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The operation of multiphase machines in open-phase fault conditions is always associated with undesirable ripples in torque and power, even in steady state conditions. In the literature, several methods have been proposed to reduce these oscillations considering a fixed-fault situation without taking into account the transient behavior during the modification. In this way, this paper deals with the...
The aim of this work is to propose an efficient vector control for power losses optimisation of a squirrel cage six-phase induction generator (SC6PIG). This method, suitable for variable speed wind energy conversion system (WECS), allows the increase of the generator efficiency whatever the power operating points. This efficient control method is based on Field Oriented Control (FOC) associated to...
This paper presents a Finite Element Analysis (FEA) of a 24kW six-phase Axial Flux Permanent Magnet Synchronous Machine (6AFPMSM) and its validation through experimental tests for fault tolerant generation purposes. The presented topology contains a high pole number and is suited for wind turbines applications in direct-drive or hybrid one-step geared systems. Simulations with Finite Element Method...
The use of multiphase machines can increase the reliability of the system since there are still three healthy phases even in faulted mode. Nevertheless, the controllers have to be updated when a fault occurs. In this way, a general control scheme is proposed in such a way to remove the electromagnetic power oscillations for a six-phase induction generator (6PIG) in healthy and up to three opened-phases...
Energy production or critical applications need fault tolerant operation. Six-phase induction machine (SC6PIG) increases the reliability by allowing the loss of up to 3 phases. Associated with a relevant novel control able to adapt itself to the new configuration, operation can keep on under fault. A novel strategy of control is here proposed with sensorless control. This strategy nonetheless focus...
This paper deals with speed control of a squirrel cage six-phase induction machine (SC6PIM) in phase opening occurrences. A decoupled model of induction machine with unbalanced structure is given to analyze the phase opening operation of the SC6PIM. In order to reduce torque oscillations created in phase opening events, a fault-tolerant operation method by using indirect rotor field oriented control...
This study presents field oriented control of a squirrel cage six-phase induction generator (SC6PIG) when a phase fault is detected in order to minimize output power oscillations during phase opening. An unbalanced structure of squirrel cage six-phase induction machine (SC6PIM) has been modeled to analyze healthy and faulty conditions of the machine. According to the unbalanced structure of the machine,...
In this paper, a speed adaptive flux Luenberger observer is presented for sensorless control of a squirrel cage six phase induction machine (SC6PIM) in healthy and faulty condition. Model of an induction machine in unbalanced operating situation is presented and used to estimate the states of SC6PIM in fault condition by using Luenberger observer and an adaptive speed system. Rotor flux and speed...
This paper introduces a new technique for efficiency optimization of 6-phase induction motor (6PIM) drive, based on fuzzy online search control (SC) method. The modified SC algorithm does not require extra hardware and is insensitive to motor parameters. The results are compared to classic loss model control (LMC) efficiency optimization algorithm in healthy and faulted operational mode due to up...
The present paper proposes an investigation of the thermal phenomena caused by Joule losses and iron losses in a novel electric machine, the dual-rotor Permanent Magnet Induction Machine (PMIM). Empirical dimensionless formulations for the computation of convection heat transfer coefficients in each region of the machine are employed together with 3D FEM computation to predict temperature distribution...
In this paper, the parameters choice of a fuzzy logic regulator used to control the position of a six-phase induction motor for a car steering is performed. Indeed, with the presence of an electronic stability controller (ESC), the braking on the four wheels is controlled and the correction of the direction to adjust the path of the vehicle is also made. Obviously, the position control should never...
In this work, application of fractional-order proportional-integral-derivative (FOPID) controller is proposed for position control of six-phase induction machine (6PIM) in healthy and faulty mode due to open phases. This paper employs genetic algorithm (GA) to carry out the FOPID design procedure. GA is a stochastic global search optimization technique based on the mechanisms of natural selection...
This paper presents an analytical design algorithm and a finite element method (FEM) analysis of a novel type of machine, the dual-rotor Permanent Magnet Induction Machine. The algorithm is based on the simplified Magnetic Equivalent Circuit (MEC) of the machine. After presenting the sizing procedure, the main results obtained via FEM computation are analyzed. Two possible configurations of the PM...
This paper presents a new approach to the sensorless speed control of six-phase induction machine (6PIM). The new technique uses an Adaptive Neural Fuzzy Inference Systems (ANFIS) as a rotor speed estimator to avoid using mechanical sensor. This makes the reference model free of pure integration and less sensitive to stator resistance variations. The ANFIS has been trained offline to estimate the...
In this paper, a fuzzy PI (FPI) controller tuned using genetic algorithms (GA) is proposed for position control of six-phase induction motor (6PIM). The performance and the robustness of the control system are tested for healthy and several faulted operational modes and rotor inertia variations. The FPI controller presents many advantages such as satisfactory control performance under a wide range...
This paper presents a new approach to the sensorless position control of six-phase induction machine (6PIM). A fuzzy-PI (FPI) system has been employed to estimate the rotor position and avoid using mechanical sensor. Also, high-accuracy positioning of a 6PIM rotor can be obtained using such FPI system in model control loops. The input-output scale factors of all FPI systems are tuned using genetic...
In this paper, a fuzzy PI (FPI) controller is proposed for position control of six-phase induction motor (6PIM). The fuzzy controller is tuned by using the genetic algorithm so that a high performance of the overall system's response can be achieved. The performance and the robustness of the control system are tested for fully loaded and widely load inertia variations. The proposed scheme is compared...
In this paper, a new variable structure position control law for a Six Phase Induction Machine (6PIM) is proposed. The algorithm based on a time-varying switching line guarantees the existence of sliding mode since the beginning of the shaft motion. Indeed, the surface is initially designed to pass through the initial representative point and subsequently moved towards a predetermined desired surface...
In this paper, a new variable structure position control law for a Six Phase Induction Machine (6PIM) is proposed. The algorithm based on a time-varying switching line guarantees the existence of sliding mode since the beginning of the shaft motion. Indeed, the surface is initially designed to pass through the initial representative point and subsequently moved towards a predetermined desired surface...
This paper deals with a new variable structure position control law for a Six Phase Induction Machine (6PIM) that is based on time-rotating switching surface. This algorithm guarantees the existence of sliding mode since the beginning of the shaft motion. Indeed, the surface is initially designed to pass through the initial representative point and subsequently moved towards a predetermined desired...
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