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4th International Symposium on instrumentation, control, Artificial Intelligence, and Robotics, ICA-SYMP 2025

作者： Subhagandha, Thanachok Boksuwan, Sungwan Instrumentation and Control Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9798331505400

The Heat Exchange Recirculating Mash System (HERMS) is widely used in craft brewing to maintain precise temperature control during the mashing process, which is crucial for achieving optimal sugar extraction and mash efficiency. This study investigates the performance of four different temperature control strategies-P, P-logic, PI, and PID-in maintaining the desired mash temperature profile. The system was modeled using both First-Order Plus Delay (FOPD) and Second-Order Plus Delay (SOPD) models to optimize controller gains through Skogestad's method. Validation of the control strategies was conducted through simulations in MATLAB Simulink. The results showed that while P-logic control maintained stable temperature with 0% overshoot, PI and PID controllers achieved the same with only 30% input energy, compared to 100% used by P-logic. A real-world mashing is conducted with P-logic control. Wort quality was also assessed, with specific gravity, pH, and mash efficiency analyzed. This study highlights the trade-offs between control precision and energy consumption, providing valuable insights for improving HERMS system efficiency in both homebrewing and commercial applications. © 2025 IEEE.

关键词： Three term control systems

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Bearing Fault Detection Using Autoregressive Modeling 1

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control instrumentation System Conference, CISCON 2023

作者： Patankar, Sanika S. Kamalapure, Prithiviraj Dayanand Department of Instrumentation and Control Engineering Vishwakarma Institute of Technology Maharashtra Pune India

ISBN: (数字)9789819758661

ISBN: (纸本)9789819758654

Typical components of rotating machinery include bearings with rolling parts. Vibration analysis is widely used to assess the overall health and condition of spinning machinery. To achieve exceptionally dependable operations, finding faults is crucial. The vibration signals can be used to ascertain the health and status of the bearing. Bearing faults in rotating machinery can lead to serious operational issues and result in costly downtime and maintenance. To avoid unexpected failures and maximize maintenance plans, early diagnosis and detection of bearing defects are essential. A novel approach for bearing fault detection using autoregressive (AR) modeling is presented in this paper. The AR model effectively identifies the bearing faults by capturing the dynamic behavior of bearing vibration data. Experimental results indicate that the proposed method of the autoregression technique exhibits excellent results in comparison to the Fast Fourier Transform technique in identifying various bearing faults. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Rotating machinery

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Hippopotamus Optimization Based PID controller Design for LFC of Microgrid Under Cyber and Time Delay Attack 4

Hippopotamus Optimization Based PID Controller Design for LF...

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

作者： Altaf, Aatif Kumar, Mahendra Biswas, Deblina Dr B R Ambedkar National Institute of Technology Jalandhar Department of Instrumentation and Control Engineering Punjab Jalandhar India

ISBN: (纸本)9798350383997

This paper proposes Hippopotamus Optimization (HO) based PID controller design for load frequency control (LFC) of microgrid under cyber and time delay Attack. With increasing demand for energy due to limited conventional sources and population growth has led to the restructuring of current electricity grid to incorporate renewable energy sources (RES). However, RESs irregularities pose significant technical barriers for stable, and reliable microgrid (MG) operation. These irregularities cause deviation in system frequency. To maintain system frequency at a pre-specified value, a load frequency controller is required. In today's power systems, communication networks play a crucial role, but they also pose a risk of cyberattacks. A new optimization algorithm called Hippopotamus Optimization algorithm (HOA) has emerged, inspired by nature, offering advantages in global optimization and requiring lesser design parameters. The proposed approach will be used to address challenges such as parametric uncertainty (PU), cyber and time delay attacks, and random load demand. Simulation studies have been demonstrated under different practical scenarios. © 2024 IEEE.

关键词： Three term control systems

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Image Registration Guided Brain Tumour Segmentation and Advancements

Image Registration Guided Brain Tumour Segmentation and Adva...

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2024 International Conference on Innovations and Challenges in Emerging Technologies, ICICET 2024

作者： Mundada, Kapil Badgujar, Mayur Sarde, Atharva Athalye, Gargee Kulkarni, Jayant Vishwakarma Institute of Technology Department of Instrumentation & Control Engineering Maharashtra Pune India

ISBN: (纸本)9798350319019

In the field of medical imaging, detecting brain tumors through image registration poses a formidable challenge. Automated tools play a vital role in non- invasively identifying and documenting tumors. Significant advancements in medical image processing, facilitated by advanced image registration techniques, have greatly contributed to improved brain tumor detection. Based on such techniques this study discusses image registration-based brain tumor segmentation and their advancements. This experimental validation is performed with MRI images of 100 patients from BraTS2020 (Brain Tumor Segmentation) dataset, it involves training models without registered images (35 epochs) and with registered images (20,35 and 40 epochs). This research presents a unique image registration approach that sets it apart from existing methods by employing the Gradient Descent Linear Search algorithm for optimization and using Mutual Information as the Similarity Metric, our method demonstrates superior performance compared to conventional techniques. The integration of Linear Interpolation, 3D Euler Transformation, and Advanced Resampling distinguishes our work, further providing a more comprehensive and accurate solution for multi- dimensional image alignment. © 2024 IEEE.

关键词： Image registration

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Passive UHF RFID-based sensor: Influence of electrical conductivity and localized surface cracks on industrial-grade metal specimens

Passive UHF RFID-based sensor: Influence of electrical condu...

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2024 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2024

作者： Suresh, Setti Chakaravarthi, Geetha Applied Electromagnetics Laboratory Department of Instrumentation and Control Engineering National Institute of Technology Tamil Nadu Tiruchirappalli620015 India

ISBN: (纸本)9798350379693

Early detection and localization of initial-phase surface cracks on metal structures is critical, as they can propagate and severely compromise the structural integrity of bridges, pipelines, rail, and aerospace structures. This paper presents the study of a passive wireless RFID-based crack sensor for in-situ surface crack detection on industrial-grade metal specimens of varying conductivity. A circular-shaped, symmetrical microstrip antenna-based RFID crack sensor was designed in the Ansys HFSS tool operating in the UHF region. Simulation analysis was performed for varying surface crack depths and widths in millimeter resolution for the most commonly used Aluminum Alloy 6061 and Hot-Rolled Steel 1084 grade metal specimen. It is observed that the sensor resonant frequency variation is different for varying crack depths and widths and also for varying metal specimen grades. Preliminary no-crack measurement results illustrate that the sensor RSSI and Phase change values are sensitive with respect to changes in metal specimen conductivity. It is observed that upon calibration, the sensor crack detection capability can be leveraged to diverse industrial-grade metal specimens. © 2024 IEEE.

关键词： Hot rolling

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A**: A bidirectional approach based on analytical treatment to conventional A* for the smooth and fast trajectory planning

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International Journal of Information technology (Singapore) 2023年第4期15卷 2173-2185页

作者： Singh, Raj Kumar Nagla, K.S. Instrumentation and Control Engineering Department Dr B.R. Ambedkar National Institute of Technology Jalandhar India

Path optimization is a crucial problem in unmanned vehicles. A* algorithm is one of the conventional and reliable path planning algorithms;however, during experimental analysis, it is observed that the path selected by the algorithm is not optimal because the selected trajectory contains a high number of sharp turns with time lag. These sharp turns put a significant delay in the mobile robot’s navigation to reach the destination. Because of these sharp heading angles, the mobile robot must adjust for the optical trajectory tracking. A** based on the experimental investigation of conventional A* technique is proposed that always selects the shortest path with a smooth trajectory to reach the destination. The algorithm proposed in this research not only recommends the shortest path to reach the destination, but it also selects the trajectory having least sharp turns that resulted in timed navigation of an unmanned vehicle. With the implementation of proposed A** algorithms in real world experiment, the sharp turn in the trajectory is reduced to 13.25% with respect to conventional A*, which resulted in increasing the acceleration of mobile robot by 5.7% (cm/sec²) and the mobile robot take 15.1 s lesser time to reach the destination. This technique is quite applicable for various mobile robot applications such as path planning/shortest path selection, autonomous navigation, trajectory planning, etc. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's institute of Computer Applications and Management.

关键词： Mobile robot Path planning Robotics Sensors Smooth and fast trajectory planning

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Current Developments in Cuff-Free Non-invasive Continuous Blood Pressure Estimation Using Photoplethysmography

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Biomedical Materials and Devices 2024年第2期2卷 743-758页

作者： Sarkar, Somen Pahuja, Sharvan Kumar Department of Instrumentation and Control Engineering Dr. B. R. Amabedkar National Institute of Technology Punjab Jalandhar 144008 India

Continuous Blood Pressure monitoring is an important topic of research to improve healthcare sector worldwide. Complexity of blood pressure mechanism makes non-invasive acquisition task more difficult. Further, existing BP monitors are not user friendly, and trainer is needed for accurate BP estimation. Because of numerous drawbacks in existing blood pressure monitors, several authors suggest mathematical model using PPG and other physiological signal. Recent developments in Artificial Neural Network, machine learning, and deep learning algorithm increased the precision of predicted blood pressure. These methods are highly reliable for mobile health and wearable technology. Still, there are bunch of options to study in this domain and develop a robust wearable device to estimate continuous blood pressure as well as classify hypertension more precisely. The purpose of this work is to look at some of the most important studies, their approaches, existing device based on these approaches, the reliability of these devices, and suggested solutions for improving the findings. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC 2024.

关键词： Continuous blood pressure monitoring Machine learning Photoplethysmography Wearable device

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Modelling, analysis and control of bidirectional SEPIC converter for energy storage applications

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International Journal of Power Electronics 2023年第3期17卷 299-332页

作者： Ghosh, Arnab Meher, Jayadev Sonar, Santosh Banerjee, Subrata Department of Electrical Engineering National Institute of Technology Rourkela Rourkela769008 India Department of Electrical and Instrumentation Engineering Thapar Institute of Engineering and Technology India Department of Electrical Engineering National Institute of Technology Durgapur Durgapur713209 India

Energy storage systems appear to be a very promising field of research for the rapidly increased requirements of the applications of renewable sources in daily life. The DC-DC bidirectional converters (BDCs) are globally known for their versatile applications in battery chargers, electric vehicles (EVs), solar PV modules with energy storage systems, smart/microgrid, telecommunication systems, etc. Such demanding applications are mostly essential for suitable bidirectional converters for delivering the energy in both directions. In this work, the closed-loop analysis, modelling and control of a DC-DC bidirectional SEPIC converter with classical controllers [such as proportional integral derivative (PID) controller, type-II controller and type-III controller] and advanced controller [such as internal model controller (IMC)] are demonstrated. The bidirectional SEPIC converter has been modelled here by using the state-space averaging (SSA) method. It is noticed that the bidirectional converter with IMC shows better controlling action compared to other classical control algorithms for its better steady state and transient responses. Finally, experimental verification of proposed closed-loop converter control is performed. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Energy storage

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Design and implementation of a mixer for different physical and chemical properties liquid-liquid mixing and mixing performance evaluation with a UV-Visible spectrophotometer

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Materials Today: Proceedings 2022年 57卷 1677-1681页

作者： Ohol, R.M. Vasuki, B. Department of Instrumentation & Control Engineering National Institute of Technology Tamil Nadu Tiruchirappalli620015 India

The present work represents a minifluidic active mixer for different properties of liquid mixing. It consists of the SP-5H piezoelectric patch pasted on an Aluminium beam. The patch, in combination with the Aluminium beam, acts as a piezoelectrically vibrating beam. When the patch is excited by a suitable voltage, it starts vibrating, and the generated vibration energy moves from the beam to the test liquid inside the tank. It results in the circulation of liquid in all directions robustly. Adequate liquid-liquid mixing occurs in the tank, even in the inner side of the tank. The study elaborates the mixing of aqueous-alcohol and aqueous-alcohol-viscous solutions. Solutions of different dye concentrations in the solvent, deionized (DI) water and ethanol, were mixed through the proposed technique. A UV-Visible spectrophotometer measured the unmixed and mixed solution's absorbance values at the maximum absorptivity λmax. Absorbance of unmixed 5 mg l−1 aqueous methyl red and 10 mg l−1 alcohol based bromothymol blue solutions were 0.065, 0.598 at 410 and 431 nm, respectively and after mixing, the absorbance of the mixed solution was 0.029 and 0.032 at 410 and 431 nm. Likewise, viscous liquid glycerin was mixed in an aqueous and alcohol based dye solutions. © 2021

关键词： Absorbance

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Retrofittable Air Cell Cushion for Pressure Ulcer Protection using Piezo-Resistive Pressure Sensing 11

Retrofittable Air Cell Cushion for Pressure Ulcer Protection...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Yadhu, B. Sanjana, C. Raamanujan, C. Dharshan, S. Chaudhari, Labhesh Dharsini, S. Maithreyan, G. National Institute of Technology Department of Production Engineering Tiruchirappalli India National Institute of Technology Department of Mechanical Engineering Tiruchirappalli India National Institute of Technology Department of Instrumentation and Control Engineering Tiruchirappalli India

ISBN: (纸本)9798350308105

Pressure ulcers are painful sores that occur by exposure to high-pressure points for a considerable time. This leads to a restriction in blood flow and tissue necrosis. In this work, A retrofittable sensor-integrated air cell-based cushion system was developed to address the issues. The system consists of an air cell array, a honeycomb-like cushion, a pneumatic control unit, and a resistance-based pressure sensor array. The prototype consists of 256 pressure cells on a 17- cm×22-cm sheet, which is flexible in two dimensions. High-pressure point detection and automatic unloading were carried out to address newly produced pressure places, followed by redistribution. Offloading and redistribution with pressure mapping enabled can objectify control of loading magnitude and duration impacts at the seated interface. © 2023 IEEE.

关键词： Pressure sensors

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