Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator

Efficiency Enhancement of Switched Reluctance Generator Employing Optimized Control Associated with Tracking Technique

“…The main parameters used as a metric in this step are the output power p 2 , the efficiency of the generator, shown in Equation (7), and the torque ripple. Several studies on the reluctance machines are concentrated in the attempt to minimize the torque ripple, as presented in [14], where an artificial neural controller is applied to minimize the torque ripple and to maximize the power of the SRG. This process is appropriate because the oscillatory nature of this type of electric machine makes the vibrations greater when compared to other types of machines.…”

“…Considering the previous studies developed by the scientific community on this topic, many works are noticeable related to tracking techniques applied to power maximization, as seen in [12][13][14][15]. However, this paper aims to develop an SRG output voltage control system while a tracking technique can enhance the generator's efficiency, making it even more attractive for electricity generation from wind energy in locations without access to the main grid.…”

Regenerative Braking Control Strategy for Electric Vehicles Based on Optimization of Switched Reluctance Generator Drive System

“…The regenerative braking force is limited by the maximum braking torque T m generated by SRG, and also should be determined by considering the condition of vehicle speed u a and the state of charge (SOC) of battery. Therefore, the influence factor k 1 for vehicle speed and the influence factor k 2 for battery SOC are proposed in this paper to adjust the regenerative braking of EVs, which can be defined as equation 5and (6). Furthermore, the actual available maximum regenerative braking torque T reg-max can be calculated as equation 7.…”

“…Electric vehicle (EV) has advantages of low pollution, low noise, and high energy efficiency, which has become the focus of research in the automotive industry [1]- [3]. Currently, switched reluctance motor (SRM) is considered as one of the best options for driving EVs because of its advantages of simple structure, low cost, high reliability, large power generation, and high efficiency in a wide speed range [4]- [6]. Meanwhile, the traction system with SRM can also recover more energy during condition of regenerative braking.…”

“…On the other hand, a novel proportional integrator current chopping control (PICCC) was presented, which can minimize the torque ripple of the SRG in [27]. Reference [6] presented modified toque ripple minimization algorithm of a four-phase 8/6 poles SRG using artificial neural network (ANN) control. A non-unity torque sharing function (TSF) was proposed to minimize the torque ripple over a wide speed range of operation for SRG in [28].…”