Identification Strategy of Inertia Based on Improved MRAS Algorithm
For the moment of inertia identification system based on model reference adaptive system(MRAS),the identification gain coefficient is an important parameter affecting the identification effect.In the traditional MRAS identification system,the identification gain coefficient is a fixed value,and this fixed gain identification method cannot meet the requirements of convergence speed and stability at the same time.The identification principle of the moment of inertia of permanent magnet synchronous motor based on MRAS algorithm was analyzed,and the influence of the identification gain coefficient on the identifica-tion result of the moment of inertia of the motor was studied.A variable gain MRAS method with real-time change of the identification gain coefficient based on the identification result deviation was designed.Simu-lation results show that the proposed method is feasible and has the characteristics of fast convergence and good stability.
permanent magnet synchronous motormoment of inertia identificationMRASvariable gain
NETL
NSTL
万方数据
维普
