scholarly journals Performance Improvement of an Extended Kalman Filter Using Simplified Indirect Inference Method Fuzzy Logic

2016 ◽  
Vol 15 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Chang-Hyun Chai
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Performance Improvement ◽  
Extended Kalman Filter ◽  
Indirect Inference ◽  
Inference Method

Three-Level DTC Based on Fuzzy Logic and Neural Network of Sensorless DSSM Using Extended Kalman Filter

2015 ◽  
Vol 5 (4) ◽  
pp. 453 ◽  
Author(s):  
Elakhdar Benyoussef ◽  
Abdelkader Meroufel ◽  
Said Barkat
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Direct Torque Control ◽  
Synchronous Machine ◽  
Double Star ◽  
Torque Control ◽  
Operation Conditions ◽  
Stator Flux

This paper presents a direct torque control is applied for salient-pole double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter known by it is ability to process noisy discrete measurements. Two control approaches using fuzzy logic DTC, and neural network DTC are proposed and compared. The validity of the proposed controls scheme is verified by simulation tests of a double star synchronous machine. The stator flux, torque, and speed are determined and compared in the above techniques. Simulation results presented in this paper highlight the improvements produced by the proposed control method based on the extended Kalman filter under various operation conditions.

scholarly journals Fuzzy Logic-based Adaptive Extended Kalman Filter Algorithm for GNSS Receivers

2018 ◽  
Vol 68 (6) ◽  
pp. 560
Author(s):  
Pasumarthi Babu Sreeharsha ◽  
Venkata Ratnam Devanaboyina
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Global Navigation Satellite Systems ◽  
Scintillation Index ◽  
Ionospheric Scintillation ◽  
Inference System ◽  
Gnss Receivers ◽  
Ionospheric Scintillations ◽  
Adaptive Extended Kalman Filter

<p class="p1">Designing robust carrier tracking algorithms that are operable in strident environmental conditions for global navigation satellite systems (GNSS) receivers is the discern task. Major contribution in weakening the GNSS signals are ionospheric scintillations. The effect of scintillation can be known by amplitude scintillation index <em>S</em>4 and phase scintillation index sf parameters. The proposed fuzzy logic based adaptive extended Kalman filter (AEKF) method helps in modelling the signal amplitude and phase dynamically by Auto-Regressive Exogenous (ARX) analysis using Sugeno fuzzy logic inference system. The algorithm gave good performance evaluation for synthetic Cornell scintillation monitor (CSM) data and real-time strong scintillated PRN 12 L1 C/A data on October 24<span class="s1"><sup>th</sup></span>, 2012 around 21:30 h, Brazil local time collected by GNSS software navigation receiver (GSNR’x). Fuzzy logic algorithm is implemented for selecting the ARX orders based on estimated amplitude and phase ionospheric scintillation observations. Fuzzy based AEKF algorithm has the capability to mitigate ionospheric scintillations under both geomagnetic quiet and disturbed conditions.</p>

Human-robot collision avoidance with RFID sensors using fuzzy logic and extended Kalman filter

2013 ◽  
Vol 7 ◽  
pp. 2555-2567 ◽  
Author(s):  
Mohamed Karim Ettouhami ◽  
Younes Raoui ◽  
Mourad Elbelkacemi ◽  
Hakim Elimrani ◽  
Abdellah ElGharad ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Collision Avoidance ◽  
Extended Kalman Filter
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