比例因子自调整模糊神经网络SRM控制研究

摘要

Based on the principle of switched reluctance motor,a intelligence control algorithm in the application of SRD combined with fuzzy logic and neural network was studied. The controller adjusted the quantification factor and proportion factor automatically to improve the system's performance,control effect was analyzed 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.%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TMS320LF2407 DSP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.