This paper presents the comparisons of optimized extended Kalman filters (EKFs) using different fitness functions for speed-sensorless vector control induction motors (IMs). In order to achieve high performance estimations states/parameter by EKF algorithm, state and noise covariance matrices must be accurately selected. For this aim, instead time-consuming trial-and-error method determine those matrices, in algorithm is differential evolution (DEA) multi-objective DEA (MODEA) with...

This paper presents the real-time implementation of a bi input-extended Kalman filter (EKF) (BI-EKF)-based estimator in order to overcome simultaneous estimation problem variations stator resistance <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Rs</i> and rotor xmlns:xlink="http://www.w3.org/1999/xlink">Rr</i> ' aside from load torque xmlns:xlink="http://www.w3.org/1999/xlink">tL</i> all states required for speed-sensorless control induction...

In this article, the real-time comparison of extended and unscented Kalman filter algorithms, which estimate stator stationary axis components currents, rotor fluxes, mechanical speed, load torque including viscous friction term, are performed under different operating conditions for speed-sensorless control applications induction motors (IMs). Thus, it is clarified algorithm more suitable state parameter (load torque) estimation problem IMs. For purpose, four experimental tests have been...

This paper presents an adaptive extended Kalman filter (AEKF) algorithm estimating the stator stationary axis components of currents, rotor fluxes, mechanical speed, and load torque for speed-sensorless control applications induction motors (IMs). The performance a standard (SEKF) depends on correct selection system measurement noise covariance matrices. In SEKF algorithms, these matrices are generally assumed as constant determined by trial-and-error method. However, they affected operating...

In this article, conventional extended Kalman filter (EKF) and adaptive filters (AEKFs) based on fading, strong tracking, innovation are compared for state parameter estimation problem of induction motor (IM) by considering their performances computational burdens. The performance EKFs depends the proper selection system measurement noise covariance matrices. However, it is hard to select optimum elements those matrices using trial-and-error method, affected operating conditions IM....

Today, induction motor (IM) is still the most popular electrical machine due to its robust and rare element-free structure, lower maintenance requirement, cost-effective production. State estimation for this cornerstone speed-sensorless control, fault-tolerant fault diagnostics. Nonlinear Kalman filters, especially extended filters (EKFs), are preferred state and/or parameter methods IM. However, they require a stochastic system with complete process measurement noise covariances optimal...

Recently, model reference adaptive systems (MRASs) used for mechanical speed estimation of induction motors have become the focus interest in literature due to their simple structures, easy implementations, and low computational burdens. In this article, stator current-based MRAS (MRASis), which is one most preferred MRASs, first defined complex domain, then fixed-gain proportional-integral controller causing insufficient performance adaptation mechanism replaced by two different...

Sabit mıknatıslı senkron motorlar sunduğu üstünlüklerden dolayı bir çok alanda yaygın olarak tercih edilmektedir. Diğer taraftan, doğrudan model öngörülü kontrol yöntemlerinin güç dönüştürücüleri ve elektrikli motor sürücülerinin kontrolünde elde ettiği ivme bu alanlardaki başarımını pekiştirmiştir. Bu çalışma, dört farklı yöntemini sabit kontolü üzerinden karşılaştırmaktadır. Literatürde yöntemi karşılaştıran çalışmanın bulunmayışı kısmını çalışmaların da sadece göz önünde bulundurması ana...

Nowadays, the global trend is towards reducing CO2 emissions and one solution to replace internal combustion vehicles with electric vehicles. To this end, drive system, most crucial part of an vehicle, has gained importance become a major research field. The induction motor (IM) best candidates for vehicle applications due its advantages such as having simple robust design, low cost maintenance requirements ability operate in harsh environments. However, it highly nonlinear model timevarying...

This study presents the direct torque controlled induction motor (IM) drive utilizing a novel extended Kalman filter (EKF) that simultaneously estimates stator stationary axis components of currents and fluxes in addition to rotor resistances with assumption available voltages/currents speed. Thus, it is desired show on-line estimations are possible by using single EKF algorithm case speed-sensor. Performances proposed tested under challenging scenarios generated simulations. The obtained...

In this paper, rotor flux-oriented model reference adaptive system (RF-MRAS) based estimators are designed to obtain flux and speed estimations for speed-sensorless control of induction motors (IMs). The proposed RF-MRAS in work replaces Conventional PI controller (CPI) adaptation mechanism with fuzzy-PI (FPI) order improve conventional RF-MRAS. Additionally, the gains both FPI CPI controllers optimized by offline via differential evolution algorithm (DEA) make fair comparisons without using...

This paper presents an adaptive fading extended Kalman filter (AFEKF) based speed-sensorless induction motor (IM) drive. Conventional filters (CEKFs) assume the system (Q) and measurement (R) noise covariance matrices as constant, but those are affected by operating conditions of IMs deteriorate estimation performance. To eliminate this adverse effect, AFEKF algorithm which has ability to update Q R according IM proposed, stator stationary axis components currents, rotor fluxes, mechanical...

This study aims to develop a novel version of bi input-extended Kalman filter (BI-EKF)-based estimation technique in order increase the number state and parameter estimations required for speed-sensorless direct vector control (DVC) systems, which perform velocity position controls induction motors (IMs). For this purpose, all states DVC besides stator resistance $R_{s} $, rotor $R_{r}$, load torque $t_{L}$ including viscous friction term, reciprocal total inertia $1/j_{T}$, are...

In this study, speedsensorless IM drive based on unscented Kalman filter (UKF) with the online estimations of stator stationary axis components currents, rotor fluxes, mechanical speed, load torque including friction term, and resistance is designed. Therefore, proposed speed-sensorless robust to changes. Different challenging scenarios ramp- step-type variations in at both zero high speeds are performed computer simulations demonstrate superiority UKF drive.

In this paper, an unscented Kalman filter (UKF) based speed-sensorless vector control of induction motors (IMs) have been implemented for a wide speed range including zero-speed. The proposed UKF simultaneously estimates stator stationary axis components currents and rotor fluxes, mechanical speed, load torque viscous friction term, resistance. effectiveness the introduced algorithm thus IM drive are verified by computer simulations consisting different challenging scenarios. From point...

This paper proposes a PLECS implementation of predictive torque and flux control strategy for multi-drive system composed two induction machines six-leg indirect matrix converter. Simultaneously, the instantaneous power factor grid is controlled to be minimized. The proposed scheme uses mathematical models machines, input filter, converter select optimal switching state that minimizes error between predictions reference values torque, stator flux, reactive power. results demonstrate fast...

In this study, a speed-sensorless direct torque control (DTC) system using bi input-extended Kalman filter (BI-EKF) is designed to perform the high performance velocity of induction motors (IMs). The BI-EKF algorithm estimates stator stationary axis components fluxes, φ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sa</sub> and xmlns:xlink="http://www.w3.org/1999/xlink">sß</sub> , rotor angular velocity, ω...

Abstract This paper aims to introduce a novel extended Kalman filter (EKF) based estimator including observability analysis the literature associated with high performance speed-sensorless control of induction motors (IMs). The proposed simultaneously performs estimations stator stationary axis components currents and rotor fluxes, mechanical speed, load torque viscous friction term, reciprocal total inertia by using measured phase voltages. estimation is done since it varies coupled shaft...

The importance of permanent magnet synchronous machines (PMSMs) is increasing day by due to trends in the electrification transportation and use wind farms. predictive current control (PCC) strategy has been widely applied power converters electrical over past decade. However, parameter dependency computational complexity are known disadvantages conventional PCC strategy. To deal with weakness caused inconsistencies, model-free proposed. simplified strategies have also reduce complexity. In...