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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE) Journal of Applied Pharmaceutical Research
Kar, Sanjeeb Kumar
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Medicine & Pharmacology

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Application of EV aggregators and SMES for frequency deviation control using fractional fuzzy controller Tripathy, Sabita; Debnath, Manoj Kumar; Kar, Sanjeeb Kumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2457-2463

Abstract

Secondary controllers are implemented in the alternator control loop to take care of the swinging of frequency initiated due to inequality of load and demand. A fractional fuzzy-PID controller (FFPID) is projected in this work for frequency deviation control in unified system including EV aggregators and superconducting magnetic energy storage (SMES). EVs and SMES are given primacy because of their ecofriendly nature. Proper adjustment of gains of FFPID is also required to extract the best performance of the secondary controllers. Here a recent tuning process named as artificial rabbits optimization (ARO) is applied for proper tuning of projected controller. The implemented dual area power system includes time varying delay-based EV aggregators, SMES, and thermal generating units. The ARO technique is applied in the model to tune the controller constraints with abrupt increment of demand in one of the control areas. A time-based function is treated as fitness function to evaluate the system performance. The dominance property of the projected FFPID controller over conventional PID and FPID controller in terms of different response specifications like maximum positive deviation (overshoot), settling time and minimum negative deviation (undershoot). The robust nature of the projected controller is also confirmed by multiple analysis like random load deviations and system constraint alteration.
Cases of PD-CFPID selector for frequency adjustment of integrated power grid Sahoo, Ananta Kumar; Nayak, Smrutiranjan; Sahoo, Ashwin Kumar; Dash, Subhransu Sekhar; Kar, Sanjeeb Kumar
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp428-433

Abstract

In current article an improved salp swarm algorithm (SSA) has been suggested. Likewise, the adjustable scaling-component is locked in to manage salp’s situation in time of the hunt system to limit arbitrary development salps. The upgraded salp swarm method combines random objection-based learning, multiple management, and simulated hardening in swarm brilliant-based metaheuristic salp swarm method, which rises the exploration and exploitation of the primary salp swarm method. To exhibit viability of the improved SSA, a bunch of multichannel test capabilities are locked in. A partially decentralized combined fuzzy proportional integral derivative (PD-CFPID) regulator is planned for integrated grid. A partially decentralized robust control plan is introduced to deal with a class of multi-inputs multi outputs (MIMO) non-square, linear framework different systems. Partially decentralized command is a control composition that lies between a completely decentralized structure and a wholly centralized one, and has the primacy of achieving comparable performance as an entirely centralized regulator but with simpler shape. The proposed flexible partially decoupled command scheme works in a straightforward and systematic way. Simulations show that the proposed partially decentralized control performs well for the nonlinear system, nearly equivalent to the multivariable control, and they achieve better performance indexes. Simulation outcomes appear that the stated method is simple and can reach better performance. The results of the PD-CFPID regulator are compare among CFPID and PID as many circumstances of the presented control outlook.
A comprehensive review of peptic ulcer disease: epidemiology, experimental models, and mechanistic insights Singh, Laliteswar Pratap; Chatterjee, Sandip; Kar, Sanjeeb Kumar
Journal of Applied Pharmaceutical Research Vol. 13 No. 2 (2025)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69857/joapr.v13i2.953

Abstract

Background: Peptic ulcer disease (PUD) is one of the most common gastrointestinal disorders, resulting from an imbalance between aggressive and protective factors, leading to mucosal erosion. Various factors influence its pathogenesis, including Helicobacter pylori infection, NSAID use, and oxidative stress. Objective: We review PUD epidemiology, varying experimental models, and mechanistic insights into PUD and promising therapeutics. Methodology: We systematically reviewed previous literature on PUD, including epidemiological trends, commonly used in vivo, and molecular mechanisms. Results and discussion: The global prevalence of peptic ulcer disease (PUD) follows an epidemiological pattern influenced by geography, lifestyle, and genetic factors. Experimental models using ethanol, NSAIDs, or Helicobacter pylori induction provide valuable insights into disease progression and pathophysiology. Emerging trends:  Recent research in peptic ulcer disease focuses on molecular mechanisms, gut microbiome interactions, personalized therapies, and novel pharmacological agents. Molecular studies explore genetic and epigenetic factors influencing ulcer formation, while microbiome research examines the role of gut bacteria beyond H. pylori. Personalized treatment approaches use genetic profiling and biomarkers to enhance efficacy and reduce toxicity. Additionally, emerging pharmacological agents aim to improve acid suppression, promote mucosal healing, and develop more effective H. pylori eradication strategies. Conclusion: A deeper understanding of PUD pathophysiology through epidemiological studies and experimental models can aid in developing novel, targeted therapies. Future research should focus on alternative treatments, including phytochemicals and probiotics, to enhance ulcer prevention and management.
Adaptive tilt acceleration derivative filter control based artificial pancreas for robust glucose regulation in type-I diabetes mellitus patient Dutta, Smitta Ranjan; Patra, Akshaya Kumar; Mishra, Alok Kumar; Agrawal, Ramachandra; Subudhi, Dillip Kumar; Satapathy, Lalit Mohan; Kar, Sanjeeb Kumar
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i6.pp5297-5313

Abstract

This study proposes an Aquila optimization–based tilt acceleration derivative filter (AO-TADF) controller for robust regulation of blood glucose (BG) levels in patients with type-I diabetes mellitus (TIDM) using an artificial pancreas (AP). The primary objective is to develop a controller that ensures normo-glycemia (70–120 mg/dl) while enhancing stability, accuracy, and robustness under physiological uncertainties and external disturbances. The AO algorithm tunes the control gains of the TADF controller to minimize the integral time absolute error (ITAE), ensuring optimal insulin infusion in real time. The AO-TADF controller introduces a filtered structure to improve the dynamic response and noise rejection capability, effectively handling the nonlinear nature of glucose-insulin dynamics. Simulation results demonstrate that the proposed approach achieves a faster settling time (230 minutes), lower peak overshoot (3.9 mg/dl), and reduced noise (1%) compared to conventional proportional integral derivative (PID), fuzzy, sliding mode (SM), linear quadratic gaussian (LQG), and H∞ controllers. The closed-loop system achieves a stable glucose level of 81 mg/dl under varying meal and exercise disturbances, validating the superior performance and robustness of the AO-TADF approach.
Co-Authors Agrawal, Ramachandra Ashwin Kumar Sahoo, Ashwin Kumar Chatterjee, Sandip Dash, Subhransu Sekhar Debnath, Manoj Kumar Dutta, Smitta Ranjan Mishra, Alok Kumar Nayak, Smrutiranjan Patra, Akshaya Kumar Sahoo, Ananta Kumar Satapathy, Lalit Mohan Singh, Laliteswar Pratap Subudhi, Dillip Kumar Tripathy, Sabita