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This paper presents a new torque ripple minimization technique for a Switched Reluctance Generator (SRG). Although the SRG has many advantageous characteristics as a generator, it has not been widely employed in the industry. One of the most notorious disadvantages of the SRG is its high torque ripple. In this paper, a non-unity Torque Sharing Function (TSF) is proposed to minimize the torque ripple...
The paper presents the energy saving potential of induction machines by using variable rotor flux instead of commonly used constant flux. The efficiency optimized rotor flux depends on the actual load and speed of the motor. At low load it has to be decreased with reference to a pre-calculated lookup table. This table can be included in a field oriented speed control structure as reference value of...
In this paper the recently introduced control strategy referred as variable switching point predictive torque control (VSP2TC) is employed to control a three-level neutral point clamped (NPC) voltage source inverter driving an induction machine (IM). Based on a predictive torque control (PTC) scheme, the controller aims to reduce the high current and torque ripples that occur. In order to actualize...
On account of the reverse salient pole characteristic and defects of the traditional parameter identification method, this article put forward a parameter identification method based on particle swarm optimization(PSO) combine with the mathematical model of the motor. And even made an improvement of PSO. The improvement of PSO can identify the four parameters in same time such as the stator resistance,...
The aim of this paper is to determine an appropriate model of a hybrid diesel-electric locomotive in order to estimate its fuel consumption and test new energy managements. The locomotive is composed of a diesel-based generation subsystem, a battery — supercapacitors storage subsystem and a traction subsystem. A quasi-static model of the locomotive has been carried out from dynamical model. It allows...
This paper presents a Model Reference Adaptive System (MRAS) applied to the sensorless control of a DFIG system. The performance of the MRAS is enhanced by introducing a voltage model bandpass filter approximation to compensate for drift. Control is performed by a rotor-side matrix converter and is limited to the most common speed range in wind systems. Moreover a detailed analysis of the effects...
Because it does not participate in the vehicle traction, the thermal energy is not highlighted in the electric and hybrid electric vehicle (EV and HEV) study, especially for electrical components like electric machines and batteries. Nevertheless, the thermal states of these components can have a great impact on the vehicle behaviour, such as safety, performances and autonomy, etc. This impact is...
Due to the challenge for sensorless control of concentrated windings (CW) interior permanent magnet synchronous machines (IPMSMs), this paper presents the analysis of a novel stator IPMSM for sen-sorless control based on high-frequency rotating voltage signal injection method. The topology of the machine is introduced and the new IPMSM has the advantage of less space harmonics. The sensorless control...
The influence of cross coupling effect on the performance of the indirect rotor field oriented control (IFOC) for high power AC traction drives cannot be neglected due to the wide operation range, low switching frequency and so on. In this paper, the cross coupling problem between d and q axis current component in the IFOC scheme is discussed. An improved current regulation scheme is proposed based...
A new fault detection method for induction machines (IM) is analyzed with respect to transient magnetic material behavior by means of finite element (FE) modeling. The detection method uses the machines inverter to excite the IM with transient voltage pulses and measures the corresponding phase current responses. To account for the material behavior transient BH curves are identified from measurements...
In many cases of new actuation of compliant controlled or bio-inspired joint driven robot, a global identification of electrical and mechanical coupled dynamics is required. This paper proposes a technique which mixes a closed loop output error method with the inverse dynamic identification model method which allows using linear least-squares technique to estimate the parameters. A first approach...
Model predictive control (MPC) is a newly developed control algorithm which can realize the optimal by the state predict and optimal control with lest control errors and smallest control cost. MPC is widely applied in process control systems. In this paper, the MPC algorithm is realized in motor control system instead of the traditional PI regulators. The proposed MPC controller is generic and can...
This paper presents a sensorless and stable control method for a five-phase permanent magnet synchronous motor (PMSM). At first, a model of a five-phase PMSM is presented. After that a stability study has been performed by the analysis of the eigenvalues of the state transition matrix of the linearized PMSM model about an operating point. The results show that the machine speed response is unstable...
This paper deals with the new encoderless control of a 9 phase permanent magnet synchronous generator used for a direct drive 6MW wind turbine. The particularity of the machine is the 3 stars windings that increase the availability of the system. The machine is supplied by 3 Low Voltage (LV) converters, one for each star. The control system insures the torque and the flux control by the sensorless...
A lumped parameter model describing the electromagnetic behavior of Transverse Flux Machines is proposed. Varying magnetic conductivities along the rotor perimeter representing the effective air gap are used to determine the harmonic effects on current dynamics and torque generation. To reduce torque ripples, a control scheme is presented.
For sensorless position detection of permanent magnet synchronous machines at very low speed and standstill, signal injection methods are commonly used. As a prerequisite these so called saliency-tracking methods require a differential magnetic anisotropy of the machine, which is both position and load dependent and thus varying during operation. So the performance of sensorless operation strongly...
This contribution investigates the influence of magnetic saturation on the sensorless control of IPM synchronous motors. An extended analytical motor model is introduced that covers magnetic anisotropies and describes the fundamental wave as well as the harmonic characteristics. Simulation results are compared to actual measurements on a servo drive.
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