A Modified Kalman Filter-Based Mobile Robot Position Measurement using an Accelerometer and Wheels Encoder
A Modified Kalman Filter-Based Mobile Robot Position Measurement using an Accelerometer and Wheels Encoder

Ali Madhloom; Firas A. Raheem; Azad R. Kareem

Volume 40, Issue 1 , January 2022, , Page 267-274

https://doi.org/10.30684/etj.v40i1.2082

Abstract
  Position measurement is an essential process of mobile robot navigation. In this research, a Kalman Filter is applied to locating a mobile robot furnisher with an encoder and accelerometer. ...  Read More ...
Automatic Objects Detection and Tracking Using FPCP, Blob Analysis and Kalman Filter
Automatic Objects Detection and Tracking Using FPCP, Blob Analysis and Kalman Filter

Hadeel N. Abdullah; Nuha H. Abdulghafoor

Volume 38, 2A , February 2020, , Page 246-254

https://doi.org/10.30684/etj.v38i2A.314

Abstract
  Object detection and tracking are key mission in computer visibility applications, including civil or military surveillance systems. However, there are major challenges that have an ...  Read More ...
Robust Multiple Model Adaptive Control for Dynamic Positioning of Quadrotor Helicopter System
Robust Multiple Model Adaptive Control for Dynamic Positioning of Quadrotor Helicopter System

Safanah M. Raafat; Zainab SH. Mahmoud

Volume 36, 12A , December 2018, , Page 1249-1259

https://doi.org/10.30684/etj.36.12A.6

Abstract
  The quadrotor control has been one of the benchmark control problems. It is considered as an under-actuated, multivariable and high nonlinear system due to its dynamics, having strong ...  Read More ...
Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems
Comparing Kalman Filter and Dynamic Adaptive Neuro Fuzzy for Integrating of INS/GPS Systems

Sameir A. Aziez; Huda Naji Abdul-Rihda

Volume 34, 1A , January 2016, , Page 61-72

https://doi.org/10.30684/etj.34.1A.6

Abstract
  Global Positioning System (GPS) and Inertial Navigation System (INS) technologies have been widely used in a variety of positioning and navigation applications. Both Systems have their ...  Read More ...
Two Stage Kalman Estimators with Probabilistically Weighted Average
Two Stage Kalman Estimators with Probabilistically Weighted Average

Hanady Abbas Jaber

Volume 27, Issue 9 , June 2009, , Page 1847-1857

https://doi.org/10.30684/etj.27.9.15

Abstract
  With spherical coordinate, the adaptive estimation using multiple model filtering isenhanced in this paper. The enhancement is achieved by using just two depended parallelKalman filters, ...  Read More ...
Numerical Study of Forced Convection in Wavy and Diverged-Converged Ducts
Numerical Study of Forced Convection in Wavy and Diverged-Converged Ducts

Waheed S. Mohamad; Sattar J. Habeeb; Anmar M. Basheer

Volume 27, Issue 7 , May 2009, , Page 1385-1403

https://doi.org/10.30684/etj.27.7.14

Abstract
  A three-dimensional study of developing fluid flow and heat transfer throughwavy and diverged-converged ducts were studied numerically for a Prandlt number 0.7and 5.85 and compared ...  Read More ...
State Estimation of Two-Phase Permanent Magnet Synchronous Motor
State Estimation of Two-Phase Permanent Magnet Synchronous Motor

Amjed J. Hamidi; Ahmed Alaa Ogla; Yaser Nabeel Ibrahem

Volume 27, Issue 7 , May 2009, , Page 1435-1443

https://doi.org/10.30684/etj.27.7.17

Abstract
  The goal of this paper is to estimate the states of two-phase permanent magnet synchronousmotor (PMSM). The system is highly nonlinear and one therefore cannot directly use any linearsystem ...  Read More ...