Implementation of sliding mode controller plus proportional double integral controller for negative output elementary boost converter

AbstractThis article presents a design, output voltage and inductor current regulations of the negative output elementary boost converter (NOEBC) operated in continuous conduction mode (CCM) using sliding mode controller (SMC) plus proportional double integral controller (PDIC). The NOEBC is a dc–dc converter that can provide high voltage transfer gain, high efficiency, and reduced output voltage and inductor current ripples in comparison with the conventional boost converter. Owing to the time varying switched mode operation, the dynamic characteristics of the NOEBC is non-linear and the designed SMC plus PDIC aims at enhancing the dynamic characteristics along with the inductor current and the output voltage regulations of the NOEBC. The proposed SMC is more appropriate to the essentially variable-structured NOEBC when represented in the state-space average based model. Here, the PDIC suppresses the steady state error and excellent initial start-up response of NOEBC in spite of input supply voltage and load resistance variations. The performance of the SMC plus PDIC is verified for its robustness to perform over a broad range of working conditions in MATLAB/Simulink models as well as in the experimental with the comparative study of a SMC plus proportional-integral-controller (PIC). Simulation and experimental results are presented

Comprehensive Overview of Modern Controllers for Synchronous Reluctance Motor

Synchronous reluctance motor drives (SynRMs) are the best promising machines utilized in modern industries and electric vehicles, according to the current study. Research on new SynRMs drive systems has increased as a result. This review article disseminates the most recent developments in these technologies’ design, modeling, and controlling. First, a simple comparison between the main motor technologies and SynRMs is made. To aid researchers in selecting the appropriate motor controller for their motor drive systems, the most common motor control approaches are examined and classed

Cooperative Communications Based on Deep Learning Using a Recurrent Neural Network in Wireless Communication Networks

In recent years, cooperative communication (CC) technology has emerged as a hotspot for testing wireless communication networks (WCNs), and it will play an important role in the spectrum utilization of future wireless communication systems. Instead of running node transmissions at full capacity, this design will distribute available paths across multiple relay nodes to increase the overall throughput. The modeling WCNs coordination processes, as a recurrent mechanism and recommending a deep learning-based transfer choice, propose a recurrent neural network (RNN) process-based relay selection in this research article. This network is trained according to the joint receiver and transmitter outage likelihood and shared knowledge, and without the use of a model or prior data, the best relay is picked from a set of relay nodes. In this study, we make use of the RNN to do superdimensional (high-layered) processing and increase the rate of learning and also have a neural network (NN) selection testing to study the communication device, find out whether or not it can be used, find out how much the system is capable of, and look at how much energy the network needs. In these simulations, it has been shown that the RNN scheme is more effective on these targets and allows the design to keep converged over a longer period of time. We will compare the accuracy and efficiency of our RNN processed-based relay selection methods with long short-term memory (LSTM), gated recurrent units (GRU), and bidirectional long short-term memory (BLSTM),which are all acronyms for long short-term memory methods

Novel Switched Configuration-Based Multilevel Inverter Topology for Industrial Applications

Multilevel inverters proved its capabilities nowadays operating in the symmetrical and asymmetrical source of voltages to bring output voltage nearly to a sinusoid. Several variations in topological strategies put forth better output quality with lesser harmonic distortion. However, it suffers from several issues predominantly such as more number of devices, higher blocking voltage, and power loss for higher voltage levels. This paper forays a fresh topology on switched configuration multilevel inverters with optimum dc sources, switches, voltage level, and filter requirements. The proposed topology has the flexibility to extend for higher voltage levels with make use of less switches. The proposed structure has been simulated in MATLAB/Simulink and validated the results in a laboratory setup

Comprehensive Review of KY Converter Topologies, Modulation and Control Approaches with their Applications

In the current scenario, the challenging task of designing a DC-DC converter has high voltage gain and small output ripple waves, which researchers deal with in highly complicated Because of its topological and continuous conduction mode (CCM), the KY converters have developed a better converter than all the traditional DC-DC converters to overcome this intricacy of voltage transfer gain and output ripple waves. The KY converters had various qualities when compared with the boost converter with Synchronous Rectifier (SR). The KY converter is used in photovoltaic and sustainable power applications, which are examined in this study. For example, the KY converter incorporates mode-1 and mode-2 operation and its types, for example, one plus D and one plus 2D, where the KY can deliver the Nth type of KY converter. This article provides a comprehensive review and investigation of the KY converters, which incorporates their topology with control methodologies, Pulse Width Modulation (PWM) techniques, working activity of KY converters, and types for mode-1 and mode-2; it interprets the few strategies the KY converter executes and its applications. AuthorScopu

Physico-mechanical properties polypropylene/ethylene-propylene diene monomer (PP/EPDM) binary blends

The aim of this study was to develop radiation sterilized polypropylene/ethylene-propylene diene monomer (PP/EPDM) binary blends using melt blending and the mechanical properties of the blends were studied. The PP/EPDM binary blends were prepared in the ratios of 80:20, 60:40, 50:50, 40:60 and 20:80. The binary blends were then compressed for 12 minutes using the hot and cold press machine and were cut into 1mm, 3mm and 6mm thickness for tensile test, impact test, hardness test and Fourier transform infrared spectroscopy analysis. The results showed that higher EPDM content binary blends were more elastic and had better energy absorption compared to lower EPDM ratio binary blends. With the introduction of a 100kGy radiation dose, the binary blends performed better in the Young’s modulus with crosslinking formed within the molecules. Among the PP/EPDM binary blends, 20:80 PP/EPDM blends performed the best in both physical and mechanical properties. This binary blend was suitable for medical devices