Proposed Control Module Research Articles

Віддалене керування живленням пристроїв Інтернету речей

This paper considers the practical aspects of designing a programmable power supply unit with remote control based on Quick Charge technology. To build a programmable power supply unit with remote control and mobile phones with power sources/chargers using Quick Charge 2.0, 3.0 technology. This work presents a scheme and software for the control module of a programmable power supply unit based on Quick Charge technology, which works in accordance with the developed algorithms. The conducted modeling and experimental studies confirmed the possibility of remotely changing the output voltage of the adapter with the help of the proposed control module and the corresponding software. Remote power management of the IoT device can be performed using USB ports, Bluetooth wireless interfaces, Wi-Fi.

Industry 4.0 technologies incorporated with Delta PLC based Smart Home Automation for Rural Development

The Programmable Logic Controller (PLC) is commonly used for electromechanical process automation. A home automation system is being developed using PLC. The proposed control module will consist of Model Functional Blocks device emulation. Upgrading human standards of living is the most important source of inspiration for the continuation of technological advances. Technology innovation directly and indirectly offers and enhances the protection and comfort of human beings. The advancement of technology for this reason directly affects the quality of living through the design of smart home systems. Smart home systems can be classified as local and remote in two ways. In this research, a smart home automation system design was carried out by using Delta PLC (Programmable Logic Controller). The control module provides fault detection, tolerance and switching on or off in sensitive areas for multiple components. Combining the PLC model with other devices, such as GSM is also possible. By supplying voice control and protection products, such a form of application would be highly helpful for the elderly and disabled persons. World is developing increasingly across the Internet of Things (IoT). In this paper, we are designing a system that will track home appliances automatically and generate email or messanger notifications or make smart decisions using the IoT model. The key contribution of this paper is that it summarizes the use of IoT to track and regulate the market in industries with artificial intelligence. By optimizing the entire hardware assembly and software algorithms, the Delta PLC device is adjustable to satisfy demands, incorporating distinct home appliances in a short time. The PLC is simple to understand, and by using a single model, the system offers several solutions. The PLC will become the epic center for many new applications, as it is new but more powerful than previous systems.

Intelligent Multirobot Navigation and Arrival-Time Control Using a Scalable PSO-Optimized Hierarchical Controller.

We present a hierarchical fuzzy logic system for precision coordination of multiple mobile agents such that they achieve simultaneous arrival at their destination positions in a cluttered urban environment. We assume that each agent is equipped with a 2D scanning Lidar to make movement decisions based on local distance and bearing information. Two solution approaches are considered and compared. Both of them are structured around a hierarchical arrangement of control modules to enable synchronization of the agents' arrival times while avoiding collision with obstacles. The proposed control module controls both moving speeds and directions of the robots to achieve the simultaneous target-reaching task. The control system consists of two levels: the lower-level individual navigation control for obstacle avoidance and the higher-level coordination control to ensure the same time of arrival for all robots at their target. The first approach is based on cascading fuzzy logic controllers, and the second approach considers the use of a Long Short-Term Memory recurrent neural network module alongside fuzzy logic controllers. The parameters of all the controllers are optimized using the particle swarm optimization algorithm. To increase the scalability of the proposed control modules, an interpolation method is introduced to determine the velocity scaling factors and the searching directions of the robots. A physics-based simulator, Webots, is used as a training and testing environment for the two learning models to facilitate the deployment of codes to hardware, which will be conducted in the next phase of our research.

Traffic Light Controller Module Based on Particle Swarm Optimization (PSO)

A traffic light control module base on PSO algorithm has been presented to find the optimal set of adjacent streets that are the candidate to take the green period time providing the best vehicles flow. In our previous work a visual traffic light monitoring module has been presented. This module able to determine the traffic conditions (crowded, normal and empty). The proposed control module should be able to integrate with the previous monitoring module to develop a new complete intelligent traffic light system. Promising results have been obtained via applying the proposed traffic light controller module. The controller module shows its ability to select a set of streets. The green period time will be given to these selected streets to achieve the optimal vehicle flow through the traffic light’s intersections. The results show that the proposed control module improving the flow ratio about 85% to 96% with a different number of traffic lights.

Heuristic Optimization of Supplementary Controller for VSC-HVDC/AC Interconnected Grids Considering PLL

This paper presents a new approach to enhance the dynamic responses of AGC in power systems by means of heuristic optimization of VSC-HVDC supplementary controllers. The upcoming power electronics-based VSC-HVDC transmission systems offer new features that would be advantageous for improving the frequency control and thus for enhancing the stability of the transmission grids. In this paper, the parameters of the proposed control modulation are tuned using Genetic Algorithm and Simulated Annealing methods. The performance of the proposed intelligent based tuning approach is assessed through MATLAB simulations for an AC/DC interconnected system. For the sake of detailed analysis, the effects of PLL and frequency measurements are also included in the VSC-HVDC system modeling. Furthermore, to show merits of the proposed strategy, a comparison between AC and DC transmissions is presented.

A New Integral Pulse Module for the Series-Resonant Converter

A method to apply the principle of integral pulse modulation to the series-resonant converter is proposed, analyzed, and tested. The proposed control module facilitates combining the favorable properties of the series-resonant power converter (reliability, low weight, high efficiency) with those of the pulse integral control system (accuracy, fast response).