Open AccessThree phase induction motor torque tracking algorithm based on the rotor time constant identification
Author(s) -
Najimaldin M. Abbas,
Dawood N. Saleh,
Ali M. Shakor
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v25.i3.pp1320-1327
Subject(s) - control theory (sociology) , torque , rotor (electric) , direct torque control , constant (computer programming) , engineering , convergence (economics) , tracking (education) , stall torque , induction motor , computer science , physics , control (management) , voltage , mechanical engineering , psychology , pedagogy , electrical engineering , artificial intelligence , economics , thermodynamics , programming language , economic growth
The indirect vector control system can realize the on-line identification of the rotor time constant based on electromagnetic torque. However, still effective range of the torque model is suitable only for heavy load conditions. In this paper, an improved torque tracking model is constructed by modifying the conventional torque model with rotor time constant identification. Through the establishment of the small signal model of the identification system, the stability of the torque model is deeply analyzed, and it is concluded that the torque model has two balance points, namely the expected balance point and the error balance point; the error balance point limits the scope of the torque model root cause. The simulation show that the problem of unbalance point can be avoided with the aid of the proposed algorithm. In addition, the design ideas of proportional-integral adaptive law parameters are given from the two perspectives of system stable operation and optimal convergence process.