电梯混合能源节能系统的集成控制研究

Research on the Integrated Control of the Elevator Hybrid Energy-saving System

为了实现电梯最大程度的节能,建立了一种基于电网、太阳能、蓄电池、超级电容器、回馈能量等混合能源管理的电梯集成控制节能系统模型。运用基于混沌系统的模糊神经网络预测控制策略,对节能系统中各能量间的DC/DC控制模块开关变量参数进行预测控制,实现混合能源的合理自动调配和综合利用。在典型工况下,运用Matlab软件对模糊神经预测控制算法进行仿真。仿真结果表明,该控制策略能够满足电梯混合能源节能系统集成控制要求,达到节能降耗的目的。

In order to realize the greatest degree of energy saving for elevators,the model of elevator integrated control energy saving system is established based on hybrid energy management,including power grid,solar energy,storage battery,super capacitor and feedback energy,etc. By using fuzzy neural network predictive control strategy based on chaotic system,the predictive control for discrete variable parameters of DC / DC control modules of various energies in energy saving system is conducted, to implement reasonable automatic allocation and comprehensive utilization. The results of simulation show that this control strategy satisfies the requirements of elevator hybrid energy integrated control systems,reaches the purpose of energy saving and reducing energy consumption.