采用哈密顿自适应状态观测器的永磁同步电机混沌系统参数辨识

摘要

针对永磁同步电机在运行中出现的混沌状态,提出了一种基于哈密顿自适应状态观测器的永磁同步电机混沌系统参数辨识方法,构造混沌系统的端口受控哈密顿系统模型,利用"扩张+反馈"思想,设计端口受控哈密顿系统的自适应状态观测器,在状态观测的过程中完成参数辨识.仿真验证了哈密顿模型能充分利用系统自身物理结构,所设计的状态观测器结构简单有效、易实现,能观察系统的内部结构和信息,实现高精度辨识.%In view of the chaotic running state in the permanent magnet synchronous motor,aparameter identification method for permanent magnet synchronous motor chaotic system is proposed based on Hamiltonian adaptive state observer.The mathematical model of permanent magnet synchronous motor can be converted into a classic Lorenz chaotic model through a series of state transformation,and within certain range of parameters,the motor emerges chaotic phenomenon.By constructing the port controlled Hamiltonian system model of the chaotic systems,and utilizing the thought"expansion+feedback",the port controlled Hamiltonian adaptive state observer is designed,by which the parameter identification can be completed in the process of state observation. Hamiltonian model can make full use of the physical structure of system itself,and the structure of state observer designed is simple and easy to be implemented.It can observe the internal structure and information of the system.Simulation shows the effectiveness of the adaptive observer,and the high precision identification is realized.