[Show abstract][Hide abstract] ABSTRACT: The aim of this paper is to present a six-phase induction machine (6PIM) model based on the so-called circuit-oriented approach suitable for simulation of electrical faults on both stator and rotor sides. This specific model has been developed by using only resistances, inductances, and controlled voltage sources. The coupling effects between both the stator and the rotor have been taken into account by the computation of stator–rotor mutual inductances. The model has been developed under the MATLAB/Simulink environment in order to have a universal tool that is easy to use with any control techniques. With this model, it is possible to simulate any type of electrical faults during the motion by closing or opening corresponding switches. The performances of the model have been validated by comparing simulation and experimental results of a 90-W 14-V 50-Hz two-pole 6PIM operating with different levels of load torque in healthy and faulty modes. Furthermore, this model has been associated to a fault-tolerant speed control method in phase opening occurrences in order to test the model accuracy.
No preview · Article · Jan 2015 · IEEE Transactions on Industrial Electronics
[Show abstract][Hide abstract] ABSTRACT: 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 (IRFOC) technique is proposed and used to control the speed of the SC6PEVI in each faulty operation. The proposed controller will be renewed in each fault situation of machine regarding the number and type of missed phases. Furthermore, in this paper, switching between controllers in some different cases is investigated and real time initial conditions setting for controllers is proposed to minimize the transient problems in switching instant. To evaluate the performance of proposed method, the experimental results are obtained on a small SC6PIM rated at 90 W.
[Show abstract][Hide abstract] ABSTRACT: The aim of this paper is to develop a six phase induction machine (6PEVI) model suitable for the simulation of this machine in any system with control circuits and/or connections to the grid by means of power electronics converters. The circuit-oriented approach has been chosen in order to represent the 6PIM model as a rotating transformer. In fact, a class of universal machine model has been built to be used with simple input electrical parameters such as stator and rotor resistances, self, leakage and mutual inductances. With the model, it is possible to simulate any kind of asymmetry in both stator and rotor sides with or without variations of the machine parameters. A specific six-phase induction machine model, using only resistances, inductances and controlled voltage sources, has been developed. The coupling effects between stator and rotor have been taken into account by the computation of stator-rotor mutual inductances. The performances of the model have been verified by comparison between simulation and experimental results on a 0.09kW-14V-50Hz-2 poles 6PEVI working with different levels of the load torque in a healthy and faulty mode.
[Show abstract][Hide abstract] ABSTRACT: Control techniques for electrical machines have been applied for many years to what are called electrical drives (EDs) or adjustable speed drives (ASDs), which are part of almost 25% of applications of electrical machines in the industry. Therefore, this technology has followed the evolution of performances of both power converters and electrical actuators or generators for more than 50 years and the invention of silicon-controlled rectifiers. The aim of this article is not to cover a survey of EDs or ASDs since it has already been covered recently  but rather to present trends of the control part related to this technology. Of course, the control part is fully dependent of the power part and cannot be treated as a stand-alone technique.
No preview · Article · Jun 2014 · IEEE Industrial Electronics Magazine
[Show abstract][Hide abstract] ABSTRACT: The aim of this paper is to show that fuzzy logic algorithm is a suitable control technique for fast processes such as electrical machines. This theory has been experimented in our laboratory on different kinds of electrical machines such as stepping motors, dc motors and induction machines (with 6 phases). The obtained experimental results have underlined the fact that fuzzy logic algorithm is the most suitable control technique for electrical machines since this algorithm is not time consuming and is also robust between plant parameters variations.
[Show abstract][Hide abstract] ABSTRACT: 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 obtained from the observer in unbalanced condition is used in vector control. To ensure the capacity of the observer performance in unbalanced conditions, one, two and three of six phases are lost in experimental test respectively. Also in all tests, maximum value of inertia variation is considered in experimental test as mechanical disturbance.
[Show abstract][Hide abstract] ABSTRACT: 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 to three stator open phases. The experimental results obtained on a dedicated test-bed validate the efficiency of the proposed method.
[Show abstract][Hide abstract] ABSTRACT: In this paper, an advanced control technique using fuzzy logic tuned by a genetic algorithm is proposed in order to obtain a high accuracy positioning of a six-phase induction machine. The proposed control scheme is fully insensitive to mechanical configuration changes as well to loss of one up to three phases. The effectiveness of the method has been validated experimentally using a dedicated set-up based on a 90W-2 pole squirrel-cage induction machine and a 42V dc bus.
[Show abstract][Hide abstract] ABSTRACT: 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 present on overshoot and should be insensitive to the mechanical loads, and it has to operate in faulted mode as well (when electrical machine phases are missing). In this paper, a fuzzy logic controller applied to a six phase induction machine has been developed to realize an effective position control. Some experimental tests in healthy and faulty (1, 2 and 3 missing phases) modes were performed to check the robustness and the accuracy of this controller. In addition, a study concerning the position errors of each operating case will be presented.
[Show abstract][Hide abstract] ABSTRACT: 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. A novel cost function is defined to facilitate the control strategy over both the time-domain and the frequency-domain specifications.
[Show abstract][Hide abstract] ABSTRACT: In this paper, a new variable structure control law is proposed in order to obtain the shaft positioning of a symmetrical six-phase induction machine when phases are lost and when large variations of inertia occur. The algorithm based on a time-varying switching line guarantees the existence of a sliding mode since the beginning of the shaft motion. Indeed, the surface is first designed to pass through the initial representative point and, subsequently, to move toward a predetermined desired surface via shifting. With this algorithm, the induction machine behavior is exactly the same in healthy or in faulted modes when one or more stator phases are lost and whatever the mechanical shaft configuration is. The capacities of this control technique with a mechanical sensor have been tested in simulation and then validated experimentally on a specific setup.
No preview · Article · Jun 2012 · IEEE Transactions on Industrial Electronics
[Show abstract][Hide abstract] ABSTRACT: This paper deals with the development of a virtual platform for a Web-based remote application dedicated to condition monitoring and fault detection for ac electrical machines. The platform is based on several tools developed by using the LabVIEW software. Various techniques of condition monitoring and diagnosis of electrical and mechanical faults in ac electrical machines have been integrated such as the broken rotor bar, winding short circuit, bearing damage, or static/dynamic eccentricities. The main features are related to a user-friendly interface, a low-maintenance source code, and a standardized database for ac electrical machine diagnosis. The platform architecture, as well as three different test-rig configurations, has been described. The complete system can be controlled in both local and remote modes by using a simple Internet connection. Some remote experiences have been carried out between the University of Picardie “Jules Verne,” Amiens, France, and the University of Bologna, Bologna, Italy, to verify the effectiveness of the proposed system. The direct applications of this original package are based on diagnosis techniques applied to ac electrical machine faults. Some examples of rotor broken bar detection using classical techniques have been presented to show the effectiveness of the proposed platform. Further information will soon be available on the Open European Laboratory on Electrical Machines Web site: www.oelem.org.
No preview · Article · Nov 2011 · IEEE Transactions on Industrial Electronics
[Show abstract][Hide abstract] ABSTRACT: 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 of operating conditions. The proposed scheme is compared to the conventional proportional-integral control and validated by simulation and experimental tests. High performance control of variable speed induction motor drives can be achieved by means of field oriented control which is based on decoupling of the torque and flux producing components of the stator current (4). The conventional controllers which are designed using the mathematical model of the system are not suitable when the load is nonlinear and uncertainties exist and robust and adaptive controllers have to be used.