Adaptive to Rotor Resistance Variations Speed Estimation Algorithms for Induction Motors
- Resource Type
- Conference
- Authors
- Peresada, Sergei; Kovbasa, Serhii; Nikonenko, Yevhen; Rodkin, Dmytro
- Source
- 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek) Advanced Technology (KhPIWeek), 2022 IEEE 3rd KhPI Week on. :1-6 Oct, 2022
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Power, Energy and Industry Applications
Signal Processing and Analysis
Resistance
Asymptotic stability
Induction motors
Trajectory tracking
Heuristic algorithms
Estimation
Rotors
induction motor
speed estimation
rotor resistance
identification algorithm
stability
- Language
Speed estimation algorithms adaptive to rotor resistance variations for speed sensorless field-oriented controlled induction drives are presented. The proposed solution exploits the concept of the full-order flux observer. The overestimation of motor fluxes is applied in order to separate processes of speed and rotor resistance estimation. The adaptive speed estimation algorithm guarantees local asymptotic estimation of stator currents, rotor speed and rotor resistance if conditions of persistency of excitation are met. The stability properties of the estimation algorithm are studied using Lyapunov's second method. It is shown by simulation that the algorithm provides an acceptable dynamics of the speed and rotor resistance estimation. Comparison with the algorithm without flux overestimation, designed using similar approach is presented. If conditions of persistency of excitation are not fulfilled, the algorithm can be used to separately estimate rotor resistance and then use this information in speed estimation algorithm. The proposed observer is suitable for the applications with medium requirements for speed regulation performance.