Analysis of control and computational strategies for green energy integration for sociotechnical ecological power infrastructure in Indian and African markets Prince Kumar, Kunal Kumar, Nabanita Adhikary, Eshet Lakew Tesfaye Scientific Reports, 2025 The rapid expansion of energy infrastructure in emerging economies, particularly in India and Africa, necessitates advanced control and computational strategies to ensure the seamless integration of green energy resources with conventional power systems. This study conducts a comprehensive analysis of state-of-the-art control mechanisms and optimization techniques for hybrid power networks, focusing on enhancing grid stability, frequency regulation, and resilience under dynamic loading and climatic variations. It explores advanced generation control strategies, including adaptive and predictive control frameworks, to mitigate the inherent intermittency of renewable energy sources. Furthermore, the paper examines multi-objective optimization methodologies for energy dispatch, frequency stabilization, and reliability enhancement in multi-entity power networks. By proposing a robust and computationally efficient framework for hybrid energy integration, this study contributes to the development of resilient, self-sustaining power systems crucial for ensuring long-term energy security, operational efficiency, and economic growth in rapidly developing regions.
A Novel Approach of Nonlinear Control in Photovoltaic/Wind/Energy Storage System With Event-Triggered DC Link Voltage Control in DC Microgrid Alankrita, Avadh Pati, Nabanita Adhikary International Journal of Circuit Theory and Applications, 2025 A hybrid DC microgrid (DC MG) integrates diverse renewable energy sources (RESs), each exhibiting unique nonlinear generation and power response characteristics. The intrinsic nonlinearity of these interacting RES necessitates the design of nonlinear control strategies to ensure stable operation and reliable power supply within the DC MG system. This paper presents a novel approach for nonlinear control of DC link voltage in hybrid DC MGs. Hybrid backstepping‐based controllers with event‐triggered (ET) control are proposed to enhance the energy quality produced by the DC MG during multiple disturbances while minimizing stress on converters by reducing the frequency of trigger signals. The PV controller is designed to maintain stability amid fluctuations in cell temperature and variations in solar irradiation. The wind controller is optimized for efficient wind power extraction, ensuring high performance in both static and dynamic conditions. The ESS is coordinated to mitigate constraints associated with RESs. Additionally, an ET controller is implemented for DC link voltage control, improving channel bandwidth efficiency and reducing strain on converters. This leads to longer interevent intervals compared with other nonlinear controllers, minimizing the need for frequent control adjustments. Lyapunov stability analysis is performed on the controllers to guarantee the asymptotic stability of the closed‐loop system. The proposed control schemes are then validated through numerical simulations in MATLAB/Simulink and further tested on an OPAL‐RT real‐time simulator. The results demonstrate that the proposed scheme improves coordination challenges among multiple RESs under uncertainties while also lowering computational overhead compared with traditional control methods.
Robust Fault Tolerant Control Based on Adaptive Backstepping Terminal Sliding Mode Shrestha Ghosh, Nabanita Adhikary 2025 IEEE North East India International Energy Conversion Conference and Exhibition Ne Iecce 2025, 2025 This paper proposes a modified control law for Fault tolerant control (FTC) based on adaptive backstepping terminal sliding mode control (ABTSMC) for trajectory tracking control of robotic manipulators. The design integrates the benefits of terminal slide mode control (TSMC) with backstepping control against the proposed time-dependent fault that represents the actuator fault. The controller performance is executed using MATLAB simulation in a 2 DOF revolute joint robotic manipulator with actuator fault and system perturbation. The simulation shows the controller can track a trajectory with an actuator fault. The detailed stability analysis using the Lyapunov function is also done.
Controlling power fluctuations in grid-connected hybrid PV system with energy management using hierarchical fuzzy logic N.A. Alankrita, Avadh Pati, Nabanita Adhikary International Journal of Power and Energy Conversion, 2025 This paper presents a novel approach for energy management in grid-connected hybrid PV system using hierarchical fuzzy logic control.The proposed method exploits limited control data available into a hierarchical structure where each layer is specialised for controlling different system parameters.The energy management is controlled by secondary control, which has access to demand and supply whereas primary control restores busbar voltages as per requirement taking local conditions into account.Joint action between primary and secondary controllers reconfigures the system to operate with minimal power flow in tie line and maximum energy storage utilisation while maintaining optimal state of charge.To demonstrate the effectiveness of the proposed method, different case studies are performed under various operating conditions and results show the system can maintain optimal power flow and effectively utilise batteries.This leads to longer battery life, reduced energy costs, and reliable power supply in different supply and loading situations.
RL-LSTM Enhanced Hybrid Navigation: An Intelligent APF Approach for Differential Wheel Drive Shrestha Ghosh, Hrity Sinha, Nabanita Adhikary Proceedings of the IEEE Conference on Systems Process and Control Icspc, 2025 This study introduces a hybrid path-planning method for a two-wheel mobile robot by integrating artificial potential field guidance, memory-based directional smoothing, and reinforcement learning with an interactive graphical interface. Users can define initial and target positions and obstacles in a two-dimensional space. The robot navigates safely toward the target by combining force-based attraction and repulsion, past motion data, and adaptive decision-making through learning. The system enables real-time training, path visualization, and curve smoothing. This approach improves movement through complex environments by combining classical navigation techniques, memory-driven behavior, and intelligent learning for better flexibility and obstacle avoidance.
Generative Pretraining Transformer Based False Data Injection Attack Detection Framework for DC Microgrid Under Uncertain Operating Condition Alankrita, Avadh Pati, Nabanita Adhikary 2025 IEEE North East India International Energy Conversion Conference and Exhibition Ne Iecce 2025, 2025 Traditional False Data Injection Attack (FDIA) techniques typically rely on prediction-based models that forecast Renewable Energy Source (RES) generation. This reliance leads to increased computational demands, added complexity, and greater uncertainty. Recent advancements in generative models with zero shot learning have provided alternatives to apply autoregressive modeling to other domains. In this paper, Generative Pretraining Transformer (GPT) based model is adapted for current measurement forecasting. The choice of GPT is motivated by its ability to capture complex temporal dependencies in sequential data and leverage generative pretraining to model nonlinear patterns in historical measurements, while also handling unknown inputs more robustly, which is an area where traditional prediction models often struggle. The forecasted values are compared with actual values based on sample of past measurements and any deviation past tuneable threshold can be used for detection of FDIA. Furthermore, the sample captures current trends and contextual information about system dynamics, enabling efficient prediction of future measurements even when current readings are corrupted by FDIA or exhibit high variability through zero-shot learning. Various scenarios were examined by incorporating FDIA while evaluating false positives and computational demands. Results indicated proposed framework provides good detection with less computational overhead and complexities.
Multiagent deep reinforcement learning-based distributed control strategy for energy management in DC Microgrid A Pati, N Adhikary Computers and Electrical Engineering 131, 110927 , 2026 2026 Citations: 1
RL-LSTM Enhanced Hybrid Navigation: An Intelligent APF Approach for Differential Wheel Drive S Ghosh, H Sinha, N Adhikary 2025 IEEE 13th Conference on Systems, Process & Control (ICSPC), 7-12 , 2025 2025 Citations: 1
Optimal allocation of distributed power in adaptive droop controlled isolated DC microgrid under renewable energy intermittency and uncertainty using fuzzy logic controllers A Pati, N Adhikary Computers and Electrical Engineering 126, 110445 , 2025 2025 Citations: 7
Generative Pretraining Transformer Based False Data Injection Attack Detection Framework for DC Microgrid Under Uncertain Operating Condition A Pati, N Adhikary 2025 IEEE North-East India International Energy Conversion Conference and … , 2025 2025 Citations: 2
Robust Fault Tolerant Control Based on Adaptive Backstepping Terminal Sliding Mode S Ghosh, N Adhikary 2025 IEEE North-East India International Energy Conversion Conference and … , 2025 2025
A robust control scheme for optimized pitch angle estimation of offshore wind turbine under varied climatic conditions using Osprey algorithm P Kumar, N Adhikary Measurement 250, 117122 , 2025 2025 Citations: 6
Analysis of control and computational strategies for green energy integration for sociotechnical ecological power infrastructure in Indian and African markets P Kumar, K Kumar, N Adhikary, EL Tesfaye Scientific Reports 15 (1), 13953 , 2025 2025 Citations: 12
Systems Through Pitch Angle Variations P Kumar, K Kumar, AK Bohre, N Adhikary Application of Advance Techniques in Power and Energy Systems: Select … , 2025 2025
Detection and mitigation against false data injection attacks using SHT and ANN in distributed control of DC microgrid A Pati, N Adhikary Electric Power Systems Research 241, 111356 , 2025 2025 Citations: 18
Estimating Optimal Pitch Angle of Wind P Kumar, K Kumar, AK Bohre, N Adhikary Application of Smart Technologies in Power System and Smart Grid: Select … , 2025 2025
Estimating Wind Turbine's Pitch Angle for Smart Control in hybrid energy network under Random Loading Conditions P Kumar, K Kumar, AK Bohre, N Adhikary IEEE Transactions on Industry Applications , 2025 2025 Citations: 1
Controlling power fluctuations in grid-connected hybrid PV system with energy management using hierarchical fuzzy logic Alankrita, A Pati, N Adhikary International Journal of Power and Energy Conversion 16 (1), 62-77 , 2025 2025
Voltage Stability Enhancement in a DC Microgrid Using Fuzzy Logic-Controlled Hybrid Photovoltaic and Energy Storage System A Pati, N Adhikary 2024 IEEE Students Conference on Engineering and Systems (SCES), 1-6 , 2024 2024 Citations: 4
Remote tele‐operation using model reference discrete‐time sliding mode control N Adhikary, A Bartoszewicz, R Dey International Journal of Robust and Nonlinear Control 34 (8), 5079-5109 , 2024 2024 Citations: 3
Exploring the Effectiveness of Different MPPT Algorithms for Thermoelectric Generator Optimization: A Comparative Study R Bhattacharjee, S Islam, A Deb, N Adhikary 2024 IEEE 13th International Conference on Communication Systems and Network … , 2024 2024 Citations: 2
A Novel Approach of Nonlinear Control in Photovoltaic/Wind/Energy Storage System With Event‐Triggered DC Link Voltage Control in DC Microgrid Alankrita, A Pati, N Adhikary International Journal of Circuit Theory and Applications , 2024 2024 Citations: 3
Performance Analysis of Wind-Integrated Multi-area Power Systems Through Pitch Angle Variations P Kumar, K Kumar, AK Bohre, N Adhikary International Conference on Computational Intelligence And Smart … , 2023 2023
Intelligent Controlling of Multi Area System Including Wind Power in Random Load Pattern using Firefly Optimization Technique P Kumar, K Kumar, AK Bohre, N Adhikary 2023 IEEE 3rd International Conference on Smart Technologies for Power … , 2023 2023 Citations: 2
A Comparative Performance Analysis of P&O and ANN Algorithm Based MPPT Energy Harvesting in PV Systems R Bhattacharjee, A Deb, N Adhikary 2023 7th International Conference on Computation System and Information … , 2023 2023 Citations: 4
Optimal Management of Multi-Area System Incorporating Wind Power Across Varied Climatic Conditions using Firefly Optimization Methodology P Kumar, K Kumar, AK Bohre, N Adhikary 2023 3rd International Conference on Energy, Power and Electrical … , 2023 2023 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
Integral backstepping sliding mode control for underactuated systems: Swing-up and stabilization of the Cart–Pendulum System N Adhikary, C Mahanta ISA transactions 52 (6), 870-880 , 2013 2013 Citations: 196
Sliding mode control of position commanded robot manipulators N Adhikary, C Mahanta Control Engineering Practice 81, 183-198 , 2018 2018 Citations: 85
Fuzzy logic based energy management for grid connected hybrid PV system A Pati, N Adhikary, SK Mishra, B Appasani, TS Ustun Energy Reports 8, 751-758 , 2022 2022 Citations: 40
Inverse dynamics based robust control method for position commanded servo actuators in robot manipulators N Adhikary, C Mahanta Control Engineering Practice 66, 146-155 , 2017 2017 Citations: 30
Detection and mitigation against false data injection attacks using SHT and ANN in distributed control of DC microgrid A Pati, N Adhikary Electric Power Systems Research 241, 111356 , 2025 2025 Citations: 18
Analysis of control and computational strategies for green energy integration for sociotechnical ecological power infrastructure in Indian and African markets P Kumar, K Kumar, N Adhikary, EL Tesfaye Scientific Reports 15 (1), 13953 , 2025 2025 Citations: 12
Sensor fusion in autonomous vehicle using LiDAR and camera Sensor D Das, N Adhikary, S Chaudhury 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 336-341 , 2022 2022 Citations: 11
Optimal Management of Multi-Area System Incorporating Wind Power Across Varied Climatic Conditions using Firefly Optimization Methodology P Kumar, K Kumar, AK Bohre, N Adhikary 2023 3rd International Conference on Energy, Power and Electrical … , 2023 2023 Citations: 9
Hybrid impedance control of robotic manipulator using adaptive backstepping sliding mode controller with PID sliding surface N Adhikary, C Mahanta 2017 Indian Control Conference (ICC), 391-396 , 2017 2017 Citations: 8
Backstepping sliding mode controller for a co-ordinated links (COOL) robot arm N Adhikary, C Mahanta 2014 13th International Workshop on Variable Structure Systems (VSS), 1-5 , 2014 2014 Citations: 8
Optimal allocation of distributed power in adaptive droop controlled isolated DC microgrid under renewable energy intermittency and uncertainty using fuzzy logic controllers A Pati, N Adhikary Computers and Electrical Engineering 126, 110445 , 2025 2025 Citations: 7
A robust control scheme for optimized pitch angle estimation of offshore wind turbine under varied climatic conditions using Osprey algorithm P Kumar, N Adhikary Measurement 250, 117122 , 2025 2025 Citations: 6
Voltage Stability Enhancement in a DC Microgrid Using Fuzzy Logic-Controlled Hybrid Photovoltaic and Energy Storage System A Pati, N Adhikary 2024 IEEE Students Conference on Engineering and Systems (SCES), 1-6 , 2024 2024 Citations: 4
A Comparative Performance Analysis of P&O and ANN Algorithm Based MPPT Energy Harvesting in PV Systems R Bhattacharjee, A Deb, N Adhikary 2023 7th International Conference on Computation System and Information … , 2023 2023 Citations: 4
An osprey inspired optimization-based planning of controllers for wind energy enriched hybrid power system P Kumar, K Kumar, AK Bohre, N Adhikary Int. J. Adv. Res. Innov. Ideas Educ 9, 2395-4396 , 2023 2023 Citations: 4
H∞ Control for T–S Fuzzy System via Delayed State Feedback: Application to Two-Link Robotic System R Datta, R Dey, N Adhikari, J Gu, U Farooq, MU Asad IFAC-PapersOnLine 55 (1), 777-782 , 2022 2022 Citations: 4
Remote tele‐operation using model reference discrete‐time sliding mode control N Adhikary, A Bartoszewicz, R Dey International Journal of Robust and Nonlinear Control 34 (8), 5079-5109 , 2024 2024 Citations: 3
A Novel Approach of Nonlinear Control in Photovoltaic/Wind/Energy Storage System With Event‐Triggered DC Link Voltage Control in DC Microgrid Alankrita, A Pati, N Adhikary International Journal of Circuit Theory and Applications , 2024 2024 Citations: 3
Generative Pretraining Transformer Based False Data Injection Attack Detection Framework for DC Microgrid Under Uncertain Operating Condition A Pati, N Adhikary 2025 IEEE North-East India International Energy Conversion Conference and … , 2025 2025 Citations: 2
Exploring the Effectiveness of Different MPPT Algorithms for Thermoelectric Generator Optimization: A Comparative Study R Bhattacharjee, S Islam, A Deb, N Adhikary 2024 IEEE 13th International Conference on Communication Systems and Network … , 2024 2024 Citations: 2