People usually research modulation mode 3 of SVM for matrix converter discussed in this paper. Actually, other different modulation modes of SVM for matrix converter are worth studying. Two novel modulation modes are put forward for matrix converter for the first time in this paper, expanding its modulation modes of SVM. First, SVM for matrix converter is described. Then the 3 modulation modes ...

The matrix converter system is competitive solution to replace the conventional two stage ac to ac converter. In this paper, a matrix converter driving a speed-controlled induction machine is examined under open-switch fault. First, a-predictive direct torque method is proposed using only the motor torque and current. Second, a motor speed control is presented. The proposed techniques do not re...

In a world where the energy crisis is becoming overwhelming, demand for integrating renewable sources increasing and forming microgrids an essential solution. The new microgrid systems, which depend mainly on instead of conventional synchronous generators, come with low inertia concern. This paper proposes virtual controller based high-pass filter (HPF) to support frequency AC while maintaining...

Micro hydro power plants are small-scale that use hydropower as their driving force. Hydropower can come from irrigation channels, rivers or natural waterfalls, which used by utilizing the waterfall height (head) and amount of water discharge. The main components this plant turbine generator. load on micro generator will affect value voltage frequency generated. This research attempts to make a...

Most often, piezoelectric generators are connected to an AC-DC converter, also called rectifier, obtain a continuous energy which can be regulated and stored. In the case of low power generators, choice rectifier is critical since losses into this circuit not negligible should as possible. paper, different topologies using diode references studied rectify output voltage generator. We show that ...

The lack of labeled samples severely restricts the classification performance deep learning on hyperspectral image classification. To solve this problem, Generative Adversarial Networks (GAN) are usually used for data augmentation. However, GAN have several problems with task, such as poor quality generated and an unstable training process. Thereby, knowing how to construct a generate high-qual...