摘要
针对液压混合动力车辆制动过程能量回收率较低的问题,搭建液压混合动力装载机联合制动系统的Simulink仿真模型,并采用自适应神经模糊控制(ANFIS)建立联合制动系统的控制器,然后对仿真模型进行仿真分析,结果表明联合制动系统的控制性能和能量回收率均得到提升。利用dSPACE进行硬件在环试验,所得试验与仿真的结果基本一致,验证了基于自适应神经模糊控制的优化切实有效,为相关控制器的设计提供了参考。
Aimed at the low energy recovery rate of the hydraulic hybrid vehicle braking process,the Simulink model of the hydraulic hybrid loader combined braking system is established,and ANFIS(Adaptive Neural Fuzzy Control)is used to establish the controller of the combined braking system.Then,the simulation calculation is performed.Results shows that the control performance of the combined braking system and the energy recovery rate are improved.The hardware-in-the-loop test using dSPACE is basically consistent with the simulation results,which verifies the optimization based on adaptive neuro-fuzzy control is effective and can provide references for the design of related controllers.
作者
李钊
林慕义
陈勇
LI Zhao;LIN Mu-yi;CHEN Yong(School of Mechanical and Electronic Engineering,Beijing Information Science and Technology University,Beijing 100192;Collaborative Innovation Center of Electric Vehicles in Beijing,Beijing 100192)
出处
《液压与气动》
北大核心
2020年第3期22-29,共8页
Chinese Hydraulics & Pneumatics
基金
国家自然科学基金(51275053)
科技创新服务能力建设-科研基地建设-新能源汽车北京实验室(市级)(PXM 2019_014224_000005)
关键词
能量回收率
联合制动系统
自适应神经模糊控制
控制性能
硬件在环
energy recovery rate
combined braking system
adaptive neuro-fuzzy control
control performance
hardware in the loop
