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Precise control methods of the electric drives with induction machines like field oriented control (FOC) or direct torque control (DTC) need an accurate model of the machine they control. Certain parameters of the model have to be obtained with sufficient accuracy before the drive can be put into the operation. This article concerns an offline parameter identification method that is suitable for on-site...
In the article, a new approach is considered, which is applying different test current to the motor, closed-loop regulation and making it reach a steady state, finally filtering calculation and getting all the parameters of the motor accurately. This method can run automatically before the induction motor vector controls. So it can improve the performance of vector control without increasing hardware...
Motor parameters should be on-line estimated to realize precise control of PMSM in sensorless vector control system. In this paper, an on-line identification method for PMSM parameters based on cascade MRAS is proposed by analyzing the conventional MRAS. By means of Popov's hyper-stability theory, the model of motor parameters identification is built in synchronous d-q coordinates, and PMSM stator...
Parameter identification for the dynamic model of an induction motor is evaluated, taking into account the magnetic saturation curve. The identification scheme is based on a Particle Swarm Optimization algorithm to fit the motor and model startup stator currents curves. Two different strategies are compared. The first one adds the saturation effects on the magnetizing inductance after using a linear...
The objective of this paper is to investigate an accurate on-line parameters identification method for PMSM. Because a majority of controllers are based on motor models, the parameters of stator resistance and dq-axis inductances play important roles for achieving high-performance control. However, voltage drop between the reference and output voltage in a pulse width-modulation (PWM) voltage source...
In this paper a sensorless rotor speed estimation and parameter identification algorithm is presented. The algorithm is designed specifically for induction motor (IM) drives devoted to automatic rescue devices (ARD) used in lifts and hoist applications. Its peculiarity is that it is based on the sinusoidal steady state mathematical model of the IM and, therefore, can be implemented on a low cost micro-controller...
Development and success of Standstill Frequency Response method (SSFR) seen in recent years compared to other methods for parameter identification of electric machines in general and synchronous machines in particular, are well known. Nevertheless, certain problems and disadvantages are always problematic. Such that the error at low frequencies and the difficulty of measuring the stator resistance...
This paper investigates the influence of inverter nonlinearity on the parameter estimation in permanent magnet synchronous machines (PMSM). An estimator based on model reference adaptive system (MRAS) is firstly described for simultaneously estimating the stator winding resistance and rotor flux linkage, together with injection of a pulse of id <; 0 which is required for activating the estimation...
We have proposed a current observer-based induction motor speed sensorless vector control system which is composed in a rotating reference frame. The characteristic improvement of this system is discussed by taking into account iron loss, stator resistance identification, current low-pass filter and speed estimation low-pass filter. The stability of the system has been investigated by the trajectories...
The performance of the vector control depends on the precise measurements of parameters in motor. The rotor resistance is one of the most important parameters. An adaptive scheme for on-line identification of the rotor resistance based on the artificial neural networks is proposed in this paper. By using the BP algorithm theory, the rotor flux error between the voltage model and the neural network...
This paper presents a robust speed sensorless vector control system of medium voltage induction motor. Rotor speed estimation based on Luenberger observer is analyzed as well as the influence of the motor parameter variation to the estimation accuracy. The characteristics of the motor parameter influence are generalized. According to the different influence of parameter variation at different operating...
The paper deals with rotor resistance identification of induction motor considering core loss. The rotor resistance can not be measured directly and easily varies with the increasing temperature. The problem of its identification bases on equivalent circuit. In the equivalent circuit, the equivalent resistance of core loss is in parallel with mutual inductance of induction motor in two-phase stationary...
The performance of the vector control depends on the precise measurements of parameters in motor. The rotor resistance is one of the most important parameters. And its variation is very significant because of the temperature rise and skin effect during the implementation of control. A rotor resistance estimation method based on artificial neural network (ANN) is proposed in this paper combining with...
In this paper a simple dynamic model for induction machines (IM) with inter-turn winding fault is established. Finite element method is used for parameter identification of the machine under fault condition. The proposed dynamic model is validated by time stepping finite element (FE) analysis. The dynamic model results exhibit the same trend as predicted by FE analysis for different fault insulation...
Axial-flux, Permanent-magnet machines are used in different applications where the power and torque density requirements are very high. These machines have simple structures, relatively high efficiencies and low cost. The parameters of these machines are very small compared with the parameters of conventional machines. Different measuring methods are normally used in order to obtain good estimates...
A novel method of stator resistance identification based on wavelet network is presented and the determination of wavelet network structure is discussed in order to improve the low-speed dynamic performance of induction motor in direct torque control. The current error and the change in the current error is the inputs of the wavelet network and the stator resistance error is the output of the wavelet...
This paper introduces a new method of stator resistance identification based on wavelet network in order to improve the low-speed dynamic performance of induction motor in direct torque control. Because of the advantage of wavelet transform, the desired feature of the transient signal can be extracted conveniently from both the magnitudes and arguments of wavelet coefficients and the control precision...
State-of-the-art overload relays for medium voltage induction motors utilize a simple thermal model and embedded temperature sensors for the thermal protection. However, this model is too conservative and not robust to changes in the motorpsilas cooling capability. This paper reviews thermal model-based approaches and parameter-based approaches to estimate the motor temperature. Each of these general...
This paper presents a new method of on-line estimation for the stator and rotor resistances of the induction motor in the indirect vector controlled drive, using artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights...
Considering mandatory synchronization and torque coupling among motors with fixed joint, taking into account the influences of manufacturing errors, outside interference and electrical parameters drift on the inductive motor properties, this paper presents a novel multi-motor power balance control approach based on multi-DTC and online parameter identification. Speed control with torque balance of...
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