COMPARATIVE STUDY BETWEEN SENSORLESS VECTOR CONTROL AND NONLINEAR CONTROL FOR PMSM BASED ON EXTENDED KALMAN FILTER (EKF)

AbstractThis paper presents the performance of sensorless nonlinear control compared with vector control of permanent magnets synchronous machine using Extended Kalman Filter (EKF) is used for estimating the speed. The robustness of the control is tested for the parameter variation and for the machine operating at low speed. The simulation results show the robustness of the filter and the overall drive system.Keywords: permanent magnets synchronous machine, vector control, input/output control, estimation, EKF

Closed-Loop Drive Detection and Diagnosis of Multiple Combined Faults in Induction Motor Through Model-Based and Neuro-Fuzzy Network Techniques

In this paper, a fault detection and diagnosis approach adopted for an input-output feedback linearization (IOFL) control of induction motor (IM) drive is proposed. This approach has been employed to detect and identify the simple and mixed broken rotor bars and static air-gap eccentricity faults right from the start its operation by utilizing advanced techniques. Therefore, two techniques are applied: the model-based strategy, which is an online method used to generate residual stator current signal in order to indicate the presence of possible failures by means of the sliding mode observer (SMO) in the closed-loop drive. However, this strategy is not able to recognise the fault types and it can be affected by the other disturbances. Therefore, the offline method using the multi-adaptive neuro-fuzzy inference system (MANAFIS) technique is proposed to identify the faults and distinguish them. However, the MANAFIS required a relevant database to achieve satisfactory results. Hence, the stator current analysis based on the HFFT combination of the Hilbert transform (HT) and Fast Fourier transform (FFT) is applied to extract the amplitude of harmonics due to defects occur and used them as an input data set for the MANFIS under different loads and fault severities. The simulation results show the efficiency of the proposed techniques and its ability to detect and diagnose any minor faults in a closed-loop drive of IM

Experimental diagnosis of inter-turns stator fault and unbalanced voltage supply in induction motor using MCSA and DWER

This paper presents a comparative study between two techniques of signal processing to diagnose both faults the inter-turn short circuit (ITSC) in stator windings and the unbalanced voltage supply (UVS) in induction motors. The first is considered a classical technique called Motor Current Signature Analysis (MCSA) which is based on the processing of the stator current by the Fast Fourier Transform (FFT). The second is anadvanced technique based on a Discrete Wavelet Energy Ratio (DWER) of three stator currents. The aim objective of this paper is to compare the ability and effectiveness of both techniques to detect the ITSC fault and the UVS in induction motors, and distinguishing between them. An experimental implementation tests the two diagnosis techniques.The results obtained show that the MCAS technique by the FFT analysis has a difficult to discriminate between the current harmonics due to the provide voltage unbalance and those originated by ITSC faults. Unlike the DWERtechnique, which has high sensitivity and exceptional ability to detect and distinguish between the two faults that lead to the reliability of the diagnosis system. To demonstrate that the DWER is an accurate and robust diagnosis approach are used the neural network (NN) as a tool to classify the faults (ITSC and USV) where using DWER indicators as NN input. The results obtained of combination between the DWER and NN are effective and proved its ability to detect both faults under different load conditions and distinguish between them accurately with low error (10-5)

Broken rotor bars fault detection in induction motors using FFT: simulation and experimentally study

This paper presents the fault detection of broken rotor bars based on the analysis technique, such as the fast Fourier transform (FFT), which utilize the steady-state spectral components of the stator quantities is considered. This technique has been given expected results, the accuracy of this technique depends on the loading conditions and constant speed of the motor. This method shows good theoretical and experimental results

Etude Expérimentale du Diagnostic des Défauts Statoriques et Rotoriques de la Machine à Induction en Boucle Ouverte en utilisant la Transformé de Fourier

L'objectif principal de cet article est le diagnostic et la détection de la présence de défaut de casseur de barre et du court-circuit entre spires des enroulements statorique à travers la Transformé de Fourier basant sur l’analyse de la signature du courant du moteur dans des états sains et défectueux. les différents défauts présentés dans cette étude ont été réalisé au niveau du laboratoire. Les résultats sont obtenus expérimentalement à travers la carte dSpace 1104, ils ont été analysés en utilisant la FFT afin de trouver les signatures des défauts. Grâce à l'analyse spectrale des différents signaux, il a été possible de remédier au problème de confusion entre les types de défauts au-dessus

Performance Improvement of Sensorless Vector Control for Induction Motor Drives using Fuzzy-Logic Luenberger Observer: Experimental Investigation

In recent years, the industrial dire need of sensorless techniques, make them more popular and universal, for high-performance sensorless vector control of induction motor drive, this paper investigates the application of fuzzy logic controller in the adaptive mechanism of Luenberger state observer, in order to ameliorate the estimation of rotor speed. The fuzzy logic adaptive mechanism performances are compared to those based on the PI controller. The obtained estimation results by PI and fuzzy adaptive mechanisms through hardware implementation with dSpace 1104 are recorded and compared under a variety of operating conditions. The experimental results show that the performances of the fuzzy sensorless indirect rotor field oriented controlled induction motor in terms of response, relative error, overshoot and torque ripples are very promising

Discrete wavelet transform and energy eigen value for rotor bars fault detection in variable speed field-oriented control of induction motor drive

International audienceThis paper presents a methodology for the broken rotor bars fault detection is considered when the rotor speed varies continuously and the induction machine is controlled by Field-Oriented Control (FOC). The rotor fault detection is obtained by analyzing a several mechanical and electrical quantities (i.e., rotor speed, stator phase current and output signal of the speed regulator) by the Discrete Wavelet Transform (DWT) in variable speed drives. The severity of the fault is obtained by stored energy calculation for active power signal. Hence, it can be a useful solution as fault indicator. The FOC is implemented in order to preserve a good performance speed control; to compensate the broken rotor bars effect in the mechanical speed and to ensure the operation continuity and to investigate the fault effect in the variable speed. The effectiveness of the technique is evaluated in simulation and in a real-time implementation by using Matlab/Simulink with the real-time interface (RTI) based on dSpace 1104 board

Robust nonlinear control via feedback linearization and Lyapunov theory for permanent magnet synchronous generator- based wind energy conversion system

International audienceIn this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach