Pabitra Kumar Biswas completed his B.Tech from WBUT, India. He received his ME. Degree 2007 from IIEST, West Bengal and PhD. Degree in Electrical Engineering on 2013 from NIT, Durgapur. He is presently working as an Associate Professor in Electrical and Electronics Engineering in NIT, Mizoram. He is also Associate Dean (R&C). He has published a numbers of research papers in National/International Conference and Records/Journals. He has a book and more than 6 book chapters and filed three patents. He has completed one DST-SERB project. He has about 15 years of academic as well as research experience. He has guided 7 Ph.D students and more than 10 M.Tech students and Ten more are pursuing their research at present. He has reviewed papers in reputed International Conference and Journals. His research interests include Electromagnetic Levitation System, Active Magnetic Bearing, Power electronics Converters, PMSM and BLDC Motor Drives, Electric Vehicles and Renewable energy.
RESEARCH INTERESTS
lectromagnetic Levitation system, Active magnetic bearing, Power Electronics converters , Vector control and sensor less control of Induction motor,PMSM and BLDC motor Drives,Renewable energy system and E-Vehicles
122
Scopus Publications
1574
Scholar Citations
23
Scholar h-index
50
Scholar i10-index
Scopus Publications
Genetic Algorithm-Based PID Tuning and Time-of-Use Tariff-Based Control for Bidirectional Operation and Cost Optimization of EV Bidirectional Charging Sarasij Adhikary, Pabitra Kumar Biswas, Furkan Ahmad, Ameni Boumaiza Energy Storage, 2026 Incorporating energy aggregators is essential for reducing the strain placed on the system by coordinating Electric Vehicle (EV) charging activities. As EV adoption accelerates, their charging demand, particularly under Grid‐to‐Vehicle (G2V) operations, significantly alters the system's load profile. A Time‐of‐Use (TOU) tariff plan is used to alleviate the problems caused by peak demand and decrease the peak‐to‐valley load differential, promoting more balanced energy consumption patterns. To enable bidirectional power flow in Vehicle‐to‐Grid (V2G) applications, to enable energy exchange between EVs and the grid, certain chargers are needed, thereby providing economic incentives to users. In this work, a comprehensive bidirectional EV charging model is developed using the MATLAB/Simulink platform. The model comprises a DC‐DC bidirectional converter, an AC‐DC front‐end, and an LCL filter, all configured for a Level 2 charger that supports a 32A bidirectional current. The Proportional‐Integral (PI) controller, on which the control strategy is based, has its settings improved by a Genetic Algorithm (GA) to improve system performance. An evaluation of previous research informs the TOU tariff structure used for cost analysis. Simulation results demonstrate the efficacy of the proposed GA‐based optimization framework in minimizing operational costs during both V2G and G2V modes, while considering the charger's power rating and dynamic pricing signals.
Pelagic fusion algorithm empowered turbo-flux motornet for enhanced dynamic performance of sensorless BLDC motors Venkatesh Tadivalasa, Pabitra Kumar Biswas, Upama Das, Sudhakar Babu Thanikanti Engineering Research Express, 2026 Sensorless control of BLDC motors becomes highly essential in most modern industrial and automotive applications for cost-effectiveness, less maintenance, and high reliability due to the elimination of physical sensors. Precise control in sensorless systems is difficult to achieve because nonlinear dynamic systems are always affected by the unpredictable disturbances and have required accurate parameter tuning. Most conventional control approaches, such as PID, ANFIS, Fuzzy, and neural network-based methods, cannot balance the main concerns: computational efficiency, minimization of torque ripple, speed regulation, and energy efficiency. This paper presents a novel framework that combines Turbo-Flux MotorNet, a deep learning-based control model for sensorless BLDC motors, with the Pelagic Fusion Algorithm, a swarm intelligence-based optimization technique for accurate estimation of the smoothing factor. The Turbo-Flux MotorNet adopts an advanced neural network architecture to model and compensate for system nonlinearities, ensuring robust speed regulation and dynamic control. Simultaneously, the Pelagic Fusion Algorithm (PFA) performs optimization of control parameters to the most exacting degree for enhanced stability and efficiency in changing operating conditions. It proposes the basis for an innovative architecture that merges data-driven deep learning control with state-of-the-art optimization strategy. The obtained results enable a position to demonstrate efficiency up to 99%, torque ripple reduction, and exact regulation of speed with respect to current state-of-the-art controllers. It opens perspectives to a disruptive solution for the control of sensorless BLDC drives in applications where this characteristic will be of major interest and also gives perspectives toward new developments in the control of high-performance drive applications.
Dynamic Performance of Bidirectional EVSE for IoT-Based Monitoring and Cost Estimation for Reducing Grid Stress S. Adhikary, Pabitra Kumar Biswas, Furkan Ahmad, Ameni Boumaiza IEEE Access, 2026 Electric vehicles (EV) utilise public charging stations that feature a bidirectional charger with a DC-DC converter attached to a DC bus voltage and an active front-end converter using a phase-locked loop (PLL). The minimum value of the integral time absolute error (ITAE) for the proportional integral (PI) parameter, and two optimal tuning methods, are compared with the PI controller’s error computation. The chargers are designed for vehicle-to-grid (V2G) use and support 7.2 kW and 30 kW modes that depend on the EV’s lithium-ion (Li-ion) battery’s discharge current limits. The total harmonic distortion (THD) is 2.81% of the 50 Hz fundamental frequency. 80% of the battery’s State of Charge (SOC) is used to go from constant current (CC) to constant voltage (CV) charging. SOC is increased by 0.1% from 11.99 to 16.35 seconds, depending on SOC level—the mode change from 7.56 to 10.28 kW results in a power deviation. The usage-based tariff (TOU) is computed using an Indian tariff model and other available tariff models. An Internet of Things (IoT) based control and monitoring system for EV charging stations has been developed on the ThingSpeak cloud, showcasing enhanced dynamic performance in synchronising DC link and inverter voltages. TOU calculations utilize a bidirectional electric vehicle supply equipment (EVSE) model based on Indian tariffs, and the paper validates the V2G system through simulations, estimating operational costs informed by system performance and IoT integration.
Optimised energy management strategy for fuel cell hybrid electric vehicles using a machine learning framework Debasis Chatterjee, Chiranjit Sain, Amarjit Roy, Pabitra Kumar Biswas International Journal of Mathematical Modelling and Numerical Optimisation, 2026 Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.
Optimized PV fed sensorless BLDC motor control system using Q-recurrent adaptive controller and Levy-enhanced circular search mechanisms Venkatesh Tadivalasa, Pabitra Kumar Biswas, Upama Das, Sudhakar Babu Thanikanti, Shitharth Selvarajan Scientific Reports, 2025 Sensorless BLDC motor speed and torque control find a wide range of applications in electric vehicles, renewable power systems, industrial automation, and other places where efficient and reliable operation is required. Most of the conventional control techniques that have been traditionally used are the PID and ANFIS controllers, which generally bear limitations in performance for varying load conditions, complexity, and sensitivity to parameter variations. The goal of the paper presented in this context is to develop a smart controller for the Solar PV-fed sensorless BLDC motor. It combines a Q-Recurrent Adaptive Motor Controller (Q-RAMC) controlling mechanism with Levy-Enhanced Circular Search (LECS) for mapping function estimation. The novelty in this work rests on the combined effect of a Solar PV system with advanced control techniques for sensorless BLDC motor operation. Indeed, the developed method outperforms several existing control methods, hence yielding superior results in the form of smaller torque variations, smoother speed profile, and improved dynamic response. The simulation results show that the proposed approach significantly enhances motor control and outperforms conventional PID and ANFIS controllers. The system reduces torque ripple by 3.10%, which allows a smoother torque to be delivered, while overall efficiency reaches up to 99% that is an excellent energy utilization. Also, the speed transient time decreases by 1.5 s and the rise time shortens by 0.5 s that indicates the faster dynamic response and the better control precision.
Optimal WBG Device Selection for Enhanced Inverter Performance in Tactical Energy Systems Debarghya Dutta, Pabitra Kumar Biswas 2025 IEEE Space Aerospace and Defence Conference Space 2025, 2025 Active magnetic bearings sustain the flywheel energy storage system, which delivers collected rotational energy as DC power. An inverter then transforms this DC power into AC power to supply the grid or load. This paper aims to strategically select the wide-bandgap (WBG) components, such as Si, SiC, GaN, and SuperGaN, for optimizing an inverter performance for a tactical hybrid microgrid system. The work uses a MATLAB-based analytical structure to pre-select the optimal WBG device by assessing some key performance parameters, such as switching and conduction losses, thermal profiles, dV/dt, di/dt features, cost-effectiveness, and reliability. According to the findings, SuperGaN outperformed other devices, showing increased dV/dt and di/dt capabilities, better-switching efficiency, and optimum thermal and economic performance. SiC showed better conduction loss reduction and thermal stability, while GaN showed high-speed switching with a lower gate charge. The results aim to direct concentrated controlling strategies and noise / EMI reduction methods based on the best-fit WBG device, ensuring increased system dependability and efficiency.
Design and Analysis of a Double-Band Textile Patch Antenna on a Partial Ground Plane to Provide Mid-Band 5G Communication Debarghya Dutta, Pabitra Kumar Biswas 2025 IEEE 4th International Conference for Advancement in Technology Iconat 2025, 2025 This paper presents the design and modelling of a rectangular microstrip textile patch antenna using a polyester substrate and a copper foil tape ground plane for wearable technology applications that demand high bandwidth for seamless connectivity. The antenna achieves double-band resonance through a patch width to feed line width ratio close to 1.8 and wide impedance bandwidth using a partial ground plane, after parametric optimizations around an initial center frequency of 3 GHz. According to the simulation results, the antenna exhibits a return loss of −23.01 dB and −23.60 dB, an efficiency of 64.64 % and 88.74 %, and bandwidth of 48.17 % (ranging from 1.27 to 2.01 GHz) and 28.21 % (ranging from 3.68 to 4.87 GHz) for the two resonant frequencies of 1.53 GHz and 4.22 GHz, respectively. The antenna has stable gain and good directional radiation characteristics, making it suitable for the L and low-C bands of the mid-band 5 G spectrum. The suggested design has the potential to address the complex requirements of low-cost wearable technology by providing significant bandwidth in addition to reasonable gain and efficiency, which are influenced by the dielectric constant of the substrate. The simulation is performed using CST software.
Design of Stand-Alone PV System for Interior Village of Mizoram Chandersen, Pabitra Kumar Biswas, Avinash Kumar, Debarghya Dutta Proceedings of the International Conference on Power Electronics Drives and Energy Systems for Industrial Growth Pedes, 2024
Fem software based 2-D and 3-D construction and simulation of single and double coils active magnetic bearing EEE Department, National Institute of Technology Mizoram, Aizawl, Mizoram, India, Jonathan Laldingliana, Sukanta Debnath, EEE Department, National Institute of Technology Mizoram, Aizawl, Mizoram, India., Pabitra Kumar Biswas, EEE Department, National Institute of Technology Mizoram, Aizawl, Mizoram, India. International Journal of Innovative Technology and Exploring Engineering, 2019
Performance analysis for open loop brushless DC motor drive Electrical, Electronics Engineering, NIT Mizoram, Aizawl, India., Upama Das*, Pabitra Kumar Biswas, Electrical, Electronics Engineering, NIT Mizoram, Aizawl, India., Sanjeev Parek, Electrical, Electronics Engineering, NIT Mizoram, Aizawl, India. International Journal of Engineering and Advanced Technology, 2019
An power-train model based on the internet of things for thingspeak data tracking and EV performance evaluation S Adhikary, PK Biswas, SB Thanikanti, B Aljafari, NI Nwulu Engineering Research Express 8 (7), 075330 , 2026 2026
Genetic Algorithm‐Based PID Tuning and Time‐of‐Use Tariff‐Based Control for Bidirectional Operation and Cost Optimization of EV Bidirectional Charging S Adhikary, PK Biswas, F Ahmad, A Boumaiza Energy Storage 8 (1), e70317 , 2026 2026 Citations: 1
Dynamic Performance of Bidirectional EVSE for IoT-Based Monitoring and Cost Estimation for Reducing Grid Stress S Adhikary, PK Biswas, F Ahmad, A Boumaiza IEEE Access , 2026 2026
Pelagic Fusion Algorithm Empowered Turbo-Flux MotorNet for Enhanced Dynamic Performance of Sensorless BLDC Motors V Tadivalasa, PK Biswas, U Das, SB Thanikanti Engineering Research Express , 2026 2026
Sensitivity and performance analysis of the impact on change in controller and system parameters of active magnetic bearing S Gupta, S Debnath, U Das, PK Biswas Mechanics Based Design of Structures and Machines 54 (1), 2564818 , 2026 2026
Optimised energy management strategy for fuel cell hybrid electric vehicles using a machine learning framework D Chatterjee, C Sain, A Roy, PK Biswas International Journal of Mathematical Modelling and Numerical Optimisation … , 2026 2026
Optimized PV fed sensorless BLDC motor control system using Q-recurrent adaptive controller and Levy-enhanced circular search mechanisms V Tadivalasa, PK Biswas, U Das, SB Thanikanti, S Selvarajan Scientific Reports 15 (1), 42701 , 2025 2025 Citations: 1
Repulsive Passive Type Magnetic Bearing Varying Different Physical Parameters R Kumar, PK Biswas, S Gupta Signal Processing, Telecommunication and Embedded Systems: Automation and … , 2025 2025
Design and Analysis of a Double-Band Textile Patch Antenna on a Partial Ground Plane to Provide Mid-Band 5G Communication D Dutta, PK Biswas 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT … , 2025 2025
A Resilient Framework for Solar-Powered DC Microgrid Stations Using Walrus Algorithm D Mazumdar, JM Guerrero, E Baeyens, C Sain, PK Biswas Smart Grids and Sustainable Energy 10 (2), 60 , 2025 2025 Citations: 3
Optimal WBG Device Selection for Enhanced Inverter Performance in Tactical Energy Systems D Dutta, PK Biswas 2025 IEEE Space, Aerospace and Defence Conference (SPACE), 1-6 , 2025 2025
Effect of surface texture of solar cells on their radiative cooling performance A Kumar, PK Biswas, A Chowdhury 2025 IEEE 5th International Conference on Sustainable Energy and Future … , 2025 2025
Evaluation of Energy Production in a MW Level Bifacial PV Plant with Different Albedo Conditions A Arya, PK Biswas, A Kumar, D Dutta 2025 IEEE 5th International Conference on Sustainable Energy and Future … , 2025 2025
Advanced Analytical and Empirical Control Strategies for Active Magnetic Bearing Systems D Dutta, PK Biswas, S Gupta, S Debnath, A Boumaiza, F Ahmad IEEE Access , 2025 2025 Citations: 5
Effective Energy Management Technique for Fuel Cell Hybrid Electric Vehicle using Deep Reinforcement Learning Technique D Chatterjee, C Sain, PK Biswas, A Roy 2025 7th International Conference on Energy, Power and Environment (ICEPE), 1-5 , 2025 2025
Exact analytic technique for designing controller architecture in multi-axis active magnetic bearings with rotor eccentricities D Dutta, S Debnath, PK Biswas Mechanics Based Design of Structures and Machines 53 (5), 3823-3841 , 2025 2025 Citations: 5
Design, simulation and testing of U-type actuator-based single-coil active-magnetic-bearing U Das, S Debnath, S Gupta, PK Biswas, SK Biswas, TS Babu Mechanics Based Design of Structures and Machines 53 (5), 3484-3500 , 2025 2025 Citations: 7
Design and Analysis of Bidirectional Charging Stations for Sustainability Roadmap for Smart Electric Vehicles S Adhikary, PK Biswas Smart Electric and Hybrid Vehicles: Advancements in Materials, Design … , 2025 2025
Robust Load Frequency Control in Hybrid Power Systems Using QOSCA-Tuned PID with EV Loads P Roy, PK Biswas, C Sain, TS Ustun Energy Engineering: Journal of the Association of Energy Engineers 122 (10 … , 2025 2025
Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System A Ganguly, PK Biswas, S Gupta, F Ahmad International Journal of Energy Research 2025 (1), 3604772 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
Overview of solar photovoltaic MPPT methods: a state of the art on conventional and artificial intelligence control techniques D Mazumdar, C Sain, PK Biswas, P Sanjeevikumar, B Khan International Transactions on Electrical Energy Systems 2024 (1), 8363342 , 2024 2024 Citations: 98
GAO optimized sliding mode based reconfigurable step size Pb&O MPPT controller with grid integrated EV charging station D Mazumdar, PK Biswas, C Sain, TS Ustun IEEE Access 12, 10608-10620 , 2023 2023 Citations: 59
Advancement of electric vehicle technologies, classification of charging methodologies, and optimization strategies for sustainable development-a comprehensive review VG Madaram, PK Biswas, C Sain, SB Thanikanti, PK Balachandran Heliyon 10 (20) , 2024 2024 Citations: 57
Bidirectional converter based on G2V and V2G operation with time of usage-based tariff analysis and monitoring of charging parameters using IoT S Adhikary, PK Biswas, C Sain, SB Thanikanti, NI Nwulu Energy Reports 9, 5404-5419 , 2023 2023 Citations: 46
Efficient energy management strategy for fuel cell hybrid electric vehicles using classifier fusion technique D Chatterjee, PK Biswas, C Sain, A Roy, F Ahmad IEEE Access 11, 97135-97146 , 2023 2023 Citations: 46
A comprehensive analysis of the optimal GWO based FOPID MPPT controller for grid-tied photovoltaics system under atmospheric uncertainty D Mazumdar, PK Biswas, C Sain, F Ahmad, L Al-Fagih Energy Reports 12, 1921-1935 , 2024 2024 Citations: 39
Modelling and Comparative Dynamic Analysis due to Demagnetization of a Torque Controlled Permanent Magnet Synchronous Motor Drive for Energy-Efficient Electric Vehicle PKB Chiranjit Sain, Atanu Banerjee ISA Transactions, Elsevier , 2019 2019 Citations: 39
Bi-LSTM predictive control-based efficient energy management system for a fuel cell hybrid electric vehicle D Chatterjee, PK Biswas, C Sain, A Roy, F Ahmad, J Rahul Sustainable Energy, Grids and Networks 38, 101348 , 2024 2024 Citations: 37
Metaheuristic optimization techniques used in controlling of an active magnetic bearing system for high-speed machining application S Gupta, PK Biswas, S Debnath, A Ghosh, TS Babu, HM Zawbaa, ... IEEE Access 11, 12100-12118 , 2023 2023 Citations: 37
Design, analysis, and testing of I-type electromagnetic actuator used in single-coil active magnetic bearing S Debnath, PK Biswas Electrical Engineering 103 (1), 183-194 , 2021 2021 Citations: 37
Artificial intelligence based fractional order PID control strategy for active magnetic bearing J Laldingliana, PK Biswas Journal of Electrical Engineering & Technology 17 (6), 3389-3398 , 2022 2022 Citations: 34
Performance analysis of drone sqadron optimisation based MPPT controller for grid implemented PV battery system under partially shaded conditions D Mazumdar, PK Biswas, C Sain, F Ahmad, TS Ustun, A Kalam Renewable Energy Focus 49, 100577 , 2024 2024 Citations: 33
Modern DC–DC power converter topologies and hybrid control strategies for maximum power output in sustainable nanogrids and picogrids—a comprehensive survey A Ganguly, PK Biswas, C Sain, TS Ustun Technologies 11 (4), 102 , 2023 2023 Citations: 33
Design and optimisation of a fuzzy-PI controlled modified inverter-based PMSM drive employed in a light weight electric vehicle C Sain, A Banerjee, PK Biswas, AT Azar, TS Babu International Journal of Automation and Control 16 (3-4), 459-488 , 2022 2022 Citations: 33
Techno-commercial analysis of sustainable E-bus-based public transit systems: An Indian case study S Majumder, K De, P Kumar, B Sengupta, PK Biswas Renewable and Sustainable Energy Reviews 144, 111033 , 2021 2021 Citations: 33
Advancements and challenges in active magnetic bearings: a comprehensive review of performance, control, and future prospects D Dutta, PK Biswas, S Debnath, F Ahmad IEEE Access 13, 3051-3071 , 2024 2024 Citations: 31
Advanced magnetic bearing device for high-speed applications with an I-type electromagnet S Debnath, PK Biswas Electric Power Components and Systems 48 (16-17), 1862-1874 , 2021 2021 Citations: 29
Updated PSO optimised fuzzy‐PI controlled buck type multi‐phase inverter‐based PMSM drive with an over‐current protection scheme C Sain, A Banerjee, P Kumar Biswas, T Sudhakar Babu, T Dragicevic IET electric power applications 14 (12), 2331-2339 , 2020 2020 Citations: 28
Closed Loop control of Active Magnetic Bearing using PID controller SDPKB Suraj Gupta, Jonathan Laldingliana IEEE International Conference on Computing, Power and Communication … , 2018 2018 Citations: 28
An improved low‐voltage ride‐through (LVRT) strategy for PV‐based grid connected inverter using instantaneous power theory S Bagchi, D Chatterjee, R Bhaduri, PK Biswas IET Generation, Transmission & Distribution 15 (5), 883-893 , 2021 2021 Citations: 26
