http://localhost:8080/xmlui/handle/123456789/429 Tue, 23 Jun 2026 06:17:11 GMT 2026-06-23T06:17:11Z http://localhost:8080/xmlui/handle/123456789/3466 Title: Real Time Simulation for Load Frequency Control of Multisource Microgrid System Using Grey Wolf Optimization Based Modifed Bias Coefcient Diagram Method (GWO‑MBCDM) Controller Authors: Kumar, Badal; Adhikari, Shuma; Datta, Subir; Sinha, Nidul Abstract: This paper proposes a modifed bias (MB) and coefcient diagram method (CDM) based PID controller as a frst attempt in controlling frequency of a self-reliant microgrid (MG) system under extreme unfavourable scenarios. Recently developed meta-heuristic algorithm, Grey Wolf Optimizer (GWO), is used for optimizing the parameters of the proposed controller GWO). Frequency deviation arises in the system due to active power mismatch between load power demand and actual power generation. In order to overcome this problem the CDM based gain values and frequency biased parameters of the MG system are used for determining the ranges of the control parameters for optimization with GWO which ensures that the search points generated by the search algorithm are stable ones. Simulation of the proposed GWO optimized MB-CDM controller-based MG system has been successfully implemented in real time simulation platform using digital simulator OPAL-RT. The performance of the system is obtained using proposed controller under diferent real-life scenarios and results are minutely analysed. The results are further compared with other relevant recent controllers including particle swarm optimization (PSO) MB-CDM controller to demonstrate that the proposed controller is superior to all other controllers. In addition, sensitivity analysis of the proposed controller for the MG system is studied under varying system parameters. The Simulink results illustrate that the proposed controller gives the best dynamic response amongst all other considered controllers in terms of peak transient deviation and settling time Wed, 21 Oct 2020 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3466 2020-10-21T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3457 Title: Real Time Simulation of Modified Bias Based Load Disturbance Rejection Controller for Frequency Regulation of Islanded Micro-Grid Authors: Kumar, Badal; Adhikari, Shuma; Datta, Subir; Sinha, Nidul Abstract: The paper presents a real time modelling of self-reliant isolated grid comprising both governable and ungovern able sources. The frequency of this system must be maintained to its desired value by reducing its deviation occurred when there is a mismatch between the load demand and the actual power generation. In order to achieve it, the actual power output of the micro-grid is required to regulate. Therefore, an attempt is made in this paper to design a modified bias (MB) with LDR (load disturbance rejection) based PID (proportional inte gral derivative) Controller and it can also be called droop based controller (DBC). Simulation of the micro-grid system with proposed MB-LDR based control scheme is successfully done in Real Time Simulation platform using the digital simulator of OPAL-RT OP4510. Simulation results of the system for different conditions are presented and analysis is given in details. Thereafter, comparative performance of the results obtained using proposed MB-LDR based controller with that of LDR and classical controllers is made. Results show that the proposed MB-LDR based controller gives better response as compare to other two methods in terms of peak transient deviation, settling time and number of oscillations Fri, 30 Aug 2019 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3457 2019-08-30T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2913 Title: SD Card Based File System for CNC Machine using TMS320F2837xD Processor Authors: Dhikale, D. D.; Morade, S. S. Abstract: The main objective of this paper is to implement SD card based file handling system for CNC machine.CNC machine uses numerical data to control a machine. The system uses dual core DSP processor with c28xx core. Implementation of file system for CNC machine reduces the file processing and tool processing time to a great extent. The dual core DSP processor is interface with the SD card for large storage of data in CNC machine. The TMS320F2837xD control card has SD card slot so file system can be designed for CNC system. The algorithm for file handling for CNC machine is implemented using Texas instrument Code Composer Studio IDE environment. The another important task of this experiment is to convert the .CNC file into the machine acceptable format for the tool processing and file processing in the CNC machine. Mon, 01 Jul 2019 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2913 2019-07-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2912 Title: Industrial Parameters Monitoring System based on Embedded Web Server Authors: Chandwadkar, D. M.; Chavan, S. K.; Ugale, S. P. Abstract: The main aim of this paper is to deal with remote monitoring of various physical parameters of an electrical device via web-based application. This system facilitate user to monitor the real-time data from across the globe as the whole data is made available through pre-designed website. Real-time monitoring of electrical parameters is needed beside the high performance and precision of measurements with the development of modern industry towards networking. The main objectives of paper are to access the real-time data on global scale, to reduce the cost of visit & maintenance and finally to improve quality as well as throughput of production. All the physical parameters of an electronic device such as temperature, current, gas flow, viscosity etc. will be monitor independently. Microcontroller is used for the interconnection of all sensors and all collected information will be send to the web page using GSM facility. This real-time monitoring system definitely offers user for hassle free data accession. For high precision, repeatability of real-time data monitoring system has been done. This concept is helpful in industrial sectors for real time monitoring Mon, 01 Jul 2019 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2912 2019-07-01T00:00:00Z