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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS)

Atif Iqbal

Qatar University

Author-ID : 2377316

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 7 Documents Claim Missing Document

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Articles

Diagnosis of Stator Turn-to-Turn Fault and Stator Voltage Unbalance Fault Using ANFIS Sk Moin Ahmed; Haitham Abu-Rub; Shady S. Refaat; Atif Iqbal
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 1: February 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (370.329 KB)

An induction machine is a highly non-linear system that poses a great challenge because of its fault diagnosis due to the processing of large and complex data. The fault in an induction machine can lead to excessive downtimes that can lead to huge losses in terms of maintenance and production. This paper discusses the diagnosis of stator winding faults, which is one of the common faults in an induction machine. Several diagnostics techniques have been presented in the literature. Fault detection using traditional analytical methods are not always possible as this requires prior knowledge of the exact motor model. The motor models are also susceptible to inaccuracy due to parameter variations. This paper presents Adaptive Neuro-fuzzy Inference system (ANFIS) based fault diagnosis of induction motors. The distinction between the stator winding fault and supply unbalance is addressed in this paper. Experimental data is collected by shorting the turns of a health motor as well as creating unbalance in the stator voltage. The data is processed and fed to an ANFIS classifier that accurately identifies the faulted condition and unbalanced supply voltage conditions. The ANFIS provides almost 99% accurate and computationally efficient output in diagnosing the faults and unbalance conditions.DOI:http://dx.doi.org/10.11591/ijece.v3i1.1854

Five-Phase Permanent Magnetic Synchronous Motor Fed by Fault Tolerant Five Phase Voltage Source Inverter Hichem Kesraoui; Hamdi Echeikh; Atif Iqbal; Med Faouzi Mimouni
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Multiphase machines have gained attention in numerous fields of pplications such as Aircraft, ship propulsion, petrochemical and automobiles, where high reliability is required. The additional number of phases guarantees that the system continues to operate in faulty conditions compared to the traditional three-phase machine due to the high degree of freedom. Among faults able to affect multiphase system, break between a machine phase and the voltage source inverter (VSI) degrade the performance of the control. In this paper, a five-phase permanent magnet synchronous machine (PMSM) is fed through a fault tolerant voltage source inverter with new structure to ensure drive continuity when open circuit occurs. The five phase PMSM is controlled with fuzzy logic regulator to minimize disturbance impact that can arise fault condition. Paper is accomplished with real time simulations using MATLAB-Simulink in order to validate the new topology and show the effectiveness of the proposed solution.

Backstepping Control for a Five-Phase Permanent Magnet Synchronous Motor Drive Anissa Hosseynia; Ramzi Trabelsi; Atif Iqbal; Med Faouzi Mimounia
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 6, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

This paper deals with the synthesis of a speed control strategy for a five-phase permanent magnet synchronous motor (PMSM) drive based on backstepping controller. The proposed control strategy considers the nonlinearities of the system in the control law. The stability of the backstepping control strategy is proved by the Lyapunov theory. Simulated results are provided to verify the feasibility of the backstepping control strategy.

Online Adaptation of Rotor Resistance based on Sliding Mode Observer with Backstepping Control of A Five-Phase Induction Motor Drives H. Echeikh; R Trabelsi; Atif Iqbal; M.F Mimouni; R Alammari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 7, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Multiphase electric drives have been developed due to numerous advantages offered by those machines when it compared with the conventional three-phase machines. Multiphase motor drives are considered for applications, where the reduction of power per phase for both motor and inverter and high reliability are required. High performance control techniques are developed for multi-phase drives. The performances of the high performance controller and flux observers may be degraded during the operation. Since the parameters of Induction Motor (IM) varies continuously due to temperature variation and heating. Thus it is significantly important that the value of rotor resistance is continuously observed online and adapted by the control algorithm in order to avoid detuning effects. The efficiency and performance of an induction motor drive system can be improved by online observation of the critical parameters, such as the rotor resistance and stator resistance. Among the parameters of IM, rotor resistance is a decisive one for flux estimation, and also the stator resistance becomes critical in the low-speed operation condition. This paper presents a new online estimation method for the rotor resistance of the IM for sliding mode observer. This method generally based on theories of variable structure and is useful in order to adjust online unknown parameters (load torque and rotor resistance). The presented non-linear compensator afford a voltage inputs on the articulation of stator current and rotor speed measurements, and engender an estimates for the unknown parameters simultaneously, the non-measurable state variables (rotor flux and derivatives of the stator current and voltage) that converge to the corresponding true values. Under the persistent excitation condition, the proposed method estimates the actual value of rotor resistance, which guarantees the exact estimation of the rotor flux. Non-linear Backstepping control and adaptive sliding mode observer of a five-phase induction motor drive is presented. The accuracy and validity of the method is verified by MATLAB simulation model.

New Sensorless Sliding Mode Control of a Five-phase Permanent Magnet Synchronous Motor Drive Based on Sliding Mode Observer Anissa Hosseyni; Ramzi Trabelsi; Sanjeeve Kumar; Med Faouzi Mimouni; Atif Iqbal
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

This paper proposes a sensorless sliding mode control (SMC) for a five phase permanent magnet synchronous motor (PMSM) based on a sliding mode observer (SMO). The stability of the proposed strategy is proved in the sense of the Lyapunov theory. The sliding mode controller is designed with an integral switching surface and the sliding mode observer is developed for the estimation of rotor position and rotor speed. The proposed sensorless control strategy exhibits good dynamic response to disturbances. Simulation results are provided to prove the effectiveness of the proposed strategy.

Finite State Predictive Current and Common Mode Voltage Control of a Seven-phase Voltage Source Inverter Atif Iqbal; Shaikh Moinoddine; Khaliqur Rahman
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 6, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v6.i3.pp459-476

The paper elaborate finite set model based predictive current control of a seven-phase voltage source inverter. The current control is carried out considering a finite set of control actions. The space vector model of a seven-phase voltage source inverter (VSI) yields 27 = 128 space voltage vectors, with 126 active and two zero vectors. The control method described in this paper discard some switching states from the whole set and employs reduced number of switching states to track the commanded current. Three sets of space vectors are used for switching actuation, in one case only 15 vectors are used (14 active and one zero), in second case 29 vectors are used (28 active and one zero) and finally 43 vectors (42 active and one zero) are employed. Optimal algorithm is employed to find the vector which minimizes the chosen cost function. The effect of selecting the cost function, the number of space vectors and the sampling time is investigated and reported. The developed technique is tested for RL load using simulation and experimental approaches.

Performance analysis of packed U-cell based inverter-fed five-phase induction motor drive using SINPWM technique Ahmed Riyaz; Pradip Kumar Sadhu; Atif Iqbal; Md. Abdullah Ansari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v11.i4.pp1899-1907

Induction motor is the backbone of current industrial applications. Multiphase machines can handle high power application easily. With the use of five-phase induction motor, advantage of both multi-phase and induction motor can be achieved. This paper presents analysis of five-phase seven level-based Induction motor system fed by packed U-cell based inverter. Modelling of five-phase induction motor is done with the help of mathematical equations using d-q axis transformation. Inverter voltage output comes to be approximately sinusoidal with 18.07% Total Harmonic Distortion (THD). Induction motor with specified parameters is simulated under no-load condition and attains steady state conditions after transient state.

Co-Authors Ahmed Riyaz Anissa Hosseyni Anissa Hosseynia H. Echeikh Haitham Abu-Rub Hamdi Echeikh Hichem Kesraoui Khaliqur Rahman M.F Mimouni Md. Abdullah Ansari Med Faouzi Mimouni Med Faouzi Mimouni Med Faouzi Mimounia Pradip Kumar Sadhu R Alammari R Trabelsi Ramzi Trabelsi Ramzi Trabelsi Sanjeeve Kumar Shady S. Refaat Shaikh Moinoddine Sk Moin Ahmed

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