摘要
无刷直流电动机在高性能驱动应用中具有良好的调整性能、高电压、高转矩、高体积比以及无电刷的优点。为了辨识、控制运行在高性能驱动环境下的无刷直流电机,本文设计了一种多层神经网络控制器。这个神经网络既能适时辨识系统的动态性能,又能控制电机使速度和位置跟踪预先选择的轨迹,且跟踪精度较高。在控制中,系统参数漂移和外界干扰可在任意时刻得到补偿,神经网络实现了自适应控制功能,仿真结果表明这种神经网络是有效的。
Brushless direct current motors and have advantages of good adjustment performance, high voltage, high torque, high volumes ratio in high performance drive. To distinguish and control brushless D.C, under a kind of multilevel nerve network controller is designed in this paper. The nerve network can distinguish the dynamic performances of the system in paper time and control electrical machinery to make speed position follow the orbit that is choosen in advance, And the following precision is high.In controll, the systematic parameter drifts about and outside interfere can be compensated at any moment. The nerve network has realized the self-adaptation control function and the emulation result indicates this kind of nerve network is efficient.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2004年第1期76-78,共3页
Journal of Liaoning Technical University (Natural Science)
基金
霍英东教育基金青年教师基金资助项目(71056)
