Dynamic Performance Analysis of a Five-Phase PMSM Drive Using Model Reference Adaptive System and Enhanced Sliding Mode Observer

This paper aims to evaluate the dynamic performance of a five-phase PMSM drive using two different observers: sliding mode (SMO) and model reference adaptive system (MRAS). The design of the vector control for the drive is firstly introduced in details to visualize the proper selection of speed and current controllers’ gains, then the construction of the two observers are presented. The stability check for the two observers are also presented and analyzed, and finally the evaluation results are presented to visualize the features of each sensorless technique and identify the advantages and shortages as well. The obtained results reveal that the de-signed SMO exhibits better performance and enhanced robustness compared with the MRAS under different operating conditions. This fact is approved through the obtained results considering a mismatch in the values of stator resistance and stator inductance as well. Large deviation in the values of estimated speed and rotor position are observed under MRAS, and this is also accompanied with high speed and torque oscillations

Five-Phase Permanent Magnetic Synchronous Motor Fed by Fault Tolerant Five Phase Voltage Source Inverter

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

Enhanced control technique for a sensor-less wind driven doubly fed induction generator for energy conversion purpose

The current paper is concerned with introducing a predictive polar flux control (PPFC) scheme for a variable speed wind driven doubly fed induction generator (DFIG) without speed sensor. The operation of the designed PPFC is based on the power angle regulation. The adaptation process is performed through studying the relation between the generator's torque and the power angle between the stator and rotor flux vectors. A robust observer is designed based on the back-stepping theory to estimate the rotor speed, stator currents, rotor flux and stator and rotor resistances. Furthermore, an effective maximum power point tracking (MPPT) scheme is designed to achieve the optimal wind power exploitation. To recognize the operation of the schemed PPFC, a discursive performance evaluation is performed for the modeled control scheme and the classic predictive torque control (PTC) scheme. The achieved results report that the DFIG's performance is effectively enhanced with the proposed PPFC in comparison with the PTC technique. The improved dynamics are observed through the ripples reduction and reduced switching frequency. In addition, the designed observer has successfully managed in estimating the specified variables with high precision.This publication was made possible by Qatar University Collaborative Research grant # [ QUCG-CENG-21/22-1 ] from the Qatar University. The statements made herein are solely the responsibility of the authors.Scopu

Performance dynamics improvement of a hybrid wind/fuel cell/battery system for standalone operation

Abstract The present study is concerned with improving the dynamics of a hybrid generation system utilized for feeding an isolated load. The system under study consists of a wind‐driven synchronous generator with permanent magnet type, a fuel cell stack and a storage battery layout used to enhance the system reliability. A detailed design for all system parts is introduced. A new formulated predictive controller is utilized to enhance the performance of synchronous generator in comparison with traditional controllers. The wind turbine power system is designed and adopted a maximum power point tracking (MPPT) strategy to optimally exploit the captured wind energy. An energy management procedure is also considered to balance the power‐sharing between different system units. Extensive performance evaluation analysis is introduced in order to validate the capability of the designed controllers of the generator and fuel cell and check the feasibility of the energy management strategy (EMS) as well. The obtained results approve the capability of the proposed controller with the synchronous generator in achieving better dynamics compared with traditional schemes and confirm the validity of the fuel cell control system in managing the stack power. The results also approve the effectiveness of the designed EMS in preserving a balanced power flow

Comparative study between the rotor flux oriented control and non-linear backstepping control of a five-phase induction motor drive - an experimental validation

Multiphase variable speed electric drives are employed in applications where the reduction in the total power per phase and the highest level of overall system reliability is required. Most of the literature on five-phase induction motor (IM) drive deals with field oriented control, direct torque control, and other non-linear control such as backstepping method. This study deals with the theoretical concept and experimental implementation of indirect rotor flux oriented control (IRFOC) and backstepping control (BSC) of a five-phase IM drive. A comprehensive comparison is done between the most popular IRFOC and non-linear BSC. Backstepping control offers high performance in both steady state and transient operations even in the presence of parameters variations. However, this strategy (BSC) allows the synthesis of the speed and the flux control for a five-phase IM, nevertheless this strategy is asymptotically stable in the context of Lyapunov. The comparison is done using experimental approach. The two control approaches are compared in different terms such as their stability proprieties, achievable dynamic performances, online computational effort, the possibilities of controller design and the complexity of their implementation.Scopu

Non-linear backstepping control of five-phase IM drive at low speed conditions-experimental implementation

In this paper non-linear backstepping control (BSC) is employed for high performance five-phase induction motor drive for low speed operation. The traditional control approaches such as direct torque control and indirect rotor field oriented control introduces stability problem at low speed. The proposed BSC is shown to offer stable operation in the sense of Lyapunov and high dynamics at low speed. Experimental results are provided to present the proprieties of the proposed approach at low speed in terms of stability, torque ripple, desired control performance, achievable dynamics and complexity of implementation etc.Scopu

Deadbeat-Based Model Predictive Voltage Control for a Sensorless Five-Phase Induction Motor Drive

This paper introduces a direct model predictive voltage control (DMP VC) for a sensorless five-phase induction motor drive. The operation of the proposed sensorless DMP VC is based on the direct control of the applied stator voltages instead of controlling the torque and flux as in model predictive direct torque control (MP DTC). Thus, the simplicity of the control system is enhanced, which saves the computational time and reduces the commutation losses as well. The methodology based on which the proposed sensorless DMP VC performs its operation depends on minimizing a cost function that calculates the error between the reference and actual values of the direct and quadrature (d-q) axes components of stator voltages. The reference values of d-q components of stator voltages are obtained through incorporating the deadbeat control within the proposed model predictive system. A robust back-stepping observer is proposed for estimating the speed, stator currents, rotor flux, and rotor resistance. The validity of the proposed sensorless DMP VC is confirmed through performing detailed and extensive comparisons between the proposed DMP VC and MP DTC approach. The obtained results state that the drive is exhibiting better performance under the proposed DMP VC with less ripples content and reduced computational burden. Moreover, the proposed back-stepping observer has confirmed its effectiveness in estimating the speed and other variables for a wide range of speed operation

Enhancement of Induction Motor Dynamics Using a Novel Sensorless Predictive Control Algorithm

The paper introduces a novel predictive voltage control (PVC) procedure for a sensorless induction motor (IM) drive. In the constructed PVC scheme, the direct and quadrature (d-q) components of applied voltages are primarily managed instead of controlling the torque and flux as in the classic predictive torque control (PTC) technique. The theoretical basis of the designed PVC is presented and explained in detail, starting from the used cost-function with its relevant components. A comprehensive performance comparison is established between the two controllers, from which the superiorities of the designed PVC over the PTC approach can be easily investigated through the reduced ripples, reduced computation time, and faster dynamics. To sustain the system’s reliability, a combined Luenberger–sliding mode observer (L-SMO) is designed and verified for different operating speeds for the two controllers. The Luenberger component is concerned with estimating the stator current, rotor flux, and rotor speed. Meanwhile, the sliding mode term is used to ensure the system’s robustness against any disturbance. The verification of PVC’s validity is outlined through performing a performance analysis using the Matlab/Simulink software. The results illustrate that the IM dynamic is significantly improved when considering the constructed PVC compared with the IM dynamics under the PTC. In addition, the designed L-SMO observer has effectively proved its ability to achieve definite parameters and variable estimation