摘要
直线感应电机存在动态边端效应,励磁电感等参数随电机不同运行工况变化较大,离线参数辨识方法无法准确掌握电机参数,导致运行中电机控制特性变差。推导直线感应电机状态空间方程,建立可调动态数学模型,采用模型参考自适应系统进行直线感应电机在线参数辨识,提出直线感应电机励磁电感在线辨识的算法。所建立的电机状态观测器能够准确估算初级电流与次级磁链,参数辨识算法收敛性较好。实验和仿真结果表明电机运行状态下的励磁电感参数计算准确。参数辨识实验结果能够正确反映边端效应影响电机励磁参数的物理特性,即励磁电感随电机速度增加而减小。
Due to the dynamic end effect, the parameters of single sided Linear induction motor （SLIM） vary greatly under different operation conditions, which cannot be obtained accurately through offline parameter identification method. In this paper, a regulated dynamic motor model based on state space function of SLIM is established and a new online identification method based on MRAS is presented. The experimental motor test and simulation are carried out,the output current of motor observer is almost identical to that of the testing motor. The magnetizing inductance of SLIM under moving condition can be calculated accurately. The algorithm exhibit good convergent ability and accuracy. The parameter identification result is concordant to the SLIM dynamic behavior, ie magnetizing inductance of SLIM is decreased with the speed up of the motor.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2008年第24期113-117,共5页
Proceedings of the CSEE
基金
科学院知识创新工程重要方向项目(400012414-4)
关键词
模型参考自适应
直线感应电机
参数辨识
励磁电感
边缘效应
model reference adaptive system linear induction motor parameter identification magnetizing inductance end effects
