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Wind Energy Conversion Systems (WECS) are mostly installed in remote locations; therefore, these systems are prone to various fault conditions. The control of active and reactive power control is very important when WECS are succumbed to faults. In this research paper, the Doubly Fed Induction Generator (DFIG) based WECS operation is analyzed for single and three phase faults near and far away from...
This paper presents a technique to detect and diagnose the broken rotor bars in an induction machine. The main signature used is the stator currents to envelope in the analysis of this kind of fault. Moreover, the envelope analysis of the stator currents is calculated based on the Hilbert Transform. Then, Fast Fourier Transform are introduced to extract the fault components. However, the technique...
A self-sensing method for switched reluctance motors (SRM) for low speed and stand-still is introduced in this paper. The approach utilizes current slopes excited by voltage pulses that are injected into idle phases. To obtain an undisturbed signal for rotor position estimation, a simple integration of the bit-stream output of the delta-sigma modulators in the current measurement path is applied....
In this paper, an Artificial Neural Network ANN based algorithm is proposed for energy conversion system adapting Oscillating Water Column (OWC) coupled to a Wells turbine. The presented algorithm integrates with the associated P-Q controlled grid connected Doubly Fed Induction Generator (DFIG) by calculating the optimized turbine speed that grantees stalling phenomenon avoidance. The proposed technique...
The main purpose of many industrial applications is including control techniques which combine simplicity, robustness, and efficient performance in order to obtain a speed response characterized by fast dynamic, small overshoot, and resistance to disturbances. This combination is achieved through the proposed structure in this paper, where the conventional proportional integral (PI) controller is...
The Competition between the various types of electric motors has not been dependent on the development principle of the performance. Instead of that the total cost of the drive system (Motor-Inverter-Control system) has become an important element which cannot be ignored in the market of automated working mechanisms and modern drive systems. It was necessary to get rid of the position sensor which...
The induction machine has proved to be an appropriate solution for most industrial applications; Moreover, it presents the future of sustainable automotive industry due to the strategies of control and command of which it can be equipped. This paper presents a study of advanced methods applied to the control of induction machine in order to obtain a system satisfying the criterion of robustness. This...
This paper presents the mathematical description of cascade control servo system of the feed drive. A neural network controller is developed in MATLAB/Simulink environment. The comparison between neural network controller and the traditional P-controller is discussed.
Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important electric generator used for Horizontal Axis Wind Turbine (HAWT). In this paper, a Discrete-time Neural Input-Output Feedback Linearization Control (N-IOFLC) for DFIG is proposed to force the rotor currents to track specified reference...
In this paper, artificial neural network assisted MRAS based speed estimator is presented for the poly-phase induction motor drive. The adaptive model of conventional RF-MRAS is replaced by a neural network in order to immune the system from rotor resistance variation and for the reduction of complex mathematical computational efforts. To train the network, Levenberg-Marquardt back-propagation algorithm...
This paper discusses both thermal management of a microrobot and a control IC. The developed microrobot is fabricated by the MEMS (Micro Electro Mechanical Systems) technology. The miniature actuator is constructed by SMA (Shape Memory Alloy) wires and a rotor. It shows rotational motion by heating and cooling process of the SMA wire. Moreover, artificial neural networks are used for the miniature...
A novel robust sliding-mode controller using neural networks (NNs) is given for trajectory tracking control of permanent magnet spherical actuator (PMSA) with external disturbance and system model errors. The controller is established including sliding-mode scheme and the neural networks. The radial basis function (RBF) neural networks are chosen to approximate the unknown model and uncertainty, as...
This paper presents a method to improve power factor of electrical system by automatically controlling a synchronous motor. This proposed method of controller is based on an artificial neural network (ANN) together with adaptive PI. Therefore the ANN adaptive PI controller performs adequately both rapid and slow changing load condition. Generally the performance of this proposed method was highly...
This paper presents a real-time speed control for a linear tubular permanent magnet direct current motor (LTPMDCM) by using artificial neural network (ANN). Firstly, a novel form of LTPMDCM prototype has been developed for linear motions. Then, a low cost motor drive has designed for expected rapid response and precise position control. Software developed in MATLAB environment is used for speed control...
Electric cars are eco-friendly as they run on electrically powered engines and they also promote green environment. This paper describes the fuzzy cerebellar based articulation controller to regulate the speed of the switched reluctance motor (SRM) drive. The proposed controller comprises two parts — a compensating controller and a fuzzy cerebellar model articulation controller (CMAC). The fuzzy CMAC...
The Switched Reluctance Motors (SRMs) are designed for many applications. They have wound field coils for the stator windings. Their rotor however has no magnets or coils attached. Their main drawback is the torque ripple. The torque ripple minimization is reduced in this paper using Torque Sharing Function (TSF) technique for four quadrants operation of the motor. The Artificial Neural Network (ANN)...
Induction motor (IM) plays a pivotal role in majority of the industrial applications. This makes it all the more important for condition monitoring. Stator current monitoring is preferred, as the stator current possesses principle discriminative features, which are the key for effective detection and classification of faults in the IM. This paper portrays a methodology to wirelessly monitor the stator...
Several methods have been proposed to measure the speed of an induction machine without the need for external speed transducers. These sensorless methods typically use observers, require injected signals, or are dependent on the detecting a specific harmonic. This paper investigates using neural networks to identify the speed of a machine using a range of harmonics without specific knowledge of machine...
This paper presents a design of a self-tuned adaptive neuro-fuzzy torque controller (NFTC) technique with reduced number of membership functions (MF) applied to a decoupling linearized induction motor (IM) drive for enhancing the performance. The decoupling controlled of IM is modeled by making the flux and torque decoupled and simulation is carried out in the stationary reference frame with linearized...
Two artificial intelligence (AI) techniques, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), have been proposed for maximum power point tracking (MPPT) of wind energy systems. Both the ANN and ANFIS based controllers have the ability to track the maximum power point (MPP) and the corresponding rotor speed of the wind generator by estimating wind speed with very little...
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