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Accelerated developments of renewable energy production technologies and their integration to existing AC microgrids have led to the emergence of several new inverters control schemes. The recently introduced proportional resonant (PR) controllers have the ability to precisely track AC quantities and are increasingly used in grid supporting inverters, especially for current control loops which are...
This study proposes a sliding-mode direct power control (SMDPC) strategy for a grid-connected bidirectional power converters feeding a doubly-fed induction generator (DFIG) with slip power recovery. The control design, based on the second-order sliding modes (SOSM) is adopted to control both converters rotor side converter (RSC) and the grid side converter (GSC). Simulations performed under Matlab/Simulink...
This paper focuses on a sliding mode power controller (SMPC) of a three-phase grid-connected voltage source converter (VSC). The proposed control scheme aims at regulating the DC-link voltage of the converter and precisely tracking arbitrary power references, in order to easily control the system's power factor. Measures are also proposed to reduce the chattering effects inherent to SMC. Simulations...
This paper presents a robust nonlinear generalized predictive control (RNGPC) strategy applied to a permanent magnet synchronous motor (PMSM) for speed trajectory tracking and disturbance rejection. The nonlinear predictive control law is derived by using a newly defined design cost function. The Taylor series expansion is used to carry out the prediction in a finite horizon. No information about...
This paper presents a robust nonlinear predictive controller (RNPC) for a class of multivariable nonlinear systems with different relative degree. The classical nonlinear predictive control (NPC) based on Taylor approximation method is reformulated and a new cost function is proposed to design the controller. The parameters of this controller are obtained using both generalized minimum variance (GMV)...
A sensorless control strategy for a permanent magnet synchronous generator (PMSG) in variable speed wind energy conversion system (WECS) is proposed. The proposed method is based on recursive least square estimation (RLSE) algorithm for rotor speed estimation using an equation containing only stator flux and current. Further, rotor position information used for coordinate transformation is computed...
This paper presents a sensorless control scheme for a permanent magnet synchronous generator (PMSG) in variable speed wind energy conversion system (WECS) applications. The rotor speed is estimated using recursive least square estimation (RLSE) algorithm using a simple equation which requires only the knowledge of rotor flux. A programmable low pass filter (PLPF) is implemented to obtain the rotor...
A robust generalized predictive controller (GPC) with a disturbance observer for a permanent magnet synchronous motor (PMSM) is presented. The proposed GPC controller combines the linear predictive control techniques together with the disturbance observer, which is designed to take into account the load torque variations and uncertain electrical and mechanical parameters. Stability of the closed-loop...
A new maximum power point tracking (MPPT) controller using artificial neural networks (ANN) for variable speed wind energy conversion system (WECS) is proposed. The algorithm uses Jordan recurrent ANN and is trained online using back propagation. The inputs to the networks are the instantaneous output power, maximum output power, rotor speed and wind speed, and the output is the rotor speed command...
A maximum power point tracking (MPPT) controller for variable speed wind energy conversion system (WECS) is proposed. The proposed method, without requiring the knowledge of wind speed, air density or turbine parameters, generates at its output the optimum speed command for speed control loop of rotor flux oriented vector controlled machine side converter control system using only the instantaneous...
This paper presents a cascaded nonlinear predictive control of a permanent magnet synchronous motor (PMSM) drive. The Taylor series expansion is used to carry out the prediction defined on a finite horizon. However, it's well-known that this control strategy cannot remove completely the steady state error under mismatched parameters and load torque. Then, the full knowledge of machine parameters and...
This paper presents a novel speed estimation algorithm for sensorless speed control in a direct stator flux orientation of an induction motor. The speed observation uses the stator currents and voltages as inputs and, contrary to what is proposed this last decade, is achieved in a reference frame linked to the stator current space vector. This leads to a simple equation for speed calculation which...
Cascaded nonlinear predictive controller for induction motor drive is presented. The load torque, considered as an unknown disturbance, is rejected using a disturbance observer. First, a nonlinear multivariable predictive controller is applied to track electromagnetic torque and rotor flux norm trajectories. Then, a speed predictive control strategy is carried out from the electromechanical equation...
A nonlinear predictive control (NPC) law with a disturbance observer is presented. It is applied to induction motor in order to track speed and flux profiles. The prediction defined on finite horizon is carried out via Taylor series expansion. The load torque is considered as an unknown disturbance and it is estimated by a nonlinear observer. Using the nonlinear predictive control has simplified the...
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