摘要:永磁同步电机在运行过程中,电感和磁链的参数值会发生变化,影响控制系统的精度。针对此问题,利用Ansoft对电感值的变化进行了分析,提出一种基于模型参考自适应的在线辨识电感、磁链参数的方法,此方法经坐标变换后,利用d、q轴电流方程作为参考模型,并借助Popov超稳定性理论建立参数的辨识系统,保证了系统的稳定性和参数的收敛性。仿真结果表明,通过此方法能辨识出电感和磁链参数的数值,证明了方法的有效性,对提高控制性能有所帮助。 关键词:永磁同步电机; 参数; 离线辨识; 在线辨识; 模型参考自适应
Abstract: The values of inductance and flux parameters will change during PMSM in the running and it will affect on stability and precision of PMSM. For the problem, using Ansoft analysed the change of the inductance value, an adaptive online identification method for motor parameters was proposed.Inductance and PM flux of PMSM were achieved at the same time. The model of parameter identification was built in the rotor reference frame and d, qaxis current was used to reference model.This method utilized Popov′s hyperstability theory, it guaranteed stability of the system and convergence of the estimated parameters. The simulation results illustrate the identification strategy is capable of estimating the values of inductance and flux parameters, and improve the static and dynamic performance of PMSM drive system. Key words:permanent magnet synchronous motor; parameter value; offline identification; online identification; MRAS |