Parametric Variations Sensitivity Analysis on IM Discrete Speed Estimation from Leonardo Electronic Journal of Practices and Technologies

Motivation: This paper will discuss sensitivity issues in rotor speed estimation for induction machine (IM) drives using only voltage and current measurements. A supervised estimation algorithm is proposed with the aim to achieve good performances in the large variations of the speed. After a brief presentation on discrete feedback structure of the estimator formulated from d-q axis equations, we will expose its performances for machine parameters variations. Method: Hyperstability concept was applied to the synthesis adaptation low. A heuristic term is added to the algorithm to maintain good speed estimation factor in high speeds. Results: In simulation, the estimation error is maintained relatively low in wide range of speeds, and the robustness of the estimation algorithm is shown for machine parametric variations. Conclusions: Sensitivity analysis to motor parameter changes of proposed sensorless IM is then performed.