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电动汽车控制系统与弱磁扩速研究 被引量:3

Control System and Flux-weakening Algorithm of Electric Vehicle
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摘要 针对电动汽车用内置式永磁同步电动机设计控制系统,通过借鉴以往经验以及对电动机响应曲线的分析,结合电动汽车运行实际状况,制定模糊控制规则,设计模糊PI复合型控制器,实现在矢量控制中嵌入,完成模糊PI矢量控制系统仿真。以同时考虑转速和变调率的双判断条件来确定是否需要弱磁控制,实现以转折速度为阈值的分段式矢量控制策略。最后,进行了电动机运转实验,实验结果表明算法提高了电动汽车的响应特性和运行平稳性,拓宽了电动机的可控速度范围,改善了电动汽车的驾驶性能。 Corresponding to the interior permanent magnet synchronous motor(IPMSM) used in electric vehicle(EV),control system was designed.Based on the experts experience and motor response curve,combining the actual running state of EV,the fuzzy control rules were made.The fuzzy-PI controller was designed and embedded in the vector control system,and then the simulation was completed.A double-condition considering both speed and duty cycle was utilized to judge whether the flux-weakening control was necessary.A subsection control strategy was adopted according to the speed threshold.Finally,by the running experiment of IPMSM used in EV,it was proved that the response performance and running stability of the motor were improved,and the controllable speed range was widened.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2012年第10期8-13,共6页 Transactions of the Chinese Society for Agricultural Machinery
基金 国家自然科学基金资助项目(51105043) 西安市年度创新支撑计划资助项目(CXY1120) 中央高校基本科研业务费专项资金资助项目(CHD2011JC043)
关键词 电动汽车 内置式永磁同步电动机 矢量控制 模糊优化 弱磁调速 Electric vehicle Interior permanent magnet synchronous motor Vector control Fuzzy optimum Flux-weakening control
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