Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Filters

20212

Settings

Author: search.filters.author.Johnson, T.Subject: search.filters.subject.EKF

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A Comparative Analysis of Speed Estimation Techniques of Induction Motor Drive using Non-linear Kalman Filters
    (Institute of Electrical and Electronics Engineers Inc., 2021) Banu, S.; Johnson, T.; Moger, T.
    In this paper the use of non-linear kalman filters to estimate the rotor speed of an induction motor drive is studied in detail. The general structure of the extended Kalman filter (EKF), unscented kalman filter (UKF) and cubature kalman filter (CKF) is reviewed, and the various system vectors and matrices are defined. By including the rotor speed as a state variable, these non-linear kalman filter equations are established from a discrete two-axis model of the three-phase induction motor. Using MATLAB/Simulink, simulation of the speed estimation algorithm is carried out for an induction motor with Space Vector Modulation (SVM) drive. The experimental results obtained are compared for feasibility and performance, and it is observed that CKF is the most accurate among the three kalman filters even during parameter changes due to motor temperature and speed variations. © 2021 IEEE.
  • No Thumbnail Available
    Item
    A Comparative Study of Bayesian based filters for Dynamic State Estimation in Power Systems
    (Institute of Electrical and Electronics Engineers Inc., 2021) Banu, S.; Johnson, T.; Moger, T.
    Dynamic state estimation of a power system is the first prerequisite for control and stability prediction under transient conditions. Among the states of synchronous machine, precise, accurate, and timely information about rotor angle and speed deviation can be useful to enhance power system reliability and stability. In this paper, the popular variants of Kalman filter are used to estimate the main states of synchronous generators of an SMIB and IEEE 3-generators 9-bus test systems. A case study using a simple power system model is presented to illustrate the comparison between effectiveness of proposed approaches. © 2021 IEEE.