Bidyadhar Rout

Veer Surendra Sai University of Technology

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Akshaya Kumar Patra

Integrated Test Range

Anuja Nanda

Siksha O Anusandhan University

Alok Kumar Mishra

Integrated Test Range

Dillip Kumar Subudhi

Siksha O Anusandhan University

Girija Sankar Panigrahi

Siksha O Anusandhan University

Bibhuti Bhusan Pati

Veer Surendra Sai University of Technology

Manoj Kumar Debnath

Siksha O Anusandhan University

Narayan Nahak

Siksha O Anusandhan University

Sanjeeb Kumar Kar

Siksha O Anusandhan University

Sidhartha Panda

Siksha O Anusandhan University

Cooperative Institutions

Siksha O Anusandhan University

Veer Surendra Sai University of Technology

Integrated Test Range

Indian Institute of Technology Kharagpur

National Institute of Technology Rourkela

Centurion University of Technology and Management

Indian Institute of Technology Bhubaneswar

National Institute of Science and Technology

National Institute of Technology Jamshedpur

Indira Gandhi Institute of Technology

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An Automatic Artificial Pancreas (AP) based on MO-PID Control Algorithm

Akshaya Kumar Patra Bidyadhar Rout Ramachandra Agrawal Alok Kumar Mishra Girija Sankar Panigrahi

The goal of the article is the design of a Mayfly Optimization-PID Controller (MO-PIDC) to inject an ideal dose of insulin via AP for control of BG level in the Type-I Diabetes Mellitus (TIDM) patients. This classical controller with optimization technique is seen to improve performance and to make the system robust. Robustness is to be improved by considering control parameter as a function of error. This is utilized in the proposed novel control technique. The nonlinearities present in TIDM patient framework cause BG control issues. The use of AP based Mayfly optimization algorithm efficiently to maintain BG level in the range of normo-glycemia. This proposed patient model with MO-PIDC is analyzed for improved accuracy and stability, enhanced robustness, noise suppression, and better ability to handle uncertainties.

Robustness

Artificial Pancreas

Optimization algorithm

10.1109/odicon54453.2022.10009980

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Citations (6)

Harmonic Analysis of Fuzzy Controller Based Permanent Magnet Synchronous Generator with Reduced Switch Multilevel Inverter

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2021)

Sayaprasad Mohapatra Aksaya Kumar Patra Debswarup Rath Sajeeb Kumar Kar Dillip Kumar Subudhi

This research article emphasizes on modeling, simulation & Total Harmonic Distortion (THD) analysis of wind energy driven Permanent Magnet Synchronous Generator (PMSG) connected to three phase series RLC load and grid. In Wind energy Conversion System (WECS) the kinetic energy from wind is converted into electrical energy by the help of generators and wind turbines. Basically, wind turbines are broadly classified into two types. Those are fixed speed wind turbines and variable speed wind turbines. On comparing both the kinds of wind turbines variable speed wind turbine gains the upper hand as it produces more energy and aids in reducing power fluctuations while improving reactive power supply. A variable speed wind turbine generally employs Double Fed Induction Generator (DFIG) or PMSG as the generating units. In this paper the PMSG along with some power electronics based converter and multilevel inverter devices have used to connect to the grid & three phase load and output parameters have been analyzed at variable switching instants and also studied the harmonic distortions.

Power optimizer

10.1109/apsit52773.2021.9641157

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An Automatic Insulin Infusion System Based on the Genetic Algorithm FOPID Control

Lecture notes in networks and systems (2020)

Akshaya Kumar Patra Anuja Nanda Bidyadhar Rout Dillip Kumar Subudhi Sanjeeb Kumar Kar

SIGNAL (programming language)

10.1007/978-981-15-8218-9_30

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Citations (4)

A Part of AI-Actuated Systems in Developing Analysis and Experiments in Various Sectors and Producing Innovative Products

Bidyadhar Rout Sukanta Chandra Swain Padmalaya Sarangi Rajani Agrawalla Sisir Ranjan Dash

10.1109/icacite60783.2024.10616560

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Adaptive Control with Disturbance Modelling for BG Regulation in TIDM Patient

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023)

Akshaya Kumar Patra Girija Sankar Panigrahi Vijaya Laxmi Patra Alok Kumar Mishra Narayan Nahak

In order to control blood glucose levels in TIDM patients, this paper explains the creation of a Teaching Learning Based Optimization-PID (TLBO-PID) controller that delivers appropriate insulin doses through an artificial pancreas (AP). Using the Teaching Learning Based Optimization (TLBO), that adjusts the controller gains to improve the BG control of the proposed patient model. This classic controller with TLBO is intended to increase the performance and toughness of patient's problems with glycemic management which are resulting from nonlinearities in the patient model. The nonlinearity of patient models can be effectively handled by using an AP-based TLBO, which also helps to keep blood sugar levels in the glycemic range (70–120 mg/dL). The accuracy, robustness, stability, noise reduction, and enhanced capacity to handle uncertainties are examined while using the proposed patient model with TLBO-PID. A comparison of data from different control strategies indicates the reasons for the suggested approach's superior control performance.

Robustness

Blood sugar

Artificial Pancreas

10.1109/apsit58554.2023.10201660

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Citations (0)

A comparative Studies on different islanding detection methods for distributed generation systems

Energy Sources Part A Recovery Utilization and Environmental Effects (2023)

Ashutosh Mohanty Bidyadhar Rout Raseswari Pradhan

Renewable-based distributed generation (DG) has a vital contribution to the evolution of the microgrid model. It is usually operated in both grid-connected mode and island mode. Detection of the islanding event (IE) is required to avail benefits like safety and protection of the connecting devices and personnel or crewmen. The improper islanding detection may lead to power quality degradation (PQD), out-of-phase reclosing, and grid protection interference. The IE can be properly detected by using an islanding detection scheme (IDS). IDS regularly monitors the EPS state, and if there is a problem with the grid's healthiness, the TS is delivered. Usually, when load demand is the same as DG generation, or load demand is more than DG generation capacity, it is an IE. To mitigate these issues concerning islanding detection, numerous researchers have suggested various strategies that are widely categorized as Passive, Active, Hybrid, Communication-based, Signal Processing-based, and Intelligent-technique-based. Here, a review of several proposed methods is discussed with their performance indices like control variables, merits, demerits, non-detection zone (NDZ), Power quality issues, speed of detection, and computational burden. Conventional passive IDS lies within 80% accuracy that is very poor, Active IDS and hybrid IDS are intermediate range, and communication-based IDS (CIDS) is known to be a good one, but signal processing-based IDS and intelligent-based IDS have the highest accuracy in the range of 95% to 100%. Researchers and scientists can use this review to assist them in choosing the best approach for future applications.

Islanding

Microgrid

10.1080/15567036.2023.2186544

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Citations (10)

Modeling, Analysis, and Control of Vehicle Suspension System Based on Linear Quadratic Regulator

Lecture notes in networks and systems (2020)

Akshaya Kumar Patra Alok Kumar Mishra Anuja Nanda Narendra Kumar Jena Bidyadhar Rout

Robustness

Suspension

10.1007/978-981-15-2774-6_32

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