genetic algorithm optimization control method are studied aiming at the rationality of scheduling strategy of the rationality of elevator. Combining the advantages of two algorithms proposed a novel optimal scheduling algorithm for PSO-GA and carried on simulation analysis, the experimental results demonstrate the effectiveness of the new method of improved PSO-GA.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2418-2421

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2418

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Online since:

May 2014

Authors:

Jian Liu*, Zi Long Bai, Meng Hua Gu, Xu Zhang, Rui Zhang

Keywords:

Control Method, Multi-Car Elevator, Optimization, PSO-GA

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* - Corresponding Author

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