Solar Powered DC Motor Research Articles

Controlling and monitoring of a solar-powered DC motor using a wireless sensor network

Due to the economic challenges of soaring oil costs and natural concerns, India faces an enormous growth in renewable energy resources. The solar photovoltaic technology, as a clean and green energy source, plays a critical role in addressing any country’s power shortage. Before mounting a PV system at any location, modeling, simulation, and analysis of solar photovoltaic (PV) generators is a critical phase that helps to understand the behavior and characteristics of the system in real-world climatic conditions. A solar panel, buck–boost converter, separately excited (S.E) DC motor, and controllers, such as Proportional Integral Derivative (PID), Fuzzy, fuzzy based on PID (FPID), and Artificial Neural Network (ANN) controllers are all included in the proposed system. Because compared to other controllers, the ANN controller produces better results. It was designed to deal with system non-linearity and system-related ambiguity. Wireless sensor network (WSN) and Data Dashboard for LabVIEW are used to monitor and control the system.

Simulation of Solar Powered DC Motor Control Using H-Bridge Converter

In this paper, the solar powered DC motor control system is considered and simulations are performed using various controllers and H-Bridge Buck Boost converter. The parameters varied are: irradiance and temperature. When input parameters are changed abruptly, such as sudden rise or fall in temperature or irradiance, DC motor performance is observed. These parameters are changed separately, keeping other parameter constant. The main aim is to obtain smooth DC motor control and operation under all input conditions. The simulations results are executed and compared for different controllers using MATLAB/SIMULINK environment.

Solar powered UAV model on MATLAB/Simulink using incremental conductance MPPT technique

Purpose The aviation industry has started environment friendly and also conventional energy independent alternative energy dependent designs to reduce negative impacts on the nature and to maintain its future activities in a clear, renewable and sustainable way. One possible solution proposed is solar energy. Solar-powered aerial vehicles are seen as key solutions to reduce global warming effects. This study aims to simulate a mathematical model of a solar powered DC motor of an UAV on MATLAB/Simulink environment. Design/methodology/approach Maximum power point tracking (MPPT) is a critical term in photovoltaic (PV) array systems to provide the maximum power output to the related systems under certain conditions. In this paper, one of the popular MPPT techniques, “Incremental Conductance”, is simulated with solar-powered DC motor for an UAV design on MATLAB/Simulink. Findings The cascade structure (PV cell, MPPT, buck converter and DC motor models) is simulated and tested under various irradiance values, and results are compared to the DC motor technical data. As a result of that, mathematical model simulation results are overlapped with motor technical reference values in spite of irradiance changes. Practical implications It is suggested to be used in real time applications for future developments. Originality/value Different from other solar-powered DC motor literature works, a solar-powered DC motor mathematical model of an UAV is designed and simulated on MATLAB/Simulink environment. To adjust the maximum power output at the solar cell, incremental conductance MPPT technique is preferred and a buck converter structure is connected between MPPT and DC motor mathematical model. It is suggested to be used in solar-powered UAV designs for future developments.

Design and Implementation of Arduino Based Control of Solar Powered DC Motor Pump Load

Design and Implementation of Arduino Based Control of Solar Powered DC Motor Pump Load

Analysis of conducted EMI with standalone solar powered dc motor

The green environment warrants not only researchers, but rather all citizens, to adopt renewable energy sources. One such option is the use of solar energy, especially the conversion of light energy from the sun to electric energy. The conversion of light to electricity with the help of photovoltaic cells (PV), though widely used, has its own problems, such as undesirable electromagnetic interference (EMI), both in radiation and conduction modes. The present research aims to mitigate the unwanted EMI in the conduction mode (to limit the scope of the research). The mitigation of the conducted EMI on a DC/DC buck converter was studied with a standalone 4050 W PV plant. The conducted EMI was measured and the effectiveness of randomization on the spreading of the dominating frequency was examined by a simulation using PSpice software, and the same was validated in real-time measurements. All of the investigations were accomplished using an embedded LPC2129 ARM processor. The theoretical analysis and the experiment results of the conducted noise spectrum were compatible with each other, based on which a randomized duty ratio and a random pulse-position modulation (RPPM) with a fixed carrier frequency scheme were contemplated for adoption.