PABITRA KUMAR BISWAS
@nitmz.ac.in
Associate Professor and EEE
NIT MIZORAM
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
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Debasis Chatterjee, Pabitra Kumar Biswas, Chiranjit Sain, Amarjit Roy, F. Ahmad, and Jagdeep Rahul
Elsevier BV
S. Debnath, U. Das, and P. K. Biswas
Springer Science and Business Media LLC
Jonathan Laldingliana, Sukanta Debnath, Pabitra Kumar Biswas, and Upama Das
Springer Science and Business Media LLC
Debabarata Mazumdar, Pabitra Kumar Biswas, Chiranjit Sain, and Taha Selim Ustun
Institute of Electrical and Electronics Engineers (IEEE)
Sarasij Adhikary, Pabitra Kumar Biswas, Chiranjit Sain, Sudhakar Babu Thanikanti, and Nnamdi I. Nwulu
Elsevier BV
Anupama Ganguly, Pabitra Kumar Biswas, Chiranjit Sain, and Taha Selim Ustun
MDPI AG
Sustainable energy exhibited immense growth in the last few years. As compared to other sustainable sources, solar power is proved to be the most feasible source due to some unanticipated characteristics, such as being clean, noiseless, ecofriendly, etc. The output from the solar power is entirely unpredictable since solar power generation is dependent on the intensity of solar irradiation and solar panel temperature. Further, these parameters are weather dependent and thus intermittent in nature. To conquer intermittency, power converters play an important role in solar power generation. Generally, photovoltaic systems will eventually suffer from a decrease in energy conversion efficiency along with improper stability and intermittent properties. As a result, the maximum power point tracking (MPPT) algorithm must be incorporated to cultivate maximum power from solar power. To make solar power generation reliable, a proper control technique must be added to the DC–DC power converter topologies. Furthermore, this study reviewed the progress of the maximum power point tracking algorithm and included an in-depth discussion on modern and both unidirectional and bidirectional DC–DC power converter topologies for harvesting electric power. Lastly, for the reliability and continuity of the power demand and to allow for distributed generation, this article also established the possibility of integrating solar PV systems into nanogrids and picogrids in a sustainable environment. The outcome of this comprehensive survey would be of strong interest to the researchers, technologists, and the industry in the relevant field to carry out future research.
Anupama Ganguly, Pabitra Kumar Biswas, Chiranjit Sain, Ahmad Taher Azar, Ahmed Redha Mahlous, and Saim Ahmed
MDPI AG
The need for energy is always increasing as civilization evolves. Renewable energy sources are crucial for meeting energy demands as conventional fuel resources are slowly running out. Researchers are working to extract the most amount of power possible from renewable resources. Numerous resources are in demand, including solar, wind, biomass, tidal, and geothermal resources. Solar energy outperformed all the aforementioned resources in terms of efficiency, cleanliness, and pollution freeness. Intermittency, however, is the resource’s main shortcoming. Maximum power point tracking algorithm (MPPT) integration is required for the system to achieve continuous optimum power by overcoming the feature of intermittency. However, generating electrical energy from solar energy has presented a significant problem in ensuring the output power’s quality within a reasonable range. Total harmonic distortion (THD), a phenomenon, may have an impact on the power quality. Depending on the properties of the load, variables like power factor, voltage sag/swell, frequency, and unbalancing may occur. The quality of power and its criterion exhibits a non-linear connection. The article’s primary objective is to analyze the PV interface grid-linked system’s qualitative and quantitative performance. With respect to varying solar irradiation conditions, partial shading conditions, and solar power quality within the acceptable dimension, a novel intelligent multiple-objective horse herd optimization (HHO)-based adaptive fractional order PID (HHO-AFOPID) controller is used to achieve this goal. Adaptive fractional order PID (AFOPID), conventional FOPID, and PID controllers were used to evaluate the performance of the suggested controller, which was then validated using a commercially available PV panel in MATLAB/Simulink by varying the productivity of non-conventional resources, the inverter’s level of uncertainty, and the potential at the grid’s end. In order to realize the features of the system, sensitivity examination is also carried out for solar energy’s sensitive parameters. The stability analysis of the proposed control topology is also carried out in terms of the integral absolute error (IAE) and integral time absolute error (ITAE). The examination of the sensitivity of variations in solar radiation in kilowatt per square meter per day is based on the total net present cost (TNPC) and levelized cost of energy (LCOE), as optimal dimension and energy cost are both aspects of priority. The suggested control methodology is an approach for the qualitative and quantitative performance analysis of a PV interface grid-oriented system.
Sukanta Debnath, Upama Das, Pabitra Kumar Biswas, Belqasem Aljafari, and Sudhakar Babu Thanikanti
MDPI AG
In the rotating machinery sector, active magnetic bearing (AMB) has drawn great attention due to its benefits over the conventional bearing system. The high-speed technology is enhanced by AMBs, which also reduce maintenance costs and eliminate friction loss. This paper presents a unique, simpler, efficient design and hardware implementation for high-speed applications using two-coil I-type active magnetic bearings. To maintain the 10 mm air gap between the actuator and the rotor, two categories of controllers have been designed for the proposed system to control the position and another for detecting the coil current through the power amplifier. The AMB system is incorporated into a 3D finite element model for determining magnetic properties. The magnetic analysis is then carried out under various situations, and the attractive force characteristics have been evaluated for this suggested system to check the performance of the multicoil AMB system along with the stability analysis. The system is designed and simulated in MATLAB Simulink and implemented in hardware to validate the different outputs viz. position response and current response. Finally, an AC magnet is designed to rotate the rotor after the levitation, and a higher speed of 19,643 rpm is achieved in comparison to conventional bearings, which can be utilized in different industrial applications.
Suraj Gupta, Sukanta Debnath, and Pabitra Kumar Biswas
Springer Science and Business Media LLC
Debabrata Mazumdar, Chiranjit Sain, and Pabitra Kumar Biswas
IEEE
Immense-scale solar photovoltaic (PVC) systems are susceptible to partial shadowing circumstances (PSCS). By generating repetitive peaks in the power-voltage (P-V) feature, PSCS has potential to decrease the performance of the Photovoltaic system. To use the PV system as its utmost possible limit, it should be operated at global maximum power point (GMPP). In this work, a hybrid methodology depending upon the Cuckoo Search algorithm (CUSA) and Flying Squirrel Search Optimization (FSSO) is developed for tracking of GMPP. In order to take advantage of both methods' strengths, this research suggests a novel MPPT algorithm that combines the CUSA algorithm and FSSO. The suggested approach is tested with various partial shading instances and the uniform irradiance condition in order to validate it. Comparing the simulation and experimental findings to the original CUSA method and FSSO algorithm, there is a discernible performance gain.
Suraj Gupta and Pabitra Kumar Biswas
Universidad Nacional Autonoma de Mexico
In this manuscript, a closed loop active magnetic bearing system (AMB) is proposed, dynamically modelled and linearized in form of unstable transfer function. To achieve proper bearing operation, the proposed AMB system is controlled by two separate controllers, one to control the current in the electromagnet coils by forming an inner closed loop and second to stabilize the position of the suspending object at equilibrium. To maintain the position of suspending object at equilibrium, for the proposed AMB system (considering inner closed loop as unity) a conventional PID controller, a PD-fuzzy logic controller (PD-FLC) and a PID-fuzzy logic controller (PID-FLC) is designed and their performance is observed and compared. Later, the effect of designed controllers on the complete proposed AMB system is studied with the help of control system plots and improvement among their performances is observed. The plotted step responses and calculated transient state parameters will verify that by changing the conventional PID controller to a PID-FLC could result in 48.34% improvement in overshoot, 41.52% increment in speed of response and 32.23% increment in the relative stability.
Suraj Gupta and Pabitra Kumar Biswas
IEEE
In this paper, a state space canonical form of DC motor is designed mathematically and then simulated in MATLAB Simulink. For a stable DC motor drive operation, a closed loop is required which accompany DC motor, controller, chopper and sensors. Further, in this manuscript a Fuzzy logic controller (FLC) is designed using fuzzy toolbox of MATLAB. Later, the canonical form of DC motor along with FLC and other major components of closed loop system a simulation is carried out with a load. Performance of this closed loop is observed on two cases. First, when the inner closed loop is unity and next is with complete closed loop system. Speed response for both cases is observed along with load. Time domain analysis parameters for these two cases are calculated and compared too. Comparison analysis shows the effectiveness and usefulness of the designed fuzzy logic controller with the closed loop DC motor drive.
Suraj Gupta and Pabitra Kumar Biswas
IEEE
In this paper a comparative study of different classical controllers for dc motor drives has been presented. There are two control loops, the current controller loop which is the inner loop and the other is the speed controller loop which is the outer loop. Inner current control loop consists of current controller, chopper, current sensor and machine block. The outer speed control loop comprises of speed controller, speed sensor and mechanical block. Firstly, a proportional (P) and a proportional integral (PI) controller is simulated and implemented as a current controller and speed controller respectively. With these controllers, the output speed of the closed loop is observed without and with load. Secondly, a PI controller is used as a current and speed controller and output speed is observed again. Later, performance of the closed loop with the designed controller and various time domain and frequency analysis parameters are obtained and compared. The comparison results show the effectiveness and usefulness of each classical controller.
Debasis Chatterjee, Pabitra Kumar Biswas, Chiranjit Sain, Amarjit Roy, and Furkan Ahmad
Institute of Electrical and Electronics Engineers (IEEE)
This paper presents an efficient energy management strategy for Fuel Cell Hybrid Electric Vehicles (FCHEV) using a Machine Learning (ML) approach. Petroleum-based fuels are utilised in conventional cars to provide good performance and long-distance speed. There are certain disadvantages to using petrol or diesel, such as poor fuel economy and pollution-causing exhaust gas emissions. Furthermore, there are some limitations with existing available work, and the merger of these different optimisation techniques will be advantageous for achieving optimal performance. To address them, the purpose of this research is to create an efficient energy management approach by combining SVM, KNN, and the Naive Bayes technique. Additionally, by combining these classifier techniques better performing EMS is developed. Using the proposed features, the optimisation approach’s performance accuracy is increased. Furthermore, these individual classifiers comprising of SVM, KNN & Naïve Bayes is giving accuracy percentage of 96%, 92% & 94% respectively. Finally, after combining these three classifiers we have achieved an accuracy percentage of 98%.
Debarghya Dutta, Pabitra Kumar Biswas, and Sukanta Debnath
IEEE
This paper discusses the operation of a single-phase standalone inverter in renewable energy applications, specifically for active magnetic bearings (AMB), electromagnetic suspension (EMS), and high-speed transportation utilizing magnetic levitation. Previous methods have encountered difficulties with Total Harmonic Distortion (THD) limits, sudden fluctuations, and system complexity. The proposed approach employs a closed-loop PI controller with unipolar pulse width modulation (PWM) and an LC output filter to simplify the system, reduce THD in the output voltage and current, ensure stability, and decrease mechanical vibrations. The proposed system's effectiveness in reducing THD and simplifying the overall design was tested using PSIM software simulations. The objective is to provide a superior alternative to existing switching power amplifier topologies with feedback controllers for different types of inductive loads.
Upama Das, Sukanta Debnath, Suraj Gupta, Pabitra Kumar Biswas, Thanikanti Sudhakar Babu, and Nnamdi I. Nwulu
Institute of Electrical and Electronics Engineers (IEEE)
An active magnetic bearing (AMB) is an evolving research topic in the bearing industry. Compared to the conventional approach, AMB is more advantageous and has different industrial applications. The design of this bearing needs to be improvised to get more optimized performance. This leads us to focus on the better-designed structure of the actuator, which plays an essential role in AMB performance. Thus in this manuscript, we have designed and compared the I-type and U-type actuators’ performances in terms of their resistance, inductance profile, and force profile to show the characteristics of these actuators. These designed actuators are simulated in Ansys Maxwell software, and compared with the simulation results. Further, these results are verified using hardware results, and the tested actuators are used to design two different AMB systems. One current controller is designed and simulated to achieve the stable levitated position of the rotor. This rotor is rotated by inserting an AC magnet in the system and finally, a rotational system is attained, and its speed is observed by the tachometer for both AMB systems. Both the proposed AMB systems are simple and compact in structure as these are having single coil and single power amplifier. These axial AMB systems are used in many high-speed applications as they are having features like less installation space, less cost and more room for heat dissipation.
Suman Jana, Pabitra Kumar Biswas, Thanikanti Sudhakar Babu, and Hassan Haes Alhelou
Institute of Electrical and Electronics Engineers (IEEE)
Due to the intermittent and hazardous nature of lightning impulse, researchers rely on artificial impulse generators to study it. The Tesla coil is a commonly used device to generate artificial lightning. This paper presents a parametric analysis of the primary side coil of the Tesla transformer. The analysis employs seven key electrical properties: skin depth, current density, voltage distribution, Ohmic loss, electric field strength, charge density, and energy content. These parameters are used to evaluate the response of various coil types to high voltage impulses. The Ansys high-frequency electromagnetic solver is used to perform a comparative analysis of essential parameters. The results can aid lightning researchers and Tesla coil designers in determining the optimal designs for Tesla primary coils in the future. The analyzed data is validated using Tesla coil hardware, which is used as an artificial lightning producer to test the feasibility of a lightning energy harvester.
Pabitra Kumar Biswas, Sarasij Adhikary, and Chiranjit Sain
Inderscience Publishers
Suraj Gupta, Pabitra Kumar Biswas, Sukanta Debnath, Anumoy Ghosh, Thanikanti Sudhakar Babu, Hossam M. Zawbaa, and Salah Kamel
Institute of Electrical and Electronics Engineers (IEEE)
Smart control tactics, wider stability region, rapid reaction time, and high-speed performance are essential requirements for any controller to provide a smooth, vibrationless, and efficient performance of an in-house fabricated active magnetic bearing (AMB) system. In this manuscript, three pre-eminent population-based metaheuristic optimization techniques: Genetic algorithm (GA), Particle swarm optimization (PSO), and Cuckoo search algorithm (CSA) are implemented one by one, to calculate optimized gain parameters of PID controller for the proposed closed-loop active magnetic bearing (AMB) system. Performance indices or, objective functions on which these optimization techniques are executed are integral absolute error (IAE), integral square error (ISE), integral time multiplied absolute error (ITAE), and integral time multiplied square error (ITSE). The significance of an optimization technique and objective function can obtain only by implementing it. As a result, several comparisons are made based on statistical performance, time domain, frequency response behavior, and algorithm execution time. Finally, the applicability of optimization strategies in addition to the performance indices is determined with the aid of the comparative analysis. That could assist in choosing a suitable optimization technique along with a performance index for a high-speed application of an active magnetic bearing system.
Jonathan Laldingliana and Pabitra Kumar Biswas
Springer Science and Business Media LLC
Venkatesh Tadivalasa, Pabitra Kumar Biswas, and Upama Das
IEEE
The goal of this study is to soft start a permanent magnet brushless DC motor and increase the efficiency of an SPV array using a buck-boost converter-driven solar photovoltaic array that is used to pump water. Current sensors, which are typically used to regulate the speed of BLDC motors, are entirely removed. A voltage-source inverter’s changing DC-link voltage controls the BLDC motor’s speed (VSI). This study examines how the interleaved DC-DC converter, which serves as a transitional DC-DC converter between the solar PV array and soft starting of BLDC motors.The output ripple current of the intermediate converter with semiconductor switches is reduced, and it offers an indefinite region for recording maximum power (MPPT). In this project, the speed of a brushless DC motor has been managed utilising a variety of control approaches, including PI, FUZZY, and PSO Optimization techniques. To get the most efficiency out of the solar array, the system is powered by a solar PV array and the MPPT technology.
Suraj Gupta, Pabitra Kumar Biswas, Jonathan Laldingliana, and Sukanta Debnath
IEEE
In this paper, one of the major components of an active magnetic bearing system i.e., power amplifier is simulated and its output is studied. Three different type of power amplifier is designed and their time domain-based output response is observed. Power amplifier is an dc-dc type converter. Hence a dc voltage is given as input to the different models of power amplifier and the corresponding waveforms are analyzed. Further a Pulse width modulation (PWM) based asymmetrical type power amplifier is designed in PSIM and its advantage over other power amplifiers has been discussed.
Sarasij Adhikary and Pabitra Kumar Biswas
IEEE
The Electric Vehicle (EV) has contributed to both the power and transportation sectors, so there should be a balance with the power sector. EV has to spend more time at the charging station than a conventional vehicle, so the charging allocation should be adequate. Still, there may be a disturbance in the charging allotment due to the charging facility or human error. So, this might be a research gap to provide a facility to all the EVs with an IoT -based monitoring system for real-time data monitoring, smooth operation, reduction of the hazard, and data for future optimization in research work. The gap, as mentioned earlier, can be reduced by using an IoT-based data monitoring system. The EV provides the user behavior regarding the SoC characteristics, which provides a road map of the charging. The charging pattern provided to the charging station gives a prerequisite for EV charging as per availability. The charging station also provides data according to the existence of the charging EV. The bidirectional converter-based G2V and V2G energy transfer also require charging the external vehicle for the allotment and sending information about availability. This paper proposes a MATLAB-based IoT model that helps monitor the battery's data from the EV battery's context and the charging station. The cloud-based system provides the SoC of the battery, which will be a key to revealing another parameter of the EV and the charging station.
Sarasij Adhikary, Pabitra Kumar Biswas, and Chiranjit Sain
IEEE
Many automobile manufacturers have already produced and commercialized electrical vehicles (EV). However, the EVs lack of social acceptance is due to its high initial cost, insufficient charging stations, and limited range. An innovative and optimized charging technique will assist consumers with EV energy consumption based on time of use. Depending on the tariff, energy sharing will be a kin interest of the consumer with a revenue benefit, which can reduce the billing cost of the EV user. Further, it results in the demand for EV battery charging at valley load period and grows an interest to share the energy during the peak load period. This type of initiative is required for power system load balancing. Innovative charging development will increase the performance criterion for the user-friendly charging environment. This paper presents a brief discussion of EV charging for a quick review of the researcher and, a bidirectional converter-based simulation model. Generally, the Grid to Vehicle (G2V) operation uses to charge the EV battery, but the Vehicle to Grid (V2G) operation will be the solution for reducing the grid stress.
Suraj Gupta and Pabitra Kumar Biswas
IEEE
Extreme high-speed rotation in a harsh environment with less or no maintenance is nowadays a ubiquitous requirement of heavy industries and automobiles. Among many options, Active Magnetic Bearing (AMB) is the best suited for the requirement. However, the inherent nonlinearities of AMB make researchers to introduce the knowledge of controllers for a stable bearing operation. In this paper, a proposed Active Magnetic Bearing system is first mathematically modelled and linearized in the form of a transfer function. Later for a particular value of the air gap, the transfer function of AMB is calculated and simulated with a Lead controller in a closed-loop form. To further improve the performance of this closed loop a Proportional-Integral-Derivative (PID) controller is used and simulate in a closed-loop form. For both of the controllers, time domain analysis and frequency response analysis is observed, and various parameters like peak overshoot, peak time, rise time, settling time phase margin, gain margin etc. are calculated. Finally, a comparison is carried out to conclude which one of the controller performances is better considering the data obtained from transient state analysis.