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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Zaery, Mohamed Amrr, Syed Muhammad Suhail Hussain, S.M. Abido, Mohammad A. Control & Instrumentation Engineering Department Dhahran31261 Saudi Arabia K.A.CARE Energy Research & Innovation Center Dhahran31261 Saudi Arabia King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Sustainable Energy Systems Dhahran31261 Saudi Arabia Electrical Engineering Department Dhahran31261 Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350376067

This study delves into the necessity of advanced control systems in islanded DC microgrids (MGs), emphasizing the challenges posed by the intermittency of renewables and fluctuating loads. This paper proposes a distributed prescribed performance based fixed-time (PPF-FxT) control strategy that facilitates optimal load allocation across various distributed generators (DGs) of islanded DC MGs within a predetermined settling period, irrespective of initial conditions. Incorporating a prescribed performance function ensures both the transient and steady-state behaviors conform with the predefined criteria, thereby elevating MG's operational reliability and efficiency. The proposed control's efficacy is confirmed through detailed stability analysis and demonstrated across multiple case studies, showing its adaptability and efficiency under different conditions. © 2024 IEEE.

关键词： Decentralized control

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Sliding Mode control of Non-Minimum Phase Autonomous Underwater Vehicles in the Dive Plane

Sliding Mode Control of Non-Minimum Phase Autonomous Underwa...

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OCEANS

作者： Gauravi Pore Machhindranath Patil Leena Vachhani Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Department of Instrumentation Engineering V.E.S Institute of Technology Mumbai India

This paper shows that the torpedo-type Autonomous Underwater Vehicle (AUV) exhibits the non-minimum phase behavior in the depth control operation for a certain range of forward velocity. Contributions in this paper are (i) Transform AUV's 6 DOF dynamic model in a diving plane to the normal form. (ii) A method to determine the range of the forward surge velocity for which zero dynamics is unstable. Understanding the non-minimum phase behavior provides insight into the controller designs in the future, specifically for the identified ranges of the forward surge velocities.

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Robust High Gain control for Uncertain Hybrid Powertrain systems in Fuel Cell Electric Vehicles

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Transportation Research Procedia 2025年 84卷 400-407页

作者： Md Samiullah Syed Muhammad Amrr Ali T. Al-Awami Mahmoud S. AbouOmar Sami El Ferik Interdisciplinary Research Center for Smart Mobility and Logistics KFUPM Dharan Saudi Arabia Control and Instrumentation Engineering Department KFUPM Dharan Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) KFUPM Dharan Saudi Arabia Electrical Engineering Department KFUPM Dharan Saudi Arabia

This paper investigates the dynamics of a hybrid power system (HPS) and powertrain configurations in a fuel cell electric vehicle (FCEV), emphasizing its nonlinear behavior. The study focuses on a hybrid powertrain setup comprising a fuel cell (FC) as the primary source, complemented by an ultracapacitor (UC) and a battery as auxiliary sources, each subject to uncertainties. The system incorporates DC/DC boost converters linking the FC to the DC-Link, and bi-directional converters connecting the UC and battery to the DC-Link. Dynamic models are developed to capture the nonlinear characteristics of the subsystems. The primary goal is to develop a controller capable of simultaneously managing the DC/DC converters amidst uncertainties. A nonlinear control strategy based on Lyapunov theory is proposed to regulate the DC-link voltage and accurately track currents from the sources. The study ensures closed-loop stability under different operating conditions and uncertainties. Simulation results in MATLAB validate the efficacy of the proposed controllers, justifying the UC and battery’s ability to meet load demands and enhance fuel cell performance.

关键词： PEM Fuel cell Energy Management DC-DC converter Stability Uncertain system Lyapunov theory

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An Assessment of Indian Smart Grid Pilot for Selection of Best-Fit Communication Technology 2nd

An Assessment of Indian Smart Grid Pilot for Selection of Be...

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2nd Electric Power and Renewable Energy Conference, EPREC 2021

作者： Bhatt, Jignesh Jani, Omkar Harish, V.S.K.V. Department of Instrumentation and Control Engineering Faculty of Technology Dharmsinh Desai University Nadiad387001 India Kanoda Energy Systems Pvt. Ltd. Ahmedabad380015 India Department of Electrical Engineering School of Technology Pandit Deendayal Energy University Gandhinagar382007 India

ISBN: (纸本)9789811669699

One of the most frequently encountered challenges for smart grid designers is a selection of best-fit communication technology. Each smart grid project is diverse owing to variances in its geography and categorization, vulnerability to weather changes, customer profile and choice, and other factors, but it is primarily defined by the smart grid applications deployed. Robust and quick data transfer is required for trustworthy smart grid operation and successful operation of installed applications, which mandates an optimal and best-fit communication technology selection. This paper discusses an approach for optimizing selection of wireless technologies for smart grid projects. An example of Guwahati city smart grid pilot in India has been used as case study to exemplify the presented approach. The practical usefulness of the work presented is evident on account of its simplicity and versatility. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smart power grids

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A Convolutional Neural Network Model for Privacy-Sensitive Ultra-Wideband Radar-Based Human Static Posture Classification and Fall Detection

A Convolutional Neural Network Model for Privacy-Sensitive U...

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IEEE/SP Workshop on Statistical Signal Processing (SSP)

作者： Khirakorn Thipprachak Poj Tangamchit Sarawut Lerspalungsanti Department of Control Systems and Instrumentation King Mongkut's University of Technology Thonburi Bangkok Thailand Department of Control Systems and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand National Metal and Materials Technology Center National Science and Technology Development Agency Pathum Thani Thailand

A reliable fall detection system can enhance the safety of senior citizens by detecting falls in private areas, such as restrooms, where accidents may go unnoticed. This study aimed to create a static human posture recognition system with a possibility of extension for detecting falls in private areas. The system used ultra-wideband (UWB) sensors to detect human body gestures and analyze an individual's posture to determine a laydown posture, which is abnormal in restroom usage. UWB is capable of protecting human privacy because its output contains limited information. This study implemented a convolutional neural network (CNN) model that classified signals from an ultra-wideband sensor in a bathroom into four categories: standing, sitting, lying down, and nobody. This paper proposes a CNN classifier with an overall accuracy of 93%. These results demonstrate the capability of the proposed system to recognize static human posture in private locations.

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Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise

arXiv

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arXiv 2024年

作者： Liao, Jing-Xiao He, Chao Li, Jipu Sun, Jinwei Zhang, Shiping Zhang, Xiaoge Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing China

Blind deconvolution (BD) has been demonstrated as an efficacious approach for extracting bearing fault-specific features from vibration signals under strong background noise. Despite BD's desirable feature in adaptability and mathematical interpretability, a significant challenge persists: How to effectively integrate BD with fault-diagnosing classifiers? This issue arises because the traditional BD method is solely designed for feature extraction with its own optimizer and objective function. When BD is combined with downstream deep learning classifiers, the different learning objectives will be in conflict. To address this problem, this paper introduces classifier-guided BD (ClassBD) for joint learning of BD-based feature extraction and deep learning-based fault classification. Firstly, we present a time and frequency neural BD that employs neural networks to implement conventional BD, thereby facilitating the seamless integration of BD and the deep learning classifier for co-optimization of model parameters. Specifically, the neural BD incorporates two filters: i) a time domain quadratic filter to utilize quadratic convolutional networks for extracting periodic impulses;ii) a frequency domain linear filter composed of a fully-connected neural network to amplify discrete frequency components. Subsequently, we develop a unified framework to use a deep learning classifier to guide the learning of BD filters. In addition, we devise a physics-informed loss function composed of kurtosis, l2∕l4 norm, and a cross-entropy loss to jointly optimize the BD filters and deep learning classifier. Consequently, the fault labels provide useful information to direct BD to extract features that distinguish classes amidst strong noise. To the best of our knowledge, this is the first of its kind that BD is successfully applied to bearing fault diagnosis. Experimental results from three datasets demonstrate that ClassBD outperforms other state-of-the-art methods under noisy conditions

关键词： Feature extraction

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Geometric Approach for Disturbance Decoupling in Speed control of PMSM

Geometric Approach for Disturbance Decoupling in Speed Contr...

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International Conference on Automation, Signal Processing, instrumentation and control, i-CASIC 2020

作者： Srinivasan, Kanthalakshmi Soundirarajan, Navaneethan Baggio S, Aandrew Department of Electrical and Electronics Engineering PSG College of Technology Coimbatore Tamil Nadu India Department of Instrumentation and Control Systems Engineering PSG College of Technology Coimbatore Tamil Nadu India

ISBN: (纸本)9789811582202

The increasing awareness among people about green vehicles has put an enormous demand on electric motors as traction devices. Permanent magnet synchronous motors (PMSMs) are a type of electric motors commonly employed in traction devices which requires a precision control. This control problem is complicated by the inherent nonlinearity of the machine’s dynamics as well as model uncertainties. Differential geometry method is used to perform disturbance decoupling of loaf dynamics and thus provides a simple model. This facilitates the use of well-developed linear controllers for a nonlinear model, thereby reducing the complexity involved in controller/observer design. In this paper, a linear quadratic controller with integral action (LQI) is used as speed controller, and the effectiveness of the controller is assessed with reference tracking and disturbance rejection capabilities. © 2021, Springer Nature Singapore Pte Ltd.

关键词： controllers

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Hybrid Switched-Inductor Switched-Capacitor High Step-Down Converter

Hybrid Switched-Inductor Switched-Capacitor High Step-Down C...

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European Conference on Power Electronics and Applications

作者： Robert Stala Pallavee Bhatnagar Andrzej Mondzik Zbigniew Waradzyn Stanisław Piróg Szymon Folmer Krishna Kumar Gupta Department of Power Electronics and Energy Control Systems AGH University of Krakow Kraków Poland Department of Electrical and Electronics Engineering and Education National Institute of Technical Teachers' Training and Research Bhopal India Electrical and Instrumentation Engineering Department Thapar Institute of Engineering and Technology Patiala India

ISBN: (数字)9798350364446

ISBN: (纸本)9798350364453

This paper presents a hybrid DC-DC converter composed of switch-mode DC-DC converters and switched-capacitor circuits. The system has continuous voltage regulation, low voltage stress across switches, low inductor current, low input and output current ripple values, and high frequency of the output capacitor voltage ripples. Operation of the converter, its efficiency and loss distribution in transistors are demonstrated in the paper.

关键词： Capacitors Europe DC-DC power converters Frequency conversion Hybrid power systems Transistors Voltage control Inductors Stress Switching circuits

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Efficient Internal AC Heating System for CubeSat Power Storage Subsystems

Efficient Internal AC Heating System for CubeSat Power Stora...

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SICE Annual Conference

作者： Punyapat Areerob Nirut Phattanarat Makarapun Makaramani Chanon Khongprasongsiri Sudchai Boonto Department of Electronic and Telecommunication Engineering King Mongkut's University of Technology Thonburi Department of Mechanical Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi National Astronomical Research Institute of Thailand Department of Control Systems and Instrumentation Engineering King Mongkut's University of Technology Thonburi

ISBN: (数字)9784907764838

ISBN: (纸本)9798331544461

The proliferation of space technology and the decreasing cost of launching services have spurred the development of components for CubeSats. Among these components, the power storage subsystem, which is responsible for distributing power stored in batteries to the system, is of utmost importance. However, ensuring battery functionality in the harsh space environment, characterized by low temperatures, poses a significant challenge. Traditional external heating systems that heat batteries are often complex and unsuitable for resource-limited environments like CubeSats. Therefore, this paper proposes AC internal heating based on charge pump topology to generate AC current and validate battery aging analysis via Electrochemical Impedance Spectroscopy (EIS). This method offers efficiency in terms of space utilization and rapid heating rates. The results of our study demonstrate that the proposed heating system achieves a heating rate of 7.5 degrees Celsius in Panasonic NCR18650 cells with an RMS current of 4.37C while consuming only 1.85% of the cell's energy. Moreover, after 60 heating cycles, no signs of battery degradation were observed, making it suitable for non-serviceable battery systems.

关键词： Heating systems Degradation Charge pumps Surface impedance Heat pumps Batteries Topology CubeSat Space heating Testing

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Design and Implementation of Biological Inspired Algorithm Coupled with Sliding Mode controller for Autonomous Cruise control System

Design and Implementation of Biological Inspired Algorithm C...

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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Muhammad Majid Gulzar Muhammad Mughees Ahmed Adnan Shakoor Huma Tahreem Department of Control & Instrumentation Engineering Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Electrical Engineering University of Central Punjab Lahore Pakistan

In modern automobiles, driving assistance systems are extensively used for efficiency, safety and comfort. These systems are utilized for autonomous driving, cruise control, and obstacle avoidance. All of these systems consist of a large number of radars and sensors that generate rapid responses to control the speed or direction of a vehicle. The primary objective of this type of technology is to reduce accidents by reducing driver tension and enhancing travel comfort. The purpose of this study is to develop a controller for cruise control in vehicles that can precisely, rapidly, and efficiently attain the desired speed. In this study, biological inspired optimization tuned Sliding Mode controller is utilized which is more accurate and robust, and can help to adjust the parameters so that the cruise control system provides minimal error, stable results with the fewest disturbances possible. In order to demonstrate the superiority of the proposed controller, the results are subsequently compared to currently employed cutting-edge technologies for cruise control.

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