Model Of Induction Motor Research Articles

Design and implementation of a MRAS sliding mode observer for the inverse of the rotor time constant of the induction motor

The paper presents an estimator for the inverse of the rotor time constant of the induction motor. Estimation is done using a sliding mode observer under the assumption that the stationary frame fluxes are known. With measured voltages, currents, and with known fluxes and speed, the paper develops an MRAS-type sliding mode observer. This works well under ideal conditions; however, if the speed is inaccurate or if the magnetising inductance saturates, the accuracy suffers. The paper develops a model for the saturated induction motor and attempts to also estimate the saturation level. In the second part, an observer with only a single set of feedback terms is developed. This is transformed into a sensorless observer by feeding it with a speed estimate (assumed inaccurate). The error in the estimated rotor time constant can be reduced by operating the motor drive with a low ratio of id to iq.

Simplified Model of a Three-Phase Induction Motor for Fault Diagnostic Using the Synchronous Reference Frame DQ and Parity Equations

This work is a simplified analysis of a nonlinear model for a three-phase induction motor in steady state behavior to diagnose of additive and parametric faults. Multiple faults are also considered using the parity equation approach and some logical assumptions. The simplified analysis of the nonlinear model in a synchronous reference frame is used and matched with the linear model of d.c. motor, then the parity space is determined, and finally, the residual equations are obtained. The performance of the fault detection system is validated by using the Matlab software.

Thermal modeling of a linear induction motor used to drive a power supply system for an electric locomotive

In this article a thermal modeling is developed for a double sided linear induction motor which is used to drive a power supply system for an electric locomotive. Two cases were considered for the linear motor, with full plate armature and with sectioned plate armature. The thermal model has been obtained with Pro/Engineering software package and the mesh of the 3-D thermal model has been done using tetrahedron solid elements types. Experimental validation of the model has been realized too. Errors between the simulations and the experimental data (between 1% and 4%) show that the proposed model can be used for accurate precision of the heat distribution on the linear motor.

Ограничение колебаний электромагнитного момента асинхронного двигателя при скалярном частотном управлении

The paper presents mathematical models of induction motor as a system of equations and a structure. It also suggests the correction methods of induction motor with scalar control, which decrease fluctuations of electromagnetic torque. The graphs of the transients of the frequency-controlled electric drive with scalar control, obtained based on the mathematical model with and without additional correction device, are given. The presented scalar control system for induction motor allows starting the electric drive and regula­ting the speed with the stabilization of the electromagnetic torque of induction motor with a maximum deviation from the mean value under 5 %, as well as suppressing the engine speed fluctuations in transient modes. The frequency-controlled electric drives with induction motor and scalar control with improved dynamic properties can be applied in metallurgical mechanisms.

Математическая модель асинхронного двигателя с учетом пазовых гармоник в индукции магнитного поля и неисправностей различного типа

Математическая модель асинхронного двигателя с учетом пазовых гармоник в индукции магнитного поля и неисправностей различного типа

Three phase induction motor modelling and control using vector control in LabVIEW

In this paper, a speed control system for a three-phase induction motor was modelled and designed within LabVIEW software environment. After structuring the dynamical model of the motor, a current controller was developed to stabilize the system and avoid a wind-up situation. Then, a speed controller was designed, using PID and Field Weakening techniques, to generate the reference current values. The field-weakening algorithm is used to achieve stability at speeds that are higher than the nominal one. An estimator is used to calculate the flux angle and the electro-mechanical speed of the motor. As a result, the system achieved the desired speed with good transient and steady state responses. In addition, the system proved to be robust when the torque load is applied in all cases.

Alternating and Rotating Core Loss Characteristics in Three-phase Induction Motor Model Core under High-frequency Excitation Conditions

Alternating and Rotating Core Loss Characteristics in Three-phase Induction Motor Model Core under High-frequency Excitation Conditions

Three phase induction motor modelling and control using vector control in LabVIEW

Three phase induction motor modelling and control using vector control in LabVIEW

DIRECT TORQUE CONTROL OF MULTI-PHASE INDUCTION MOTOR WITH FUZZY LOGIC SPEED CONTROLLER

The paper presents the Direct Torque Control with Space Vector Modulation (DTC-SVM) of seven-phase induction motor with Fuzzy Logic Speed Controller. The mathematical model of the seven-phase squirrel-cage induction motor and chosen methods of Space Vector Modulation have been presented. Simulation studies of the DTC-SVM with Fuzzy Logic speed controller have been carried out and the results of simulation studies have been presented and discussed. The author original contribution includes analysis and studies of considered control method of seven-phase induction motor.

Simulation of an Indirect Rotor Flux Oriented Induction Motor Drive using Matlab/Simulink

Indirect Field Oriented Control (IFOC) is very popular technique in industries due to its simple designing and structure, in comparison to the direct method since it requires flux and torque estimators. This paper presents detail calculation of all values needed for the development of an indirect rotor flux oriented induction motor model fed by a current-controlled voltage source inverter. With the calculated values for 1 hp 50 Hz 3 phase induction motor; an indirect rotor flux oriented model is developed using MATLAB/Simulink. The simulation results are outlined and discussed.

Broken Rotor Bar Fault Detection of IM Based on the Counter-Current Braking Method

This paper presents an improved method for the broken rotor bar detection in a squirrel-cage induction motor (IM). The method is based on the spectral analysis of the transient stator current signal during the counter-current braking (CCB). Contrary to the classical CCB, the proposed method results in the low braking current, which is a small fraction of the rated value and serves as a broken bar detection test signal only. This kind of the broken rotor bar fault diagnosis is independent of loading conditions and can be carried out even for a free shaft motor. The existence of spectral components in the low CCB current signal indicating the faulty conditions is first proven with the generalized theory of symmetrical components. The method is then verified via simulations, using an IM model based on the finite-element analysis and the magnetically coupled multiple circuits approach. Afterward, the experiments are performed, showing a good agreement with both the theoretical prediction and the simulation results, confirming the presence of the fault-induced components in the stator current spectra.

IMITATION MODEL OF A HIGH-SPEED INDUCTION MOTOR WITH FREQUENCY CONTROL

Purpose. To develop the imitation model of the frequency converter controlled high-speed induction motor with a squirrel-cage rotor in order to determine reasons causes electric motor vibrations and noises in starting modes. Methodology. We have applied the mathematical simulation of electromagnetic field in transient mode and imported obtained field model as an independent object in frequency converter circuit. We have correlated the simulated result with the experimental data obtained by means of the PID regulator factors. Results. We have made the simulation model of the high-speed induction motor with a squirrel-cage rotor speed control in AnsysRMxprt, Ansys Maxwell and Ansys Simplorer, approximated to their physical prototype. We have made models modifications allows to provide high-performance computing (HPC) in dedicated server and computer cluster to reduce the simulation time. We have obtained motor characteristics in starting and rated modes. This allows to make recommendations on determination of high-speed electric motor optimal deign, having minimum indexes of vibrations and noises. Originality. For the first time, we have carried out the integrated research of induction motor using simultaneously simulation models both in Ansys Maxwell (2D field model) and in Ansys Simplorer (transient circuit model) with the control low realization for the motor soft start. For the first time the correlation between stator and rotor slots, allows to obtain minimal vibrations and noises, was defined. Practical value. We have tested manufactured high-speed motor based on the performed calculation. The experimental studies have confirmed the adequacy of the model, which allows designing such motors for new high-speed construction, and upgrade the existing ones.

Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach

A simple modified version of neuro-fuzzy controller (NFC) method based on single-input, reduced membership function in conjunction with an intuitive flux–speed decoupled feedback linearization (FBL) approach of induction motor (IM) model is presented in this paper. The proposed NFC with FBL remarkably suppresses the torque and speed ripple and shows improved performance. Further, the modified NFC is tuned by genetic algorithm (GA) approach for optimal performance of FBL-based IM drive. Moreover, the GA searches the optimal parameters of the simplified NFC in order to ensure the global convergence of error. The proposed simplified NFC integrates the concept of fuzzy logic and neural network structure like a conventional NFC, but it has the advantages of simplicity and improved computational efficiency over the conventional NFC as the single input introduced here is an error (speed and torque) instead of two inputs, error and change in error, as in the conventional NFC. This structure makes the proposed NFC robust and simple as compared with conventional NFC and thus, can be easily applied to real-time industry application. The proposed system incorporated with different control methods is also validated with extensive experimental results using DSP2812. The effectiveness of the proposed method using FBL of IM drive is investigated in simulation as well as in experiment with different working modes. It is evident from the comparative results that the system performance is not deteriorated using the proposed simple NFC as compared to the conventional NFC; rather, it shows superior performance over PI-controller-based drive.

MASTER-SLAVES SPEED SYNCHRONIZATION OF TRIPLE 3-PHASE INDUCTION MOTORS USING PI AND PID CONTROL METHODS

This paper presents two methods used for three closed loop speed controller of Variable-Voltage Variable Frequency (VVVF) triple 3-phase Induction Motors (IMs) master/slaves system. A dynamic d-q model of a 3-phase IM in state space form and its computer simulation in MATLAB/SIMULINK software package are described. The two different methods of speed control which are used to improve the performance of three IMs drive system are named as conventional PI controller and PID controller. For PID speed controller, simulation results clearly show that the response of the system is superior compared to PI speed controller in terms of rise time, settling time, accuracy and steady state error. The design, analysis, and speed responses of the system obtained under both controllers have been simulated, studied and compared using MATLAB/Simulink environment for different operating conditions such as sudden change in reference speed and load torque. The simulation results showed good synchronization between the master and the slave IMs with suitable tracking error.

System power loss optimization of electric vehicle driven by front and rear induction motors

Power loss optimization aiming at the high-efficiency drive of front-and-rear-induction-motor-drive electric vehicle (FRIMDEV) as an effective way to improve energy efficiency and extend driving range is of high importance. Different from the traditional look-up table method of motor efficiency, power loss optimization of the dual- motor system based on the loss mechanism of induction motor (IM) is proposed. First of all, based on the power loss characteristic of FRIMDEV from battery to wheels, the torque distribution optimization model aiming at the minimum system power loss is put forward. Secondly, referring to d-q axis equivalent model of IM, the power loss functions of the dual-IM system are modeled. Then, the optimal torque distribution coefficient (β o) between the two IMs is derived, and the theoretical switching condition (T sw) between the single- and dual-motor-drive mode (SMDM and DMDM) is confirmed. Finally, a dual-motor test platform is developed. The derived torque distribution strategy is verified. The influence of motor temperature on β o and T sw are tested, and the correction models based on temperature difference are proposed. Based on the system power loss analysis, it can be confirmed that, under low load conditions, the SMDM takes priority over the DMDM, and the controller of the idling motor should be shut down to avoid the additional excitation loss. While under middle to high load conditions, even torque distribution (β o = 0.5) is preferred if the temperature difference between the two IMs is small; otherwise, β o should be corrected based on dual-motor temperatures. The theoretical T sw derived without dealing with temperature difference is a function only of motor speed, while temperature difference correction of it should be conducted in actual operations based on motor resistance changing with temperature.

A novel fuzzy logic controller for vector controlled induction motor drive

In this paper, a novel fuzzy logic controller is proposed for vector controlled three phase induction motor. Modelling of the three phase induction motor is done with the help of governing modelling equations. Initially PID controller is interfaced with the induction motor model. Performance of the induction motor with PID controller is analysed under disturbance environment. Speed controller action of this PID controller is found to be poor under disturbance environment. Besides, fuzzy logic based speed controller is interfaced with the three phase induction motor. Performance of the induction motor with fuzzy logic controller under disturbance environment is examined. This fuzzy logic controller overcomes the drawbacks of the conventional PID controller. Tracking performance of this fuzzy logic controller is scrutinized in the disturbance environment. Superior speed controller action is achieved by the proposed fuzzy logic based speed controller for the three phase induction motor.

An induction motor model for system frequency response models

An induction motor model for system frequency response models

FPGA implementation of adaptive sliding mode control and genetically optimized PID control for fractional-order induction motor system with uncertain load

In this paper, we investigate the control of 4-D nonautonomous fractional-order uncertain model of a PI speed-regulated current-driven induction motor (FOIM) using a fractional-order adaptive sliding mode controller (FOASMC). First, we derive a dimensionless fractional-order model of the induction motor from the well-known integer -model of the induction motor. Various dynamic properties of the fractional-order induction motor, such as stability of the equilibrium points, Lyapunov exponents, bifurcation, and bicoherence, are investigated. An adaptive controller is derived to suppress the chaotic oscillations of the fractional-order model of the induction motor. Numerical simulations of the adaptive chaos suppression methodology are depicted for the fractional-order uncertain model of the induction motor to validate the analytical results of this work. A genetically optimized fractional-order PID (FOPID) controller is also derived to stabilize the states of the FOIM system. FPGA implementation of the proposed FOASMC is also presented to show that the proposed controller is hardware realizable.

Adaptive controller with RBF neural network for induction motor drive

AbstractIn this paper, the radial basis function neural network‐based model reference adaptive speed control for vector controlled induction motor drive system is presented. The speed control of induction motors is challenging because of their complex mathematical model, non‐linear structure, and time varying dynamics. The radial basis function neural network is used to compensate the non‐linearity which comes from the non‐linear state equations of induction motor model. Neural network parameters are online updated via gradient descent algorithm to minimize the error. The drive system has been tested under various operating conditions. This paper demonstrated benefits of the proposed control approach by comparing the algorithm to conventional PI controllers. The results show that the proposed controller ensures good robustness and stable operation of the system under variable speed and variable loads than the PI controller.

Accurate power-flow initialization of double-cage induction motors using unified Newton-Raphson method

Summary An initialization of power system dynamic simulation using conventional power-flow model is not suitable for induction motor load due to unavoidable mismatch between prespecified reactive powers from power-flow calculation and the ones actually required by motor dynamic model. To eliminate the undesired mismatch, this paper presents a unified method for simultaneously solving power-network and motor variables in single frame of reference using Newton-Raphson algorithm for getting a good rate of convergence. An advanced inverse-Γ model of double-cage induction motors is newly developed to perform the initialization with minimum extra power-flow variables. An ability of the unified Newton-Raphson algorithm is demonstrated using IEEE-300bus and 118bus systems with large numbers of groups of induction motors. The studied results show that the unified algorithm yields a correct steady-state initialization without presence of reactive-power mismatch and also retains a good quadratic convergence characteristic.