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Energy-Saving Oriented Dispatching Strategy of Elevator Group Control Based on Ant Colony

Author: ZhangZhiZhong
Tutor: ZongQun；HanRunLiang
School: Tianjin University
Course: Control Engineering
Keywords: Energy-saving Elevator Group Control Group scheduling Ant Colony Algorithm
CLC: TU857
Type: Master's thesis
Year: 2010
Downloads: 93
Quote: 0
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Abstract


In today's increasingly tense energy, how to effectively reduce the energy consumption of the elevator system, reduce elevator energy loss during operation, has become a major elevator companies and numerous elevator researchers widespread concern. For the elevator group control system, the reduction of energy consumption depends critically on the scheduling method. Although the group control scheduling method has been improved and enhanced, such as fuzzy control, expert systems, neural networks and a series of advanced intelligent control theory have been applied where, but they are by minimizing the total start and stop of the elevator group control system number and frequency of passenger waiting time to improve the efficiency of the system, indirectly reduce energy consumption. But did not fundamentally achieve energy, the energy consumption of the elevator system is still the main source of building energy loss. To solve this problem, this paper-oriented energy-saving elevator group control scheduling method, the energy consumption of the system as a major optimization goal, while the introduction of the ant colony algorithm, from the point of view of the optimal scheduling algorithm to achieve the energy efficiency of the elevator group control system. The ant colony algorithm is an advanced bionic optimization algorithm, and its aim is to find the optimal path, in fact, is the optimal solution in a solution space elevator group control system is the optimal scheduling solution in the solution space. , They cleverly combine and use it as an entry point, the establishment of the ant colony model of the elevator group control system. At the same time, the elevator group control system is a typical multi-target system, target Functions In this paper, the traditional goal of the evaluation function based on energy consumption, using linear weighted combination of each goal into a new evaluation function, that is proposed in this paper Multi-objective cost function is equivalent to the path of the ant colony group control algorithm distance function. As a result, it will be the fundamental goal of energy conservation as group scheduling, the use of new evaluation function to find the optimal schedule is the true sense of the energy-saving scheduling, energy conservation-oriented group scheduling. Completed by the OTIS Elevator Laboratory mature group control simulation platform software implementation, and simulation experiments. Compared with the traditional group control scheduling algorithm to verify this thesis elevator group control scheduling algorithm has advantages in energy saving, has laid a good foundation for further study of this field in the future.

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CLC: > Industrial Technology > Building Science > Housing construction equipment > Mechanical and Electrical Equipment > Elevator Engineering
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