Article
Automation & Control Systems
Omid Asvadi-Kermani, Bashir Felegari, Hamidreza Momeni, S. Alireza Davari, Jose Rodriguez
Summary: Interleaved current-fed boost dc converters consisting of voltage multipliers and active clamp circuits have gained attention due to their desirable characteristics such as low input currents, high voltage gains, and low ripple output voltages. Therefore, it is important to develop more effective modeling and control techniques to enhance their performance. In the modeling aspect, an attempt has been made to estimate the system model using real data and dynamic neural networks while reducing the number of variables. In the control aspect, constraints on the control signal and its changing rate have been considered, and the proposed dynamic neural-based model predictive control (NMPC) controller adaptively calculates the control signal changes constraint. The proposed NMPC controller has been applied to the system in an online manner, and experimental results have been compared to basic NMPC and PI controllers. The experimental results demonstrate that the current transient response has smaller current peaks and the output voltage exhibits reduced overshoot when the load and voltage change. The proposed NMPC also shows smaller oscillations in the output voltage steady-state response, approximately 2 volts.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Shivam Chaturvedi, Deepak Fulwani
Summary: The proposed secondary controller based on ISMC adjusts the voltage reference and reduces uncertainties in the communicated data. Additionally, a sliding mode control based primary controller is proposed to regulate voltage during load transients and node plug-in and out.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Thermodynamics
Mingzhang Pan, Ding Li, Chengjie Pan, Lu Liang
Summary: This study proposes a novel adaptive cold-start strategy based on maximum power tracking for proton exchange membrane fuel cells, optimizing the cold-start effect by improving the output voltage model and multi-parameter evaluation model.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Heng Wu, Xiongfei Wang
Summary: The article introduces a novel adaptive virtual impedance control method to limit the current of GFM-VSCs during grid faults. By developing a small-signal model and proposing a holistic controller parameters tuning method, the small-signal stability of the system is guaranteed.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Green & Sustainable Science & Technology
Murat Mustafa Savrun, Mustafa Inci
Summary: This study presents an improved ANFIS-based MPPT method to maximize the power extraction capability of the FC-connected system. The proposed method is validated in a standalone system and demonstrates its superiority in MPP tracking.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Fengxiang Chen, Yaowang Pei, Jieran Jiao, Xuncheng Chi, Zhongjun Hou
Summary: In this paper, a dynamic stack model is established to calculate the energy flow and thermal voltage of a fuel cell stack. The study simulates and compares the energy flow and thermal voltage under different operating conditions. It is found that waste heat accounts for 28% of the heat generated by the stack under maximum power condition, and the thermal voltage increases by 0.02 V for every 10% increase in cathode inlet humidity after saturation. These conclusions have significant economic implications for improving the utilization of electric energy and waste heat in water-cooled PEMFC.
Article
Engineering, Multidisciplinary
Carlos Gomez-Aleixandre, Angel Navarro-Rodriguez, Geber Villa, Cristian Blanco, Pablo Garcia
Summary: This article studies the sharing control scheme for a hybrid 48 V/375 V/400Vac ac/dc microgrid, based on classical droop control and a novel approach for secondary control. The proposed control strategy compensates the droop control voltage error in steady state and eliminates the induced voltage drop. It also offers flexibility by incorporating any power sharing criteria for the converters contributing to the power production.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Yali Jin, Weihua Cao, Min Wu, Yan Yuan
Summary: This paper develops data-based variable universe adaptive fuzzy controllers (VUAFCs) with self-tuning parameters for complex systems with unknown universes. The proposed VUAFC features a newly defined contraction-expansion (C-E) factor on an infinite universe, which is more flexible and practical in real applications. Simulation results show that the proposed method has strong practicability and good control performance.
APPLIED SOFT COMPUTING
(2022)
Article
Chemistry, Physical
Aya Taieb, Shayok Mukhopadhyay, Amani Al-Othman
Summary: This paper investigates the dynamic model of proton-exchange membrane fuel cell (PEMFC) stacks, proposes a modified equivalent circuit model, and utilizes an adaptive parameter estimation technique for parameter estimation. Experimental results validate the feasibility of this method on PEMFC stacks of different sizes and fuel intake configurations, with low estimation error.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Computer Science, Information Systems
Jiawen Li, Tao Yu, Bo Yang
Summary: This article proposes an adaptive Proportional Integral (PI) controller for adjusting the output voltage of a proton exchange membrane fuel cell (PEMFC) based on ambient intelligence large-scale deep reinforcement learning. The controller functions as a coefficient tuner using an ambient intelligence exploration multi-delay deep deterministic policy gradient (AIEM-DDPG) algorithm, which is an improvement on the original deep deterministic police gradient (DDPG) algorithm. The algorithm enhances robustness, adaptability, and control effectiveness, demonstrating good global searching ability and optimization speed.
Article
Automation & Control Systems
Alejandro Rodriguez-Molina, Miguel G. Villarreal-Cervantes, Efren Mezura-Montes, Mario Aldape-Perez
Summary: This paper studies different Pareto-front approximation search approaches in adaptive controller tuning based on online multiobjective metaheuristic optimization, demonstrating the effectiveness of the metric-driven search approach.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Chemistry, Physical
Xingzi Yu, Caizhi Zhang, Min Fan, Bo Deng, Chengcheng Huang, Jiangfeng Xu, Deman Liu, Shangfeng Jiang
Summary: This paper analyzes the dynamic characteristics of defective cells in a PEMFC stack under different load conditions. The results reveal that the defective cell has a slower dynamic response rate and causes poor voltage uniformity in the stack. Increased frequency and amplitude of load change have negative effects on the defective cell, making it more prone to flooding. Impedance spectrum analysis shows that these load conditions have a greater negative impact on the defective cell compared to other cells.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Jianshen Li, Shuangxin Wang, Zhongsheng Hou, Juchao Zhao
Summary: This paper proposes a multivariable model-free adaptive control strategy to tackle the problem of asymmetric loads on wind turbines. Compared with traditional individual pitch control (IPC) methods, the proposed method achieves notable performance improvement on blade root and has stronger robustness in speed-varying wind fields.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Engineering, Electrical & Electronic
L. Chavarro-Barrera, S. Perez-Londono, J. Mora-Florez
Summary: This paper presents a two-stage adaptive approach to improve the generalization capability of load models obtained with the measurement-based modeling, using machine learning tools like decision trees and optimization algorithms. The approach outperforms conventional measurement-based load modeling in a modified CIGRE benchmark low voltage microgrid, demonstrating advantages for dynamic load modeling.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Computer Science, Information Systems
Miguel Gabriel Villarreal-Cervantes, Alejandro Rodriguez-Molina, Omar Serrano-Perez
Summary: The novel Asynchronous Adaptive Controller Tuning (AACT) approach proposed in this work aims to reduce the number of tuning process activations, promoting resource savings in computational cost. An event function is designed to determine control parameter updates, with an elitist initialization incorporated in the differential evolution algorithm. The study case is the speed regulation of a DC motor under disturbances, showing notable benefits in controller performance compared to state-of-the-art bio-inspired algorithms.
Article
Engineering, Biomedical
Gauri Shanker Gupta, Gunjan Bhavnesh Dave, Prabhat Ranjan Tripathi, Dusmanta Kumar Mohanta, Subhojit Ghosh, Rakesh Kumar Sinha
Summary: Brain-computer interface systems establish communication between brain signals and peripheral devices, utilizing algorithms based on EEG signals for feature extraction during motor imagery to control electric drives. The classifier achieved accuracy rates of 83.3%, 71.6%, and 78.3% in experiments, confirming the efficacy of the algorithm for practical applications.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Green & Sustainable Science & Technology
Shamik Bhattacharyya, Dattu Sampath P. Kumar, Susovon Samanta, Sukumar Mishra
Summary: The SOFT-MPPT algorithm proposed in this article aims to improve the steady-state and tracking performance of both P&O and InC algorithms by using adaptive step size and stopping artificial perturbations. It provides faster tracking performance and is able to detect changes in operating conditions without additional sensors. The algorithm restarts the tracking process to track the new MPP when operating in a steady state.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Nitesh Agrawal, Susovon Samanta, Subhojit Ghosh
Summary: This work investigates the control of the Proton-exchange membrane fuel cell integrated boost converter and designs two control methods to achieve desired performance and minimize errors, optimizing control energy. The transient performance of these control techniques is verified through numerical simulations and experimentation, and comparative state trajectories and overall efficiency analysis of the system are presented.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Energy & Fuels
Awagan Goyal Rameshrao, Ebha Koley, Subhojit Ghosh
Summary: The complexity of protection task in hybrid microgrid due to sensor placement and communication delay has been addressed through a low-cost protection scheme with optimal sensor placement and immunity against converter faults.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Automation & Control Systems
Anilkumar Chappa, Shubhrata Gupta, Lalit Kumar Sahu, Krishna Kumar Gupta, Hani Vahedi
Summary: This paper presents a fault-tolerant multilevel inverter (FTMLI) with an asymmetrical source configuration, which can tolerate faults and maintain output power and capacitor voltage balance. Experimental tests confirm the effectiveness and fault-tolerant feature of the proposed topology.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Prasanta Kumar Jena, Subhojit Ghosh, Ebha Koley
Summary: This study proposes a cost-effective framework for detecting physical, cyber, and cyber-physical attacks in the smart grid. By optimizing the selection of sensor locations and using secure sensor information, the scheme achieves high accuracy in attack detection and classification.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Awagan Goyal Rameshrao, Ebha Koley, Subhojit Ghosh
Summary: Detecting high impedance faults (HIF) is challenging in hybrid microgrids due to low fault current and nonlinear dynamics. This study proposes an LSTM-based protection scheme that is immune to weather intermittency and adaptive to network reconfiguration. Using statistical models and contingency data, the scheme improves adaptability to weather variation and changes in network topology. The scheme utilizes a limited set of critical sensors to avoid complex communication networks, sensor installation costs, and computational costs. Validation indicates that the proposed scheme provides reliable and accurate protection against N-1 contingencies and weather variations in diverse operating scenarios.
Article
Engineering, Electrical & Electronic
Tirupathi Rao Althi, Ebha Koley, Subhojit Ghosh, Sunil Kumar Shukla
Summary: Six-phase transmission lines can upgrade the power transfer capability of existing three-phase double circuit lines without major changes in transmission corridors. However, the protection scheme for six-phase systems is complicated due to a larger number of faults and harmonics intrusion. This article proposes a protection scheme based on a hybrid framework of bat algorithm and stacked sparse autoencoder-deep neural network (SAE-DNN) to overcome these challenges.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Manish Kumar Barwar, Lalit Kumar Sahu, Pallavee Bhatnagar, Prabhat Ranjan Tripathi
Summary: This paper proposes a sensorless self-balanced multilevel rectifier topology that maintains unity power factor in all operating conditions, and its effectiveness is validated through experimental results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Electrical & Electronic
Manish Kumar Barwar, Lalit Kumar Sahu, Prabhat Ranjan Tripathi, Pallavee Bhatnagar, Krishna Kumar Gupta, Allamsetty Hema Chander, Josep M. Guerrero
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Shivam Prakash Gautam, Manik Jalhotra, Lalit Kumar Sahu, Mano Ranjan Kumar, Krishna Kumar Gupta
Summary: Multilevel inverters are widely used in high-power applications such as industrial motor drives and renewable energy systems. However, the reliability of the system is compromised due to the large number of devices involved in the MLI design. To address this issue, researchers from around the world have been exploring methods to improve the dependability of MLI designs and incorporate fault-tolerant qualities, either through software or hardware. Redundancy has gained popularity as a method to enhance fault tolerance in solid-state transformer applications. The goal of this research is to provide a comprehensive understanding of the fault tolerance capabilities of MLIs developed by the research community in recent years.
Article
Engineering, Electrical & Electronic
Shivam Prakash Gautam, Manish Kumar Barwar, Lalit Kumar Sahu, Satyajit Mohanty, Santanu Kumar Dash, Kashem M. Muttaqi
Summary: This study introduces a novel bidirectional hybrid T-type converter configuration that utilizes a single capacitor and proposes a new switching strategy to facilitate seamless operation in buck and normal modes. The proposed architecture also exhibits power factor correction and capacitor voltage balance.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Engineering, Electrical & Electronic
Deep Shekhar Acharya, Sudhansu Kumar Mishra, Subrat Kumar Swain, Subhojit Ghosh
Summary: This article proposes a design method for a fractional order proportional-integral-derivative (PID) controller for stabilizing a second-order unstable magnetic levitation plant (MLP) with time delay. The proposed method involves estimating the lower and upper bounds of the controller gains using an extension of the Hermite-Biehler theorem and obtaining the optimal gains through a constrained optimization problem. The effectiveness of the method is validated through simulation and real-time experiments, and compared with other types of controllers.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Manish Kumar Barwar, Lalit Kumar Sahu, Prabhat Ranjan Tripathi, Pallavee Bhatnagar, Hema Chander Allamsetty, Krishna Kumar Gupta, Josep M. Guerrero
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2022)
