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This paper presents a new method to estimate the electrical parameters of an induction motor (IM) fed by Voltage Source Inverter (VSI) using Recursive Least Squares (RLS) method. The estimation model is derived from the dynamic model of the induction machine at standstill. No prior knowledge of the motor parameters is required and four electrical parameters of the IM are simultaneously estimated with...
A framework for a new type of estimation of distribution algorithms (EDAs) is developed. It is similar to the Bayesian optimization algorithm (BOA) except that it replaces Bayesian network model with estimation of schema distribution based on maximum entropy. As structure learning of Bayesian network is not needed, it reduces the computational cost. The experimental results show that the new algorithms...
A modified speed sensorless direct torque control (DTC) scheme for surface permanent magnet synchronous machine (SPM) is investigated in this paper, which features in very low flux and torque ripple and almost fixed switching frequency. Instead of the switching table and hysteresis controllers in the basic DTC, a reference flux vector calculator (RFVC) is used to determine the reference stator flux...
For speed sensorless stator-flux-oriented control (SFOC), the accuracy of the estimated flux position decides the performance of the speed sensorless drive. In this paper, a novel flux estimation method is proposed in which the pure integrator is replaced by a low pass filter (LPF) to resolve the DC-drift and saturation problem and the phase error with the LPF is approximately compensated by the reference...
Multiphase motor drives have many advantages over the traditional three-phase motor drives. In this paper we firstly deduce the mathematic modeling for a dual-three-phase permanent magnet synchronous motor (PMSM) according to vector space decomposition theory. Then, a sensorless vector control based on the model reference adaptive system (MRAS) is developed for a dual-three-phase PMSM and the system...
In this paper, we present a novel algorithm for FRFT with zooming-in ability, which is preferable to previous algorithms because it can freely choose computational resolution and zoom in on any interested portion of the fractional spectra, meanwhile, retains the advantage of the Ozaktas algorithm in computational speed. Its advantages in scrutinizing the fine structure of the partial spectra and improving...
This paper presents a new algorithm to estimate the cyclo-period of a poly-cyclo-stationary signal. The algorithm is essentially based on the time-varying correlation and the variability method; a calculation of the sample variance ratio as a function of the modulated noise variance visually reveals a regular pattern, from which the poly-cyclo-period is obtained. Properties of the estimation method...
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