Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control
Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
In the field of research and development, the design of a Hybrid Renewable Energy System (HRES) has a general approach, however at the same time, there are some difficulties like their consumption and effectiveness. HRES are becoming more popular for standalone applications such as supplying electricity in rural areas due to increase in energy demand. The commonly accessible renewable energy sources in nature are solar, hydro, wind, biomass/biogas, etc., which need innovative technology to produce more amount of useful power from them. Numerous storage techniques can be used in the renewable energy system like compressed air energy storage, pumped hydro storage, hydrogen fuel cells, and flywheels, and so on, but there are certain parameters that should be kept in mind while choosing storage technology: efficiency, cost energy density, and power density. Two storage devices are considered in this paper; both are producing electricity as well as storage. However, while a battery makes electricity from the energy it has stored inside the battery, a fuel cell makes its electricity from fuel in an external fuel tank. This paper deals with modeling and simulation of a Hybrid Renewable Energy System (HRES) for off-grid electrification of rural areas. It consists of PV array, Proton Exchange Membrane (PEM) fuel cell, and battery along with seven levels Multi-level Inverter (MLI). In this paper, firstly, a dynamic model has been obtained in MATLAB/Simulink environment with the required processing. At the end, the simulation results are presented for the proposed hybrid renewable energy system.
Three phase induction motors are widely used in many industries, especially role of these three phase induction motors in cable industry is indispensible. This cable industry (Ravicab cables private limited, Bidadi) is using various three phase induction motors (1hp, 3hp, 5hp, 15hp, and 150hp) for various operations. In this paper, only 3hp three phase motor is taken into account for analyzing. This 3hp motor (i.e. capstan motor) is used for cable pulling purpose after the cable has been manufactured. This 3hp motor is needed to be operated at various speeds while pulling the various diameter cables, such as 2.30 mm, 4.75mm, 7.25 mm, and 10.35 mm. Therefore in this paper, modeling of the 3hp three phase induction motor is performed to run this motor at variable speed with respect to various diameters of the cable. In this modeling, a 3hp three phase induction motor is accurately modeled with respect to the requirements of cable pulling process.
This paper proposes an intelligent model of a solar panel tracking system for improving its efficiency in power generation. Maximum efficiency depends on maximum solar radiation on the panel. The solar panel is attached to a stepper motor for moving the panel direction according to the sun’s radiation. The sun radiation intensity is measured by a light detector circuit. An Intelligent controller is developed using fuzzy logic controller to send command signal to the motor for movement of solar panel direction. The system is fully automatic and adopts changes in atmosphere.
In this paper, a multi input Cuk converter is designed and simulated using a fuzzy logic controller. Multi input Cuk converter have their own applications in DC grid system that can be used to integrate multiple sources together and then create a common DC bus bar. Conventionally, a separate DC-DC converter is required to produce output of each source. This creates a complex network and is also not a cost effective solution. Therefore, a combined converter model is created and simulated in MATLAB using intelligent fuzzy logic controller approach. This helps in minimization of ripple content, power quality improvement, flexibility, and it is efficient in regulation of DC bus voltage. A single stage Cuk converter is designed first using Pulse Width Modulation (PWM) as the control of duty cycle and later using PI controller. The waveform response in both conditions were noted down and analysis were done. Then a fuzzy logic controller for single source is implemented with intelligent algorithm. Improvement in signal quality was noted down with the use of fuzzy logic and later it was incorporated in creating a multi input Cuk converter. Only DC input integration of multiple energy either renewable or non-renewable sources is discussed in this paper.
In the present scenario, the optimization of engine parameters is very much necessary for the smooth operation of automotive engines. This paper presents the three Optimal Linear Quadratic Control approaches for the state space engine model for the optimization of manifold pressure and engine speed state variables. The proposed three optimal controllers are Bryson, Bouderal, and Multistage Linear Quadratic Regulator (LQR) control techniques. The proposed controllers are applied and compared for the engine state space model using MATLAB/Simulink platform.
