2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE) 2021
DOI: 10.1109/atee52255.2021.9425209
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Control and Parameter Estimation of PMSM by Runge-Kutta Model Based Predictive Control

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“…There are different methods for online parameter estimation such as recursive least square (RLS) [23][28], model reference adaptive system (MRAS) [29], extended Kalman filter (EKF) [30][32], particle swarm optimization (PSO) [33][38], genetic algorithm-based methods [39], modified Jaya algorithm [40], machine learning (ML) algorithm [41], moving horizon estimator (MHE) [42], Runge-Kutta model based predictive method [43], recursive error prediction method (RPEM) [44], impedance methods [45], [46], and Gauss Newton method [47]. This paper includes different numerical methods with their characteristics and basic working process.…”
Section: Introductionmentioning
confidence: 99%
“…There are different methods for online parameter estimation such as recursive least square (RLS) [23][28], model reference adaptive system (MRAS) [29], extended Kalman filter (EKF) [30][32], particle swarm optimization (PSO) [33][38], genetic algorithm-based methods [39], modified Jaya algorithm [40], machine learning (ML) algorithm [41], moving horizon estimator (MHE) [42], Runge-Kutta model based predictive method [43], recursive error prediction method (RPEM) [44], impedance methods [45], [46], and Gauss Newton method [47]. This paper includes different numerical methods with their characteristics and basic working process.…”
Section: Introductionmentioning
confidence: 99%