scholarly journals Iterated extended Kalman filter‐based grid synchronisation control of a PV system

2019 ◽  
Vol 1 (4) ◽  
pp. 219-228 ◽  
Author(s):  
Sudarshan Swain ◽  
Bidyadhar Subudhi
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Pv System ◽  
Iterated Extended Kalman Filter

scholarly journals Direct Visual-Inertial Ego-Motion Estimation Via Iterated Extended Kalman Filter

2020 ◽  
Vol 5 (2) ◽  
pp. 1476-1483
Author(s):  
Shangkun Zhong ◽  
Pakpong Chirarattananon
Keyword(s):  
Kalman Filter ◽  
Motion Estimation ◽  
Extended Kalman Filter ◽  
Iterated Extended Kalman Filter

A Comparative Study of Friction Estimation and Compensation Using Extended, Iterated, Hybrid, and Unscented Kalman Filters

2013 ◽  
Author(s):  
Aftab Ahmad ◽  
Kjell Andersson ◽  
Ulf Sellgren
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Unscented Kalman Filter ◽  
Experimental Simulation ◽  
Estimation Technique ◽  
Friction Forces ◽  
Haptic Devices ◽  
Estimation Techniques ◽  
Iterated Extended Kalman Filter ◽  
Friction Estimation

Transparency is a key performance evaluation criterion for haptic devices, which describes how realistically the haptic force/torque feedback is mimicked from a virtual environment or in case of master-slave haptic device. Transparency in haptic devices is affected by disturbance forces like friction between moving parts. An accurate estimate of friction forces for observer based compensation requires estimation techniques, which are computationally efficient and gives reduced error between measured and estimated friction. In this work different estimation techniques based on Kalman filter, such as Extended Kalman filter (EKF), Iterated Extended Kalman filter (IEKF), Hybrid extended Kalman filter (HEKF) and Unscented Kalman filter (UKF) are investigated with the purpose to find which estimation technique that gives the most efficient and realistic compensation using online estimation. The friction observer is based on a newly developed friction smooth generalized Maxwell slip model (S-GMS). Each studied estimation technique is demonstrated by numerical and experimental simulation of sinusoidal position tracking experiments. The performances of the system are quantified with the normalized root mean-square error (NRMSE) and the computation time. The results from comparative analyses suggest that friction estimation and compensation based on Iterated Extended Kalman filter both gives a reduced tracking error and computational advantages compared to EKF, HEKF, UKF, as well as with no friction compensation.

Sign in / Sign up

Export Citation Format

Share Document