Journal of Control System and Control Instrumentation

Self-Charging of Electric Vehicle: Electrify Your Ride

2023-11-01T14:50:38+0530

Self-charging electric vehicles (EVs) indeed have the potential to address several critical challenges associated with EV adoption, including range anxiety and the need for large batteries. Here's how dynamic charging works and its potential benefits and analysis provides a comprehensive overview of the proposed solution. The proposed system seems to be an innovative approach that combines batteries and a dynamo to enhance the energy storage and management capabilities of an electric vehicle. The control strategy plays a crucial role in optimizing the system's performance and increasing the vehicle's autonomy. The detailed description and analysis provide a comprehensive overview of the proposed solution. The paper presents the aspects, which provides a comprehensive understanding of how the control strategy contributes to the overall effectiveness of the proposed system in managing energy storage and enhancing the autonomy of the electric vehicle. The planned concept of using two 24-volt batteries and dynamo charging has the potential to reduce both initial battery costs and ongoing charging costs. However, careful planning, engineering, and consideration of factors such as battery capacity, dynamo efficiency, and user experience are essential to make this concept practical and attractive to EV consumers. Additionally, regulatory compliance and market acceptance should be closely monitored.

Fuzzy Controller for Rainfall Prediction

2023-11-29T11:05:40+0530

This paper uses fuzzy logic principles applied in Matlab to present the occurrence of rainfall. The rain gauge station on the Vjosa River in Albania is where the data are collected. Initially, the input variables in this application were divided into five linguistic ranges as high, medium, low, very low, very high. It makes use of the triangular membership functions. The primary goal of the author in this particular work is to lessen drought and flood conditions. The author's primary concern is using temperature, speed, and wind variation to predict when it will rain. The study illustrates an STLF method based on fuzzy logic. Mamdani's implication is used to prepare the fuzzy rule foundation. Fuzzy Tool Box and Matlab Simulink are the programs used for this by utilizing triangles.

Low Cost Brix Measurement System for Grapes using Arduino Uno

2023-12-02T10:10:33+0530

When grapes are at their peak sugar content for harvest, brix measurements play a main role in determining. Refractometers are a common instrument used to measure the content of sugar in the solution. Its main drawback is that it requires liquid or a solution of grapes or fruits and is a manual method. So, to avoid the distraction of grapes or fruits, this low-cost Arduino-based brix measurement system is designed and developed. The system contains a capacitive sensing element, signal conditioning, and signal processing. This paper exemplifies a brix computing system that uses an Arduino Uno as the controller and a capacitive sensor element to continuously detect the capacitance, dielectric constant, and brix level of grape which is displayed on a serial monitor of Arduino software. The time constant of the capacitor is a key component of the Arduino capacitance meter. The charge and discharge cycles of the capacitor take longer when the capacitance is higher. After signal conditioning, charging and discharging voltages of the capacitive sensor are given to an Arduino Uno. It has a percentage accuracy of 99%. This developed system is cost-efficient and handy.

Fuzzy Logic Controller for Temperature Control

2023-12-02T10:57:04+0530

This paper describes the use of MATLAB in the design and implementation of a temperature control system for agricultural applications based on fuzzy logic. The system uses two inputs—the user-specified target temperature and the temperature sensed from the agricultural field—to produce two outputs for positive and negative pulse width modulation (P-PWM-C and N-PWM-C). With membership functions defined for the input and output ranges, the fuzzy logic controller is designed using the MATLAB Fuzzy Logic Designer. Ten guidelines are created to regulate the temperature control procedure. The relationship between the inputs and outputs is shown in the 3D surface viewer, which sheds light on the fuzzy logic control approach.

Greenhouse Monitoring and Controlling Using LabVIEW Automation

2023-12-06T09:46:31+0530

Traditional greenhouses need to regulate or monitor and control the climactic condition changes to grow healthy plants and other crops. A greenhouse control system should ideally include data collecting, transmission, and remote monitoring. This paper design a system of a model that controls and monitor the temperature, light intensity and soil moisture level right and left side of the soil by sensing the values from sensors and controlling the temperature, and moisture of the soil using one fan, water pumps accordingly. Monitoring and controlling a greenhouse environment collects data from sensors that affect the pace of growth of healthy plants. The system has several physical characteristics to measure, including temperature, light intensity, and moisture. These parameters were sensed using sensors and current/live data was supplied to a computer software Lab view application using an NI DAQ card. Using these measured parameters, save it in a notepad file format and then use Excel to analyze the data for any system or greenhouse modifications or corrections. Recently, the market has seen significant advancements in the automation business. Automation is involved in every sector such as in smart homes, smart industry, and smart agriculture. Greenhouses are a significant means for farmers in rural and urban regions to benefit from automatic monitoring and management of greenhouse environment parameters, which will replace direct human monitoring.