自动导航小车制动能量回收控制策略研究

Research on Braking Energy Recovery Control Strategy of Automated Guided Vehicle

以自动导航小车(AGV)及其制动系统为研究对象,针对目前常用的再生制动控制策略的不足,设计了基于模糊推理的再生制动控制策略,以提高AGV能量利用率。首先,在ADVISOR软件中搭建AGV模型,并对ADVISOR软件进行二次开发,使其能够满足AGV四轮驱动的仿真需求;其次,利用Matlab模糊工具箱实现控制算法,并在Simulink中搭建控制算法仿真模块,将控制算法仿真模块嵌入到AGV整车仿真模型中进行仿真;最后,在不同工况下对模糊控制策略和当前的控制策略进行仿真对比,结果显示模糊控制策略具有显著的优异性,制动能量回收率得到很大提高。

In this paper,the automated guided vehicle(AGV)and its braking system are taken as research objects.Aiming at the shortcomings of the commonly used regenerative braking control strategies,a regenerative braking control strategy based on fuzzy control is proposed to improve the energy efficiency of AGV.Firstly,the model of the AGV is built in ADVISOR software,and the ADVISOR software is redeveloped to meet the simulation requirements of four-wheel drive AGV.Then,Matlab fuzzy toolbox is used to realize the control algorithm,and the control algorithm simulation module is built in Simulink and embedded into ADVISOR software for simulation.Finally,under different drive cycle conditions,the proposed control strategy and the current control strategy are compared by simulation.The results show that the control strategy proposed in this paper has remarkable superiority and the energy utilization is greatly improved.