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This paper focuses on the low speed performance of extended electromotive force (EMF) based position-sensorless speed control of surface permanent magnet synchronous motors (SPMSMs) in real-time. It is the first time Morimoto's extended EMF approach is applied to SPMSM and its low speed performance is evaluated by real-time experiments. The results obtained from the designed position-sensorless drive...
Today, poorly controlled low power centrifugal pumps are responsible for a great fraction of the overall pump related energy consumption in the European Union [1]. It is expected that the energy efficiency can be improved considerably with appropriate automatic flow rate control. Automatic flow rate controllers are not popular among practitioners, however, since their installation and tuning is an...
This paper presents a new approach to the sensorless speed control of induction motors (IM). The new technique uses an Adaptive Neural Fuzzy Inference Systems (ANFIS) as a rotor speed estimator to avoid using mechanical sensor. This makes the reference model free of pure integration and less sensitive to stator resistance variations. The ANFIS has been trained offline to estimate the rotor speed in...
In this paper, the authors investigate the possibility of achieving sensorless speed detection in a wound rotor induction machine. The proposed method is based on tracking the frequency of identified slip-dependent stator current spectral components in a well defined spectral bandwidth. No knowledge of machine slotting is necessary for estimating the current spectral frequencies that carry information...
This study presents bi input-extended Kalman filter (BI-EKF) based speed-sensorless direct torque control (DTC) of induction motors (IMs). For this aim, all states required for the speed-sensorless control system as well as commonly known parameter uncertainties related to stator resistance Rs, rotor resistance R'r, and load torque tL including also viscous friction term have been estimated by using...
This paper presents a new adaptive speed estimation technique for the vector controlled induction motor drive. A model reference adaptive system (MRAS) is formed using instantaneous and steady state values of V * × I in the reference and adjustable models respectively. Such formulation does not require flux estimation and is stable in all the 4- quadrants of operation. Proposed MRAS with stator resistance...
This paper deals with a practical sensorless control method for doubly-fed-induction-generator based wind power generation systems. The speed estimator is based on a novel control scheme called active disturbance rejection control. Encouraging simulation results have been obtained.
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...
Many published methods of rotor position estimation of permanent magnet synchronous machines (PMSM) for medium to high speed are based on the estimation of the back electromotive force (EMF) voltage. From a practical point of view and the demand of minimum complexity, a simple idealized motor model is used many times. Due to this simplification and to a change of coordinates, an observation error...
In this paper, a closed loop adaptive speed observer is proposed to improve the dynamic performance of a matrix converter (MC) fed stator flux oriented DTC induction motor drive. The speed observer uses estimated rotor fluxes to estimate the rotor speed. The advantages of using a full order Luenberger observer instead of a reduced order closed loop model with the proposed speed observer, for the estimation...
This paper presents a method for estimating the torque and speed of line-start induction motor (IM). IM is being used for various purposes because that is a high trust machine for the load mechanism and can be used easily. So, IM is non-breakable. However, load mechanism sometime break. We try to check the condition of load mechanism by estimate the torque and speed of IM. We take up the motor-operated...
Permanent magnet synchronous (PMSM) drives become very popular in many industrial applications. Their construction provides better performance and reliability than DC drives. But there is also one significant disadvantage - actual rotor position knowledge is necessary to control the drive even in the case when only speed control is required. A position sensor has to be used increasing the drive cost...
This paper presents application of adaptive neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estimation. This paper contributes (i) Development of a simple and more realistic model of the induction motor using ANFIS. Using ANFIS, the parameter sets of the motor model are estimated. The simplified model contains eleven estimated parameters. In...
This paper propose an adaptive sliding mode observer(SMO) which adds an estimation function for the stator resistance to the conventional sliding mode observer. It is proposed for the robust sensorless control of permanent magnet synchronous motor(PMSM) with variable parameters. The low-pass filter and additional position compensation of the rotor are used to reduce the chattering problem commonly...
This paper presents system analysis, modeling and simulation of an electric vehicle with different sensorless control techniques. Indeed, sensorless control is considered to be a lower cost alternative than the position or speed encoder-based control of induction motors for an electric vehicle. Two popular sensorless control methods, namely, the Luenberger observer and the Kalman filter methods are...
A scheme of a model reference adaptive system (MRAS) based on the theory of parameter optimization for the PMSM servo system is described in this paper. The scheme can promptly work out the speed of the rotor without any other position/speed sensor. Different from the other MRAS-based speed observers which constructed according the theory of stability customarily, by using the error between the measured...
This paper deals with a new approach of robust sensorless speed control intended to the induction motors. The speed estimation is done from the double use of the so-called self-control process (SCP) of the induction machine which characterizes the relationship between the stator, rotor and mechanical frequencies. Hence, in this approach, the output torque-current controller generates the so-called...
This paper presents a novel model reference adaptive system (MRAS) speed observer for induction motor drives based on stator currents. The measured currents are used as reference model for the MRAS observer to avoid the use of a pure integrator. A two layer Neural Network (NN) stator current observer is used as the adaptive model which requires the rotor flux information. This can be obtained from...
A novel rotor speed estimation method using model reference adaptive control (MRAC) is proposed to improve the performance of a sensor less vector controller. In MRAC methods, state variables, such as rotor flux and stator back EMF are estimated in a reference model and then compared with state variables estimated by using an adjustable model. The difference of these state variables is then used in...
Based on the detailed discussion of the basic principles and merits for stator core saturation method and sliding mode observer (SMO) method, a hybrid rotor position self-sensing approach is investigated by combining the two methods. To detect the initial rotor position, a method based on the magnetic saturation characteristic of the stator core is presented. To detect the rotor position at low speed...
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