JournalTOCs

Journal of Control & Instrumentation
Number of Followers: 19

Full-text available via subscription

Subscription journal
ISSN (Print) 2347-7237 - ISSN (Online) 2229-6972
Published by STM Journals

[67 journals]

Genetic Algorithm Application for Efficient Load Frequency Control
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: R Swetha
  Pages: 1 - 15
  Abstract: Load frequency control (LFC) is known to be significant control strategy for operation in electric power grid that entails balancing the electrical power provided by power plants with the electrical power consumed by the load. The primary purpose of LFC is to ensure that the power system functions within a specific frequency range and that the power provided by power plants matches the power used by the load. Power system network being sensitive to load changes or weather conditions there is requirement of robust solutions, also there are constraints like generator capacity, voltage limits of lines to be satisfied in power systems hence feasible solutions must be looked upon.
  Hence there is requirement of optimization. The evolutionary algorithm technique is utilized for optimization of parameters of Proportional-Integral-Derivative (PID) in this work. The MATLAB Simulink software is used for model design to & check the load frequency response. A comparative study between conventional method and heuristic method is done.
  PubDate: 2024-03-05
  DOI: 10.37591/joci.v14i3.7684
  Issue No: Vol. 14, No. 3 (2024)
Frozen Waves: Double T-Shape Patch Antenna Sensor for Precise Ice and Snow
Measurement
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: N. V. Maheswara Rao, P. Aruna Kumari
  Pages: 15 - 20
  Abstract: To design a Micro strip patch antenna with double T shaped slots at operating frequency 2.4GHz was developed for ice detection and measurement application. Detection was performed by monitoring the resonance frequency and amplitude of the transmission coefficient between the antenna sensor and a broadband receiver. The patch antenna sensor is also capable of distinguishing between ice and water, respectively when compared to the bare sensor. The antenna was also capable of measuring ice thickness. In comparison to other current antennas, the suggested antenna is designed to achieve improved return loss (S11), VSWR, and gain. The micro strip patch antenna proved helpful due to its planar design, controlled radiation arrangement, sufficient gain, and periodic
  characteristic in its reflection and transmission coefficient. Additionally, the large concentration of E-fields on the margins of this antenna design boosts detection sensitivity. For different parametric variations the antenna has been simulated in High Frequency Structure Simulator (HFSS) ANSYS software. The antenna was also capable of measuring ice thickness. In comparison to other current antennas, the suggested antenna is designed to achieve improved return loss (S11), VSWR, and gain. Because of its planar design, directed radiation pattern, enough gain, and resonant characteristic in its transmission and reflection coefficient, the micro strip patch antenna proved useful. Additionally, the large concentration of E-fields on the margins of this antenna design boosts detection
  sensitivity.
  PubDate: 2024-04-05
  DOI: 10.37591/joci.v14i3.7726
  Issue No: Vol. 14, No. 3 (2024)
Design and Implementation of IoT-enabled Movable Road Divider for
Vehicular Traffic Control
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Galipelly Susmitha, D. Shirisha
  Pages: 29 - 35
  Abstract: Road dividers are widely used to separate continuous and incoming traffic on road. This is useful for maintaining traffic flow. In this case, there are equal numbers of lanes for incoming and continuous traffic. However, in specific zones, such as industrial or shopping zones, traffic generally flows in one direction in the early morning or late at night. There is nothing or no use on the other side of the road. It results in lost time for the general population and crowded driving conditions. We intend to construct a clever roadway divider, possibly as far as a robotic street divider that moves the path to coordinate the surge in rush hour gridlock. This type of traffic framework component saves both time and fuel. Based on the traffic in the specific bearing, it may contain one more path. Manual dependency and manual traffic relation are reduced with the more intelligent application intended beneath. This proposal of smart traffic is worked in low, medium, and higher density in rush hour jam will be displayed in IOT server in graph diagram. IoT refers to the Internet of Things, which is where true digitalization enters the picture. Sensors and Arduino boards are used. Sensors are installed on the dividers to detect traffic movement, which is then transmitted to the web via the Wi-Fi module. A graph chart will be used by the IoT server to represent the traffic density. It offers a more comprehensive remedy for the traffic issue.
  PubDate: 2024-03-16
  Issue No: Vol. 14, No. 3 (2024)
Challenges and Solutions in Load Frequency Control: A Review of Controller
Design
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Saurabh Raj
  Pages: 36 - 50
  Abstract: The Load Frequency Control (LFC) of two area interconnected reheat thermal systems utilising a traditional proportional integral (PI) controller is described in this study. Boiler dynamics, a non-linear generating rate constraint, and a regulator dead band are all integrated into the system. When nonlinearities and boiler dynamics are considered, the traditional PID & P controllers do not produce sufficient control performance. To overcome this issue, a PI Controller has been added to the system. The goal of PI is to quickly return the frequency and tie line power to their nominal values while maintaining a very smooth transition. Time domain simulations are employed to examine the power system's performance. The system's performance is evaluated with a 1% step load perturbation in each component. Area controller error (ACE) minimises the error functions of the specified system and plays a significant role in linked power systems. The effectiveness of the presented WOA-PI controller, the load frequency management on the two-area power system, and the whale optimisation approach PI controller are all proposed in this study.
  PubDate: 2024-03-05
  DOI: 10.37591/joci.v14i3.7701
  Issue No: Vol. 14, No. 3 (2024)
Advances in Hand Gesture Recognition for Interactive Media Player Control:
A Review
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Chaudhary Gaurav, Vikash Maddheshiya, Ajaz Ahamad, Mukesh Ram
  Pages: 51 - 58
  Abstract: People want fast replies from complicated systems in today's fast-paced world, highlighting the significance of speedy interaction. As technology develops, issues with responsiveness and ease of use become more important. The study of human-computer interaction, which goes beyond conventional input devices like keyboards and mouse, is relevant in this situation. Much focus is paid to touch recognition, which is a common and natural method of interaction. The fusion of computer and touch communication creates new avenues for interaction. The study describes a low-cost solution that uses hand gesture detection to operate the VLC video player, increasing productivity and enabling users to conveniently operate their laptops and desktop computers from a distance. The frequently utilised VLC features that are triggered by preset touches are highlighted. Human-Computer Interaction (HCI) offers us a solution by studying the design and application of computer technology, which incorporates the use of human gestures, which comprise a space of motion expressed by the body, face, and/or hands.
  PubDate: 2024-03-16
  Issue No: Vol. 14, No. 3 (2024)
IoT Based SCADA for Electrical Measurements and Control
- Free pre-print version: Loading...
  Rate this result: What is this?
  
  Please help us test our new pre-print finding feature by giving the pre-print link a rating.
  A 5 star rating indicates the linked pre-print has the exact same content as the published article.
  
  Authors: Yogitha G. S., Nandan N G. S., Sanjay S. S., Supriya C. L., Shashikumar Hanagi
  Pages: 38 - 47
  Abstract: The suggested system's primary goal is to shield electrical equipment against malfunctions. The
  system consists of various sensors that deployed strategically on electrical equipment. The data of the
  equipment is collected and transmitted to cloud platform through Node MCU ESP8266. The data is
  simultaneously displayed using LCD display. The collected data is splitted into train and test data.
  Train the machine learning model by using different algorithms. The best algorithm is chosen by
  calculating their accuracy. In our case, decision tree algorithm is used. The real time data has been
  processed and analyzed. If real time data of current and vibration is greater than the recorded values,
  the relay tripped, and the equipment is prevented from damage. The main goal of this research is to
  create a machine failure prediction system utilizing machine learning techniques. The system's goal is
  to use machine-generated real-time data to detect abnormalities in important electrical parameters
  including over current, overvoltage, over temperature, over vibration, and other pertinent variables.
  The system may anticipate and prevent probable failures by using these aberrant values as reference
  points for identical devices.
  PubDate: 2024-01-09
  DOI: 10.37591/joci.v14i2.7564
  Issue No: Vol. 14, No. 2 (2024)

HOME > Browse the 73 Subjects covered by JournalTOCs
Subject	Total Journals