机械制造与自动化Issue(6)：192-195,4.
基于混沌粒子群算法的电梯混合能源系统控制优化
Optimization of Elevator Hybrid Energy Control Based on Chaos-PSO Algorithm
林尧 1刘艳斌 2吴城汀1
作者信息
- 1. 福州大学 机械工程及自动化学院，福建 福州350106
- 2. 福建省特种设备检验研究院，福建 福州350008
- 折叠
摘要
Abstract
The optimization of elevator hybrid energy control is to optimize the control of the energy transfer among different energy supply equipment, such as elevator,solar energy,batteries and super capacitors. Based on the elevator system characteristics and on the premise of meeting the energy needed by the elevator and minimum grid energy consumption,the optimization function for the elevator hybrid energy is established. In the non-continuous switch variables in the objective optimization function,such as 0-1,the hybrid energy management optimization process is of non-linear variable parameter optimization problem,it is difficult to use the or￣dinary analytical methods to calculate it. This paper proposes to use the chaos particle swarm algorithm as the intel igent solving strat￣egy. Through simulation of the elevator, the effectiveness of the model and algorithm is verified.关键词
电梯/优化函数/能源管理/混沌粒子群算法Key words
elevator/optimization function/energy management/chaos-pso algorithm分类
信息技术与安全科学引用本文复制引用
林尧,刘艳斌,吴城汀..基于混沌粒子群算法的电梯混合能源系统控制优化[J].机械制造与自动化,2016,(6):192-195,4.
