https://shodhratna.thapar.edu:8443/jspui/handle/123456789/52 Research Output of Electrical & Instrumentation Engineering Sun, 10 Aug 2025 22:00:20 GMT 2025-08-10T22:00:20Z https://shodhratna.thapar.edu:8443/jspui/handle/tiet/224 Title: Effective Energy Management Scheme by IMPC Authors: Ghosh, Smarajit Abstract: The primary purpose of the Energy Management Scheme (EMS) is to monitor the energy fluctuations present in the load profile. In this paper, the improved model predictive controller is adopted for the EMS in the power system. Emperor Penguin Optimization (EPO) algorithm optimized Artificial Neural Network (ANN) with Model Predictive Control (MPC) scheme for accurate prediction of load and power forecasting at the time of pre-optimizing EMS is presented. For the power generation, Renewable Energy Sources (RES) such as photo voltaic (PV) and wind turbine (WT) are utilized along with that the fuel cell is also presented in case of failure by the RES. Such a setup is connected with the grid and applies to the household appliances. In improved model predictive control (IMPC), the set of constraints for the power flow in the system is optimized by the ANN, which is trained by EPO. Such a tuning based prediction model is presented in the IMPC technique. The proposed work is implemented in the MATLAB/Simulink platform. The energy management capability of the proposed system is analyzed for different atmospheric conditions. The total system cost, life cycle cost and annualized cost for IMPC are 48%, 45% and 15%, respectively. From the performance analysis, the cost obtained by the proposed method is very low compared to that obtained by the existing techniques. © 2023, Tech Science Press. All rights reserved. Sun, 01 Jan 2023 00:00:00 GMT https://shodhratna.thapar.edu:8443/jspui/handle/tiet/224 2023-01-01T00:00:00Z https://shodhratna.thapar.edu:8443/jspui/handle/tiet/220 Title: Method for Fault Diagnosis and Speed Control of PMSM Authors: Ghosh, Smarajit Abstract: In the field of fault tolerance estimation, the increasing attention in electrical motors is the fault detection and diagnosis. The tasks performed by these machines are progressively complex and the enhancements are likewise looked for in the field of fault diagnosis. It has now turned out to be essential to diagnose faults at their very inception; as unscheduled machine downtime can upset deadlines and cause heavy financial burden. In this paper, fault diagnosis and speed control of permanent magnet synchronous motor (PMSM) is proposed. Elman Neural Network (ENN) is used to diagnose the fault of permanent magnet synchronous motor. Both the fault location and fault severity are considered. In this, eccentricity fault may occur in the motor. To control the speed of the permanent magnet synchronous motor, Dolphin Swarm Optimization (DSO) algorithm is used. The proposed work is simulated by using MATLAB in terms of amplitude, speed and torque. The comparison graph of speed vs. torque obtained by the proposed method gives better result compared to the other existing techniques. The proposed work is also compared with Particle Swarm Optimization (PSO) and Elephant Herding Optimization (EHO) algorithm. The proposed usage of Elman Neural Network to detect the fault and the usage of Dolphin Swarm Optimization algorithm to control the speed of the permanent magnet synchronous motor gives better outcome. © 2023 CRL Publishing. All rights reserved. Sun, 01 Jan 2023 00:00:00 GMT https://shodhratna.thapar.edu:8443/jspui/handle/tiet/220 2023-01-01T00:00:00Z https://shodhratna.thapar.edu:8443/jspui/handle/tiet/204 Title: A Novel Method for Modeling and Co-Simulation of FPGA Package and Board Authors: Saini, Lakshya; Agarwal, Ravinder; Singh, Surender Abstract: Field Programmable Gate Array (FPGA) circuits have become an integral part of recent embedded process control designs. However, printed circuit board (PCB) layout design has become increasingly challenging due to the various propagation delays associated with FPGA pin count. To compensate for these delays on the PCB side, high-speed PCB interconnect lines are left unmatched, making sign-off of the board a major challenge in the absence of an FPGA model. Unfortunately, FPGA vendors do not provide the behavior model of FPGA; instead, they give only the pin delay report in a comma-separated file format. This file format is not considered by most simulation tools during analysis and simulation, thus limiting signal data rates to 10 Gbps for board-level simulation. Timing violations arise in simulation results if the duration of these signals differs at the board level at these high data rates, and as a result, the board must be redrawn. This paper presents a novel methodology for creating FPGA models that incorporate package delay in the absence of accurate package models on the board, known as package co-simulation. A close-to-actual parametric spice model of the package is generated, which is tested on a high-speed FPGA board. The simulation results of the proposed package model are compared to the absence of the package model results, indicating that the interconnect delay inside the package is considered during board package co-simulation.This methodology is a significant advancement in the field of FPGA circuit design, as it enables designers to create more accurate models of FPGA circuits and optimize PCB layout design while considering the propagation delays and package interconnect delays. It is expected that this methodology will be a valuable tool for future FPGA circuit designs, enabling designers to achieve a higher level of accuracy and efficiency. © 2024 IEEE. Mon, 01 Jan 2024 00:00:00 GMT https://shodhratna.thapar.edu:8443/jspui/handle/tiet/204 2024-01-01T00:00:00Z https://shodhratna.thapar.edu:8443/jspui/handle/tiet/200 Title: Development and Uncertainty Assessment of Low-Cost Portable EMG Acquisition Module Authors: Gupta, Rohit; Dhindsa, Inderjeet Singh; Agarwal, Ravinder Abstract: Surface electromyography is an important and widely used biomedical measurement technique. In biomedical engineering, obtaining high-quality EMG data and processing it in real-time is challenging. Their calibration repeatability and reliability, on the other hand, remain in discussion. Furthermore, the metrological elements of EMG systems have not yet been studied. In this research work, a portable EMG acquisition module has been developed, and the uncertainty of two EMG characteristics for four everyday hand motions has been investigated. Furthermore, an inter-instrument comparison has been carried out in a controlled environment. For multiple trials, the result has been estimated for 10 people. While designing the experiment, two major uncertainty factors, muscle selection/electrode placement and subjective analysis, have been taken into consideration. The developed system's inter-instrument performance has been found to be similar to that of the existing system (p-value > 0.05). The total uncertainty of the developed system has been found to be in the range of 0.0106–0.0196% (p-value > 0.05) for RMS and 0.1001–0.2084% (p-value > 0.05) for MF. The existing commercial system, in contrast, exhibited uncertainty in the range of 0.0171–0.0359% (p-value > 0.05) for RMS and 0.1010–0.2088% (p-value > 0.05) for MF. The developed EMG acquisition system's performance and cost-effectiveness validate its utility and acceptability for low-cost product development. © Metrology Society of India 2023. Mon, 01 Jan 2024 00:00:00 GMT https://shodhratna.thapar.edu:8443/jspui/handle/tiet/200 2024-01-01T00:00:00Z