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20th IEEE India Council International Conference, INDICON 2023

作者： Singh, Pooja Sharma, Rahul Kumar Dhanalakshmi, Kaliaperumal National Institute of Technology Department of Instrumentation and Control Engineering Tiruchirappalli India

ISBN: (纸本)9798350305593

The problem of simultaneous estimation of model parameters and states is considered for a class of non-linear systems. The model of the system is expressed in linear parameterized form which contains explicit functions of unknown parameters. The model is used to design an adaptive observer to obtain the estimation of the states. At the same time, the unknown model parameters are estimated by using adaptive laws based on Sliding Mode control (SMC). The stability of the designed observer is proved by using the Lyapunov approach. The resulting error dynamics is exponentially stable with robustness to external disturbances. The estimated error variables remain ultimately bounded even in the presence of disturbances. Simulation results are presented by using the technique for the problem of estimating the model parameters and State-of-Charge (SOC) of Lithium-ion Battery. The accuracy of the estimated variables obtained through simulation results shows the effectiveness of the technique. © 2023 IEEE.

关键词： Adaptive Observer Parameter Estimation Sliding Mode control State Estimation State-of-Charge

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Adaptive Backstepping control of 2-DOF Helicopter System Under Parametric Uncertainty

Adaptive Backstepping Control of 2-DOF Helicopter System Und...

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2023 International Conference on Power, instrumentation, control and Computing, PICC 2023

作者： Uddin, Md Imtiyaz Sharma, Rahul Kumar Kumar, Ram Deenadayalan, Ezhilarasi National Institute of Technology Department of Instrumentation and Control Engineering Tiruchirappalli India

ISBN: (纸本)9798350334463

The work presented in this paper is based on the design of adaptive backstepping control for a class of systems under parametric uncertainty. It considers 2-Degrees-Of-Freedom (2-DOF) helicopter system which is Multi-Input Multi-Output (MIMO) system with non-linearities, uncertainties and coupled dynamics. The uncertain parameters are estimated by using adaptive laws. The estimated parameters are used in the design of the control law. The resulting closed-loop system with the designed control law is robust with respect to the uncertain parameters of the system. The stability of the system is proved theoretically. Simulation and experimental results illustrate the effectiveness of the proposed technique. © 2023 IEEE.

关键词： Closed loop systems

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Image Registration using Shi-Tomasi and SIFT 2

Image Registration using Shi-Tomasi and SIFT

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2nd International Conference for Innovation in technology, INOCON 2023

作者： Patankar, Sanika S Kadam, Sara Ganesh Jadhav, Aishwarya Gore, Maitrayee Vishwakarma Institute of Technology Department of Instrumentation and Control Engineering Pune India

ISBN: (纸本)9798350320923

The procedure of merging data from various sources into a single reference system/ reference frame is known as 'Image Registration'. The data can be images taken from the sensors, multiple different images taken from different angles, images from different lapses of time, images from a different point of view/frame of reference, etc. This type of data is used in numerous applications such as medical imaging, computer vision, target detection in the military, analyzing and processing of satellite data, etc. To merge and differentiate this data obtained from various different sources, image registration is used. This paper introduces two algorithms well-balanced together for image registration. The two algorithms used are Shi-Tomasi Corner Detection Algorithm and Scale-Invariant Feature Transform (SIFT) Algorithm. The Shi-Tomasi Corner Detection Algorithm issued by *** and *** in the year 1994 is used for the corner detection in the reference image. The Scale-Invariant Feature Transform (SIFT) Algorithm is used for searching, outlining and equivalenting the corners/features in the images. The average error obtained after the estimation of the TRS for, Translation of (500,500), Rotation of angle -10, and Scale of 0.7 is θ=0.18%, Δx=17.14% Δ y=7.69%,S=0.01%, and the average error obtained after the estimation of the TRS for, Translation of (500,500), Rotation of angle 10 and Scale of 0.8 is Θ=0.14%Δx=10.76%Δy=7.95%,S=0.01% © 2023 IEEE.

关键词： Image registration

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A comparative study for the estimation of Global solar radiation using different input variable selection techniques

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Materials Today: Proceedings 2023年 80卷 207-211页

作者： Gupta, Shubham Kumar Singh, Amit Department of Instrumentation and Control Engineering Dr. B R Ambedkar National Institute of Technology Jalandhar 144011 India

Better utilization of solar energy applications is possible if solar radiation prediction is made more accurate. Many prediction models were developed from time to time. In this study, an easy and convenient demonstration has been presented to reduce the model complexity with high accuracy in the predicted values. PCA, ANN, ANFIS, and other techniques were discussed in this paper to pre-process the input data. How conveniently do these techniques apply to row data sets to reduce the model complexity? A comparison shows how the model performance degrades due to the use of the large variables data set as well as the removal of key elements. So, this study shows the necessity and importance of pre-processing data and identification of the most significant variables. © 2022

关键词： Solar radiation

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Smart Ventilation Bag with Adjustable Oxygen Range and Automated Pressure Regulation 3

Smart Ventilation Bag with Adjustable Oxygen Range and Autom...

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3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Saisukirtha, S. Omprakash, M. Shane Steffy, S. Dilip Kumar, S. Department of Instrumentation and Control engineering Sri Krishna College of Technology Coimbatore India Department of Electrical and Electronics engineering Sri Krishna College of Technology Coimbatore India

ISBN: (纸本)9798331527549

The necessity of effective and scalable respiratory support systems in emergency and critical care settings was brought to light by the COVID-19 pandemic. Despite their widespread use, manual ventilation bags pose difficulties in guaranteeing steady airflow, tidal volume, and real-time patient needs adaptation, particularly when healthcare professionals use them for extended periods of time. Manual Ambu bags limitations in sustaining a steady oxygen supply and pressure. This paper presents a new design for a" Smart Ambu Bag," which combines an automated pressure regulation system with an adjustable oxygen concentration range. The system seeks to improve accuracy and patient outcomes by addressing the difficulties associated with manual ventilation in emergency situations. Creating a Smart Ventilation Bag with automated pressure adjustments and real-time oxygen monitoring is the primary goal. The Smart Ventilation Bag an oxygen sensor is integrated into the air mix to measure the oxygen content according to the patient’s needs. The Smart Ventilation Bag has the potential to close the gap between accessibility and performance, especially in environments with limited resources, according to a comparison with current manual and automated ventilators during COVID-19 scenarios. Results from simulations and experiments show better patient outcomes, less caregiver fatigue, and more consistent ventilation delivery. The study emphasizes how the Smart Ventilation Bag can help increase the capacity for respiratory care in emergency situations, opening the door for more affordable and scalable respiratory support options. © 2025 IEEE.

关键词： Oxygen sensors

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Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2023年第12期10卷 2233-2247页

作者： Hongyu Ding Yuanze Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang the Department of Control Science and Intelligence Engineering School of Management and EngineeringNanjing UniversityNanjing 210093China the Department of Power Engineering and Process Machinery School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China IEEE

Goal-conditioned reinforcement learning(RL)is an interesting extension of the traditional RL framework,where the dynamic environment and reward sparsity can cause conventional learning algorithms to *** shaping is a practical approach to improving sample efficiency by embedding human domain knowledge into the learning *** reward shaping methods for goal-conditioned RL are typically built on distance metrics with a linear and isotropic distribution,which may fail to provide sufficient information about the ever-changing environment with high *** paper proposes a novel magnetic field-based reward shaping(MFRS)method for goal-conditioned RL tasks with dynamic target and *** by the physical properties of magnets,we consider the target and obstacles as permanent magnets and establish the reward function according to the intensity values of the magnetic field generated by these *** nonlinear and anisotropic distribution of the magnetic field intensity can provide more accessible and conducive information about the optimization landscape,thus introducing a more sophisticated magnetic reward compared to the distance-based ***,we transform our magnetic reward to the form of potential-based reward shaping by learning a secondary potential function concurrently to ensure the optimal policy invariance of our *** results in both simulated and real-world robotic manipulation tasks demonstrate that MFRS outperforms relevant existing methods and effectively improves the sample efficiency of RL algorithms in goal-conditioned tasks with various dynamics of the target and obstacles.

关键词： Dynamic environments goal-conditioned reinforcement learning magnetic field reward shaping

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Revolutionizing Biomedical engineering with Microcontroller Applications: A Comprehensive Review 3rd

Revolutionizing Biomedical Engineering with Microcontroller ...

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3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Pawase, Chinmay D’Souza, Sandra Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India

ISBN: (纸本)9789819784288

This far-reaching study paper blends bits of knowledge from selected vital papers, featuring the instrumental job of microcontrollers in raising medical care diagnostics and checking. Microcontrollers, high level coordinated circuits with implanted handling capacities, are vital apparatuses for exact information procurement, top to bottom examination, and complex control frameworks, empowering momentous advancement in biomedical designing. The reconciliation of microcontrollers has become imperative for creating inventive clinical gadgets and analytic apparatuses as medical services progress. These conservative, superior stages are sent in different applications, from wearable wellbeing screens following imperative signs to implantable gadgets controlling insulin levels and supporting cardiovascular capabilities. They likewise assume a critical part in overseeing complex information streams, guaranteeing consistent transmission and capacity of patient data. The considered papers highlight microcontroller’s adaptability and effect in the biomedical field, upgrading analytic apparatus precision and unwavering quality, encouraging patient commitment and autonomy, and further developing medical care administrations. This paper has immensely encouraged in understanding the concepts gathered during the Microcontroller course and it gives a strong research base in the field of Microcontrollers. Microcontrollers have changed medical care by propelling diagnostics and observing accuracy, effectiveness, and availability. The cooperative energy among microcontrollers and biomedical applications has developed wonderful progressions for patients and medical care suppliers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Diagnosis

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Modelling and Simulation of Three Phase Quasi-Z Source Inverter using SBPWM at Varying Shoot through Duty Ratio 15

Modelling and Simulation of Three Phase Quasi-Z Source Inver...

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15th International Conference on Advances in Computing, control, and Telecommunication Technologies, ACT 2024

作者： Bashir, Yasir Tiwari, Sheela Verma, Ravi Department of instrumentation and control engineering Dr BR Ambadkar National Institute of technology Jalandhar india India

ISBN: (纸本)9798331300579

The inverter studied and simulated in this paper is a 3-phase-quasi-z-source inverter. It is preferred due to certain qualities like its simple structure and because of having a continuous input current, common ground and shoot through state. Traditional inverters don't have the shoot-through condition. If both the switches are operated at a time, short circuit occurs and circuit gets damaged. So we need to give dead time in traditional inverters. This results in more total harmonic distortion. In this paper we have studied a topology of Quasi-z-source inverter (qZSI) to analyse the effect of Shoot-Through Duty Ratio (D) variation on the output voltage. The results are obtained using MATLAB/SIMULINK, suitable plots and waveforms are drawn using the said results to investigate the change in output voltage with the change in shoot-through duty ratio. The advancement in quasi Z-source topology will be continuously improving the performance of electronic equipments in various applications because of its buck boost ability with least components and less cost. The fields on which it has maximum influence include aerospace, home appliances and power generation (solar, wind, etc). © Grenze Scientific Society, 2024.

关键词： Time switches

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Secondary Droop control Supported Cascaded PR controller for SCIM-Based Water Pumping System 4

Secondary Droop Control Supported Cascaded PR Controller for...

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4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Verma, Akash Deep Gaur, Prerna Tomar, Anuradha Netaji Subhas University of Technology Instrumentation & Control Engineering Department Delhi India Netaji Subhas University of Technology Electrical Engineering Department Delhi India

ISBN: (纸本)9798350383997

The squirrel cage induction machine (SCIM) based water pumping system (WPS) remains a cost-effective and robust option compared to other alternatives. However, the voltage-to-frequency-based controllers and direct-on-line (DOL) start of SCIM within solar PV-based microgrids (MGs) result in voltage dips and harmonic disturbances. Hence, other electrical applications can't be used in parallel. The SCIM needs a dedicated system that increases the overall cost. Hence, maintaining load voltage and frequency constant in a power system with IEEE 519 standards is very critical with a SCIM-based WPS. To address this issue, a secondary droop-control supported cascaded proportional resonant (CPR) controller has been proposed and tested for a three-phase voltage source inverter (VSI) in a grid-interactive solar PV system for SCIM-based WPS. The objective is to keep constant load voltage and frequency with enhanced power quality as per IEEE 519 standards and optimize power management so that other applications can also be used in parallel with the same controller. Additionally, a 'Grid-Start Grid-Run' mode has been discussed to protect solar modules from over-current during the DOL start of the WPS. The DC link voltage is regulated to ensure the motor torque and speed remain within specified operational parameters. The proposed control is stable, robust, and cost-effective, offering the flexibility to operate in islanded mode when necessary. © 2024 IEEE.

关键词： Squirrel cage motors

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Comparative Analysis of RUL and SOH Prediction Algorithms using Machine Learning Techniques 4

Comparative Analysis of RUL and SOH Prediction Algorithms us...

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4th International Conference on Advancement in Electronics and Communication engineering, AECE 2024

作者： Gupta, Manvi Arya, Archie Varshney, Uday Mittal, Jishnu Tomar, Anuradha Netaji Subhas University of Technology Electrical Engineering Department Delhi India Netaji Subhas University of Technology Instrumentation and Control Engineering Department Delhi India

ISBN: (纸本)9798350364729

This study explores data-driven methodologies for State of Health (SOH) and Remaining Useful Life (RUL) prediction of lithium-ion batteries, vital for electric vehicle (EV) adoption. Leveraging NASA and Oxford Battery Degradation datasets, advanced state of the art machine learning techniques like LSTM networks and Transformers and Gated Recurrent Unit (GRU) are integrated to develop and validate a predictive model. Challenges such as non-linear behavior and limited data are addressed with a novel neural network. A comprehensive literature review along with comparative analysis is done to assess the better performing model and it's strengths compared to others. The study advances battery health prediction technologies, enhancing EV battery reliability and efficiency. © 2024 IEEE.

关键词： Lithium-ion batteries

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