Article
Chemistry, Analytical
Song Wang, Bin Zhao, Shujuan Yi, Zheng Zhou, Xue Zhao
Summary: This study proposes an optimized fuzzy PID control strategy for electric-driven seeding using genetic particle swarm optimization (GAPSO). The simulation results demonstrate excellent control performance, while field experiments show that electric-driven seeding outperforms ground wheel chain sprocket seeding.
Article
Mathematics
Milan Hofreiter, Michal Moucka, Pavel Trnka
Summary: This paper presents a newly implemented self-tuning PID controller that utilizes a relay feedback identification method for determining the mathematical model of the process and adjusting the controller parameters. It demonstrates the applicability of the controller to various systems, including those with transport delays. The advantage of the relay method is its lower computational intensity, making it suitable for implementation on energy-efficient microcontrollers.
Article
Energy & Fuels
Maher G. M. Abdolrasol, Afida Ayob, Ammar Hussein Mutlag, Taha Selim Ustun
Summary: In this study, an optimized fuzzy logic controller (FLC) using particle swarm optimization (PSO) is employed to control the output of a photovoltaic system, which is supplied by an off-grid three-phase photovoltaic inverter. The PSO improves the membership functions (MFs) of the inverter by minimizing the mean square error (MSE) of the voltage at the output. The simulation and modeling using MATLAB/Simulink demonstrate the effectiveness of the proposed method in controlling the inverter's output, and the system has been tested under various load conditions, showing reliable performance.
Article
Automation & Control Systems
Dinh-Tu Nguyen, Jeng-Rong Ho, Pi-Cheng Tung, Chih-Kuang Lin
Summary: A hybrid PSO-GWO PID-type fuzzy logic controller with a new online fuzzy tuner is proposed for controlling a second-order system with varying parameters. The controller optimization is achieved by a hybrid PSO-GWO technique, which outperforms other methods (PSO, GWO, hybrid CS-GWO). The proposed controller shows superior system performance, shorter settling time/rise time, and better disturbance rejection in practical applications, making it highly feasible for nonlinear systems.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(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
Computer Science, Artificial Intelligence
Richa Sharma, Prerna Gaur, Shaurya Bhatt, Deepak Joshi
Summary: This study focuses on the development of a cost-effective lower limb exoskeleton for restoring normal gait in individuals with mobility disorders, stroke, or elderly persons. It uses the dragon fly algorithm to optimize the fuzzy logic control and compares it with genetic algorithm for closed-loop control design. Experimental data validation and robustness testing indicate the effectiveness of the proposed control strategies, especially in bipedal walking scenarios.
APPLIED SOFT COMPUTING
(2021)
Article
Mathematics, Applied
Kamran Sabahi, Chunwei Zhang, Nasreen Kausar, Ardashir Mohammadzadeh, Dragan Pamucar, Amir H. Mosavi
Summary: This paper proposes a method for tuning the input-output scaling factor of an interval type-2 fuzzy PID controller using a multi-objective optimization technique. The suggested controller is applied to the frequency regulation problem in microgrids, considering the effect of variations in renewable energy schemes and minimizing overshoot and achieving the desired settling/rising time.
Article
Computer Science, Information Systems
Baoyong Guo, Zhongjie Zhuang, Jeng-Shyang Pan, Shu-Chuan Chu
Summary: The PID controller is a classical controller with good performance, but its traditional parameter tuning relies on experience. Although the FMO algorithm mimics fish behavior, its optimization effect for PID control is not prominent. The FOFMO algorithm is proposed based on fractional calculus, which updates velocity and position in fractional-order forms, and introduces a new migration strategy to improve optimization performance for the PID controller.
Article
Energy & Fuels
Milan Hofreiter
Summary: This study introduces a new method for relay feedback identification suitable for PID controller tuning, which can determine frequency response points from a single experiment and is applicable for various stable, unstable, and integration processes with delays. Additionally, the method allows for parameter estimation of a second-order time-delayed model to derive PID controller settings.
Article
Engineering, Biomedical
Hany Hazfiza Manap, Ahmad Khairi Abdul Wahab, Fathiah Mohamed Zuki
Summary: This study evaluates the performance of conventional PID, FLC, and self-tuning FPID methods for controlling the rate of CO2 removal in extracorporeal blood purification. Results indicate that self-tuning FPID outperforms the other controllers with lower oscillation, overshoot, and shorter settling time, making it the best choice for both set point tracking and load disturbance rejection tests in automation of extracorporeal circulation control.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Automation & Control Systems
Debdoot Sain, B. M. Mohan
Summary: Center of Gravity (CoG) defuzzification is a well-known method in fuzzy systems, but its use in modeling fuzzy Proportional Integral Derivative (FPID) controllers is rare due to computational complexity. New FPID controller models using two-dimensional input space and CoG defuzzification have shown to produce effective control efforts.
Article
Engineering, Electrical & Electronic
Rishika Trivedi, Bharat Verma, Prabin K. Padhy
Summary: This article presents the tuning rules for fractional order PID controllers using Indirect Design Approach-1 to achieve adjustable robustness. The variability of tuning variable psi for stable and unstable processes is proposed, and simulations in MATLAB environment have validated the proposed methodology. The real-time experiment on level control of Canonical Tank demonstrates the practical viability and novelty of the proposed approach.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2021)
Article
Chemistry, Multidisciplinary
Ioana Paducel, Calin Ovidiu Safirescu, Eva-H Dulf
Summary: Renewable electricity generation, particularly wind usage, is being increasingly requested to replace other fuels. This study aimed to develop a suitable speed control method for wind power systems that maximizes power generation while reducing mechanical loads. The research compared different tuning methods to determine the most effective controller in terms of performance and system robustness.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Ilija Kamenko, Velimir Congradac, Filip Kulic
Summary: This paper presents a novel method for auto-tuning PID controllers using fuzzy logic inference system and expert knowledge. The proposed scheme improves the performance of the closed-loop system iteratively, using step response characteristics as performance measures.
Article
Chemistry, Multidisciplinary
Alaa Sheta, Malik Braik, Dheeraj Reddy Maddi, Ahmed Mahdy, Sultan Aljahdali, Hamza Turabieh
Summary: Quadrotor UAVs are popular due to their simple structure and propulsion, but their PID controllers exhibit complex non-linear dynamic behavior requiring advanced stabilizing control. Traditional tuning methods may not provide optimal control, leading to system instability, while using meta-heuristic algorithms like GAs, CSAs, and PSO can alleviate this issue. Using these algorithms can improve control performance and reduce the risk of damage to the system.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Biomedical
Hanjie Chen, Saptarshi Das, John Morgan, Koushik Maharatna
Summary: A low computational complexity arrhythmia classifier based on Phase Space Reconstruction is proposed in this study, achieving high accuracy in distinguishing various types of cardiac arrhythmias. The algorithm is evaluated and compared using different datasets, showing potential for real-time arrhythmia classification applications.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Energy & Fuels
Khawaja Haider Ali, Marvin Sigalo, Saptarshi Das, Enrico Anderlini, Asif Ali Tahir, Mohammad Abusara
Summary: This paper investigates the effectiveness of both offline and online RL approaches for optimizing battery operation in grid-connected microgrids, finding that online RL provides better results than offline RL when the difference between real and predicted data is greater than 1.6%.
Article
Biology
Hanjie Chen, Saptarshi Das, John M. Morgan, Koushik Maharatna
Summary: This paper proposes a novel method for predicting and classifying ventricular arrhythmias. The method has been validated using data from two open databases and showed promising results in terms of prediction time and accuracy. This method has the potential to advance technologies such as implantable cardioverter defibrillators and help prevent sudden cardiac death.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Automation & Control Systems
Deepak Kumar Panda, Saptarshi Das, Stuart Townley
Summary: This article investigates load frequency control in smart grids, focusing on utilizing energy storage elements and addressing cyber-physical system challenges such as packet drops and random time delays. A filtered PID controller is tuned using the PSO algorithm, and the performance is tested with synthetic and real profiles. The study quantifies the impacts of stochastic profiles on the stability and performance of the LFC loops under communication constraints.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Eric P. M. Grist, Trevelyan J. McKinley, Saptarshi Das, Tom Tregenza, Aileen Jeffries, Nicholas Tregenza
Summary: This article presents a simple and transparent non-parametric trend evaluation method called "Paired Year Ratio Assessment (PYRA)" for evaluating population trends in acoustic monitoring data for cetacean conservation. The study compares the performance of PYRA with traditional generalized additive models (GAMS) and nonparametric randomization tests, concluding that PYRA is a powerful tool for identifying population trends.
Article
Chemistry, Physical
Moutushi Dutta Choudhury, Saptarshi Das, Arun G. Banpurkar, Amruta Kulkarni
Summary: This study investigates the wetting characteristics of Polydimethylsiloxane (PDMS) polymer on different surfaces. Statistical models are developed to predict the temporal evolution of drying droplets with varying surface properties. The best statistical model is identified to capture the dynamics of drying droplets on hydrophobic surfaces with random roughness.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2022)
Article
Computer Science, Artificial Intelligence
Deepak Kumar Panda, Saptarshi Das, Stuart Townley
Summary: This paper applies machine learning methods to obtain the locational information of energy consumers based on their historical energy consumption patterns. The author tackles the issue of unbalanced classification problem for the dataset and uses Monte Carlo based under-sampling and genetic programming optimizer to optimize and compare the classification algorithms. The classification performance metrics are evaluated and the energy policy implications for urban and rural consumers are discussed.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Kaushik Halder, Deepak Kumar Panda, Saptarshi Das, Sourav Das, Amitava Gupta
Summary: This paper proposes a novel observer based networked PI controller for control systems considering bounded disturbance and measurement noise. The Lyapunov stability condition is derived using an asynchronous dynamical system approach to improve the quality-of-service and quality-of-control. The algorithm is validated on energy conversion systems and the experimental results demonstrate the effectiveness of the proposed method.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Mathematics, Interdisciplinary Applications
Saptarshi Das, Kaushik Halder
Summary: This paper proposes a new concept for designing PID controllers using dominant pole placement method and a derivative filter. By mapping the design onto the discrete time domain with a suitable sampling time, the continuous time delays can be converted into discrete time poles. The continuous-time plant and the filtered PID controller are discretized using the pole-zero matching method. Global optimization method is used to discover the stabilizable region and meet the pole placement conditions. Simulation results on test-bench plants demonstrate the validity and effectiveness of the proposed control design method.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Energy & Fuels
Khawaja Haider Ali, Mohammad Abusara, Asif Ali Tahir, Saptarshi Das
Summary: Real-time energy management in grid-connected microgrids is challenging due to intermittent renewable energy sources, load variations, and variable grid tariffs. This paper proposes a novel dual-layer Q-learning strategy, where the first layer produces directive commands offline using forecasted data, and the second layer refines these commands every 15 minutes by considering real-time changes in the RES and load demand.
Article
Energy & Fuels
Marvin B. Sigalo, Saptarshi Das, Ajit C. Pillai, Mohammad Abusara
Summary: The use of combined heat and power (CHP) systems has increased recently due to their high efficiency and low emissions. However, using CHP systems in off-grid applications can introduce challenges such as the need for load-following operation and the potential for lower efficiency and emissions during low loads. This paper proposes a real-time Energy Management System (EMS) using a combination of LSTM neural networks, MILP, and RH control strategy to optimize the dispatch of CHP and battery energy storage system (BESS). Simulation results show that the proposed method can prevent power export to the grid and reduce operational cost compared to offline methods.
Article
Multidisciplinary Sciences
Nivedita Bhadra, Shre Kumar Chatterjee, Saptarshi Das
Summary: In this paper, a statistical analysis pipeline is proposed to deal with a multiclass environmental stimuli classification problem using imbalanced plant electrophysiological data. Fifteen statistical features extracted from the plant electrical signals are used to classify three different environmental chemical stimuli and the performance of eight different classification algorithms is compared. The findings have potential real-world applications in precision agriculture for exploring multiclass classification problems with highly imbalanced datasets and advance existing studies on environmental pollution level monitoring using plant electrophysiological data.
Article
Chemistry, Analytical
Lamia Alyami, Deepak Kumar Panda, Saptarshi Das
Summary: A new method has been proposed to estimate the measurement noise covariance in COVID-19 pandemic data, using Bayesian model selection and the Extended Kalman filter. This method helps evaluate the accuracy of complex compartmental epidemiological models.
Article
Computer Science, Information Systems
Ezenwa Udoha, Saptarshi Das, Mohammad Abusara
Summary: This paper presents a novel structure and control scheme for interconnecting multiple standalone microgrids to a common AC bus. The proposed controller maximizes renewable power utilization and minimizes auxiliary power usage, providing better load support.
Proceedings Paper
Green & Sustainable Science & Technology
Christopher Sinclair, Saptarshi Das
Summary: This paper aims to use unsupervised machine learning, particularly k-means clustering, to analyze road accidents and understand relationships between variables. By describing clusters based on similarity measures in features, the study identifies differences between each cluster.
2021 INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND FUTURE ELECTRIC TRANSPORTATION (SEFET)
(2021)
