Absfracf-This paper presents a variable speed constant frequency system (VSCF) for aircraft applications. The system consists in a doubly fed induction generator (DFIG) connected to a standalone aircraft grid through its stator windings. It uses back-to-back PWM converters connected to the rntor for sub and super synchronous speed operation. A permanent magnet synchronous machine (PMSM) connected to a variable speed prime mover supplies these converters. The control strategy of the DFIG is carried out through a rotorflux inner control loop and a stator-voltage outer loop. The vector control of the PMSM and the DC link voltage regulation are also presented in this paper. Simulation results demonstrate the feasibility ofthe proposed system.
In advanced motor control systems, an accurate knowledge of motor parameters is essential in order to achieve good performances. Some of these parameters, such as stator resistances, are sometimes given by constructors, but they vary according to the operating conditions. This paper presents and compares two parameter identification methods of an actuator used in haptic interfaces which, in this case, is a Permanent Magnet Synchronous Machine (PMSM). Using these methods, the electrical parameters of the PMSM can be determined during different operating conditions. Physical parameters estimation of a dynamic 4-parameter model is performed on the one hand, using an Output Error identification method based on a Non Linear Programming algorithm and on the other hand, using an identification method based on Least-Squares techniques and inverse models.
Model predictive control (MPC) is a model-based control strategy that introduces many advantages but also some drawbacks. The biggest challenge that faces MPC controller is its sensitivity towards parametric variation. This study aims to robustify MPCs by adding a least mean square (LMS) identification algorithm within their structure. The feasibility of this method is tested on a simple example which is the MPC current control of a permanent magnet synchronous motor driven by a two-level power converter. Many tests are firstly performed without including inside the MPC algorithms the LMS online tuning procedure. These tests are later compared with the ones obtained with the same control technique but where the identification algorithm is turned on. Results clearly show all the benefits of using this approach on the controller performances.
This paper presents a variable speed constant frequency (VSCF) system for aircraft applications. More accurately, it focuses on the design of an output filter to reduce the influence of non-linear loads. The VSCF system consists in a doubly fed induction generator (DFIG) supplying a stand-alone aircraft grid through its stator windings. It uses back-toback PWM converters connected to the rotor for sub and super synchronous speed operation. A permanent magnet synchronous machine (PMSM) connected to a variable speed prime mover supplies these converters. An efficient control strategy of the system was presented in a previous paper for linear loads. However, nonlinear loads such as 6-pulse diode rectifiers, that can represent up to 50(% of the total load introduce undesirable current harmonic components. A LC output filter is thus designed to eliminate them. Simulation results demonstrate the feasibility of the proposed system.
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