摘要
基于开关磁阻电机原理,对智能控制算法在开关磁阻电机中的应用进行研究,将模糊逻辑和神经网络控制相结合,对量化因子、比例因子在线调整以提高系统性能。对改进算法控制效果进行仿真,与常规算法进行仿真比较分析;最后以TMS320LF2407DSP为核心控制芯片、三相不对称半桥电路为SR电机功率变换器主电路控制SR电机,给出实际运行转速波形,并对实验进行了分析。
Based on the principle of switched reluctance motor,a intelligence control algorithm in the appli- cation of SRD combined with fuzzy logic and neural network was studied. The controller adjusted the quantifi- cation factor and proportion factor automatically to improve the system＇s performance, control effect was ana- lyzed and compared by the simulation of improved and unimproved algorithm. The SRM controlled by using TMS320LF2407 as micro control unit and three-phase asymmetric half bridge circuit as power inverter main circuit. The actually rotate speed waves and result analysis were given.
出处
《电气传动》
北大核心
2011年第12期54-60,共7页
Electric Drive
基金
江苏省自然科学基金项目(BK2009350)
南京工程学院校基金项目(KXJ08110)
江苏省高校自然科学基金项目(09KJB460005)
关键词
开关磁阻电机
模糊控制
神经网络
比例因子
switched reluctance motor
fuzzy controls neural network
proportion factor
