Design of speed adaptation law in sensorless control of induction motor in regenerating mode

Simulation of Non Linear Adaptive Observer for Sensorless Induction Motor Control

“…Machine model based methods of speed estimation have found a great interest among different speed estimation methods for their simplicity. They include different methods such as Luenberger observer (LO) [10][11][12][13], Model Reference Adaptive System (MRAS)[1-2-4-10-15]; Adaptive Flux Observer (AFO) [2-12-14-16]; Sliding Mode Observer (SMO) [17][18] Artificial Intelligence Techniques (AI) [19-20-21]; and Kalman Filer (KF) [22][23].Machine model-based methods are characterized by their simplicity and good performance at high and medium speeds. However at low speeds, they are problematic.…”

“…One of the techniques to study the stability analysis of the speed estimation and simplify the structure of the sensorless control system by means of the using Routh-Hurwitz criterion [12].Or using Lyapunov theory [13]. Stability analysis of both rotor speed and stator resistance estimators for stable AFO [8] and in the regenerative mode at low speeds has been presented in [9][10][11].and parallel speed and stator resistance estimation algorithm based on a sliding mode current observer which combines variable structure control and Popov's hyper stability theories [7].…”