While the Expectation-Maximization (EM) algorithm is a popular and convenient tool for mixture analysis, it only produces solutions that are locally optimal, and thus may not achieve the globally optimal solution. This paper introduces a new algorithm, based on the global optimization algorithm Model Reference Adaptive Search (MRAS), designed to produce globally-optimal solutions in the estimat...

Aiming at sensorless control system of surface attached permanent magnet synchronous motor (SPMSP), three observation algorithms proposed in recent years to estimate rotor position and speed under medium-high operation were introduced this paper. The working principles, advantages disadvantages these such as the Extended Kalman filter algorithm (EKF), Model Reference Adaptive System (MRAS) Slid...

A speed estimation method is presented in this paper for a grid-connected doubly-fed slipring induction machine drive. The proposed method is formulated with reactive power based model reference adaptive system (MRAS). The method does not require the estimation of stator/rotor flux. So, the integrator related problems at synchronous speed are overcome. Also, the estimation method is independent...

With the use of sensorless control strategy, mechanical position sensors can be removed from gearbox, so as to decrease maintenance costs and enhance system robustness. In this paper, a switching PI based model reference adaptive (MRAS) observer using Fuzzy-Logic-Controller (FLC) is introduced for permanent magnet synchronous motor (PMSM) drives. The main work innovation paper include: 1) A dis...

A novel d-axis variable-structure control (VSC) current regulator is proposed for realizing fast and accurate sensorless in the surface-mounted permanent magnet synchronous motor (SPMSM) this article. In regulator, sigmoid function employed as a switching law to reduce chattering effect increase degrees of freedom tuning regulator. The performance under VSC testified by using model reference ad...

In the linear induction motor control system, optical grating speed transducer is susceptible to strong magnetic field interference. What's more, it may reduce integration and raise device costs. Therefore a identification method replace studied in this article. This for mainly adopts Model Reference Adaptive Method (Abbreviated as MRAS) Popov Hyperstability Theory. The research content of pape...

With the aim to achieve high dynamic performances under system uncertainties and load torque even at very low speed range, this paper presents a novel robust sensorless speed vector control strategy for single phase induction motor (SPIM). The proposed strategy includes a speed controller and a model reference adaptive system (MRAS) estimation algorithm of rotor speed both are based sliding mod...

This paper presents a novel method for estimating the load torque of a sensorless indirect stator flux oriented controlled (ISFOC) induction motor drive based on the model reference adaptive system (MRAS) scheme. As a matter of fact, this method is meant to inter-connect a speed estimator with the load torque observer. For this purpose, a MRAS has been applied to estimate the rotor speed with t...

In this study, an induction motor (IM) drive based on speed-sensorless predictive torque control (PTC) is designed to perform the high-performance of IMs by utilizing least mean square (LMS) algorithm for adaptation mechanism model reference adaptive system (MRAS). Here, MRAS with LMS stator currents (i_sα and i_sβ) IM. Moreover, rotor fluxes (φ_rα φ_rβ) are obtained current model, which requir...

This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct...