Parametric Variations Sensitivity Analysis on IM Discrete Speed Estimation
Journal Title: Leonardo Electronic Journal of Practices and Technologies - Year 2007, Vol 6, Issue 11
Abstract
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.
Authors and Affiliations
Mohamed BEN MESSAOUD, Abdennaceur KACHOURI
Keywords
Related Articles
- EP ID EP91309
- DOI -
- Views 184
- Downloads 0
The Use of LP Simplex Method in the Determination of the Minimized Cost of a Newly Developed Core Binder
A new binder system has been developed which is based on manihot esculenta and cement. The new binder system is expected to be an alternative to Urea formaldehyde furfuryl alcohol binder system commonly used in the found...
Implementation of the Extended Conjugate Gradient Method for the Two-Dimensional Energized Wave Equation
The paper computes the optimal control and state of the two-dimensional Energized wave equation using the Extended Conjugate gradient Method (ECGM). This piece of work has to do with all the vital computational elements...
Mathematical Modelling and Simulation of Mobility of Heavy Metals in Soil Contaminated With Sewage Sludge
This paper is aimed at developing a model equation that can predict the mobility of heavy metal in the soil contaminated with sewage sludge. The model equation was developed and represented by the expression below . The...
Modeling the Physical Properties of Popcorn Varieties as a Function of Kernel Moisture Content
The physical properties such as the axial dimensions (length, width, thickness), geometric mean diameter, thousand kernel weight, shape characteristics (sphericity, kernel volume, kernel surface area), bulk density, part...