论文部分内容阅读
直线电机在运行过程中,在动态边端效应的作用下,电机参数会发生改变,导致控制性能恶化。该文以中低速磁悬浮列车直线电机为研究对象,以提高直线电机矢量控制性能为研究目标。首先,给出直线电机在α-β坐标系下的数学模型,推导以定子电流、转子磁链为状态变量的状态空间方程;然后,建立直线电机的全阶观测器模型,并详细推导得到增益矩阵;在此基础上,以状态空间方程作为参考模型,以全阶状态观测器模型作为可调模型建立模型参考自适应系统,并选择波波夫超稳定性理论作为自适应律,得到直线电机励磁电感在线辨识算法,并实现直线电机运行在不同工况时励磁电感的在线辨识。最后,将该辨识算法进行仿真及实验验证,结果验证了该算法的正确性。
Linear motor in operation, under the action of dynamic edge effect, the motor parameters will change, leading to deterioration of control performance. In this paper, low-speed maglev train linear motor as the research object, to improve the linear motor vector control performance for the study. Firstly, the mathematical model of the linear motor in the α-β coordinate system is given and the state space equation of the stator flux and rotor flux as the state variables is derived. Then, the full-order observer model of the linear motor is established, and the gain Matrix; Based on this, the state space equation is taken as the reference model, the full-order state observer model is used as an adjustable model to establish a model reference adaptive system, and the supersonic stability theory is chosen as the adaptive law to obtain the linear motor Excitation inductance online identification algorithm, and to achieve linear motor running in different conditions when the excitation inductance online identification. Finally, the identification algorithm is verified by simulation and experimental results. The results verify the correctness of the algorithm.