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The high penetration of Wind Turbine (WT) in the grid is a promising solution to increase the electricity production with renewable energies. In this work, we propose a data-driven methodology for dip voltage fault detection and diagnosis. From experimental measurements the current vector trajectory deformation in the (αβ) reference frame is derived and a statistical-based analysis (first four statistical...
The storage systems are intended to achieve energy management of the photovoltaic system and batteries are the most important devices to build energy storage systems. So, to develop a photovoltaic system, developments need to be made, not only in energy conversion technologies, but also regarding the feasibility and capacity of energy storage systems. There are many technologies of batteries to improve...
To evaluate the performances of electronic power converters for photovoltaic (PV) applications, a PV energy source or a PV emulator is required. The PV emulator has the advantage of being low cost, portable and reconfigurable. With a PV emulator, it is possible to reproduce the current vs. voltage characteristics of PV sources that depends on solar irradiance and temperature. Moreover, it is possible...
Any diagnosis procedure should be rapid and efficiency. In the presence of the noise and unknown inputs, the diagnosis procedure could generate false alarms. This paper focuses in the fault detection, isolation and identification when a fault affected the sensors of a DC motor worked in disturbance environment. The chosen technique should take account the two issues: the noise and the unknown inputs...
This paper is a comparative study of classic IMC controller and a new adaptive IMC recurrent neural controller. The two controllers are implemented to control the DC machine speed. The IMC neural controller is based on two neural networks, the first is a recurrent neural network that replaces the DC machine model and the second is a neural network that replaces the internal model controller. The recurrent...
The paper presents an observer synthesis method for distributed parameter systems using the transformation bakstepping. The Backstepping method transforms the system into a stable system with a simpler structure. The method is applied to a chemical reactor tube.
This paper handles the fault detection for the nonlinear systems described in Takagi-Sugeno (TS) form. The TS model is obtained by the sector nonlinearity transformation, representing in an exact way the nonlinear model in a compact of the state space. The used method of diagnosis is obtained by an analytical approach based on parity relations. The generation of residual signal is supplied by the...
This paper deals with a new method current sensors faults detection isolation (FDI) and reconfiguration of the control loops of a permanent magnet synchronous motor (PMSM) drives. The stator currents are measured as well as observed. During fault free operation, the measured signals are used for the PMSM control. In the case of current sensors faults, the faulty measurements are detected and isolated...
This paper deals with a new method single, multiple and simultaneous current sensors faults detection isolation (FDI) and identification for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals...
In this paper, a general dynamic model of a non-salient PMSM subjected to the multiphase inter-turn short circuit fault is proposed. This model can quantitatively describe the faults occurring in multiple phases of the stator. This fault model is simulated in MATLAB/Simulink environment. Extensive simulation studies provide preliminary verification of the validity and the precision of the proposed...
This paper deals with a new method current sensors gain faults detection and isolation (FDI) for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for...
In this paper, a new approach to nonlinear control (NC) of induction motors is presented. This approach consists of a novel direction in the development of controllers for the rotor flux amplitude and the motor speed. The proposed approach shows that the nonlinear motor dynamics can be linearized and decoupled by means of feedback-linearization techniques. A comparative study is carried out between...
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