摘要
从无轴承开关磁阻电机(Bearingless Switched Reluctance Motor,BSRM)转子机械能量入手,采用互联和阻尼分配无源控制(Interconnection and Damping Assignment Passivity-Based Control,IDA-PBC)方法并加入积分环节设计BSRM转子机械子系统无源控制器。针对无源控制器注入阻尼和积分参数难以获得的问题,构建含有能量函数项的控制性能评价函数,采用多开端调节布谷鸟搜索(Multi-start Adjustable Cuckoo Search,MACS)算法优化控制器参数。仿真表明,优化后的BSRM无源控制器具有稳态精度高、调节时间短、波动性小等优点。
Based on the port controlled Hamiltonian(PCH)model of bearingless switched reluctance motor(BSRM)rotor mechanical subsystem,a passivity-based controller for the BSRM rotor mechanical subsystem was designed by the interconnection and damping assignment passivity-based control(IDA-PBC)with the integral element.Aiming at the determination of parameters of injected damping and integral,the improved Cuckoo search(CS)algorithm was used to construct the evaluation function of control performance with energy term to optimize the passivity-based controller parameters.The simulation results show that the optimized passivity-based controller of BSRM rotor mechanical subsystem has the advantages of high steady-state precision,short adjust time and low fluctuation.
作者
陈凌
王宏华
张经炜
谭超
王燚
CHEN Ling;WANG Hong-hua;ZHANG Jing-wei;TAN Chao;WANG Yi(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China)
出处
《广西大学学报(自然科学版)》
CAS
北大核心
2018年第5期1756-1764,共9页
Journal of Guangxi University(Natural Science Edition)
基金
国家自然科学基金资助项目(51477042)
关键词
无轴承开关磁阻电机
机械系统
无源控制
参数优化
评价函数
bearingless switched reluctance motor
mechanical system
passivity-based control
parameter optimization
evaluation function