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Online Parameter Estimation of Linear systems Using A New Designed Extended State Observer

Online Parameter Estimation of Linear Systems Using A New De...

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2022 International conference on advanced Mechatronic systems, ICAMechS 2022

作者： Zhang, Dongsheng Man, Zhihong Wang, Hai Zheng, Jinchuan Cao, Zhenwei Wang, Song Swinburne University of Technology School of Science Computing and Engineering Technologies VIC3122 Australia Murdoch University Discipline of Engineering and Energy College of Science Health Engineering Education WA6150 Australia School of Mechanical Electrical & Information Engineering Weihai China

ISBN: (纸本)9781665463805

In this paper, an observer-based online parameter estimation method for linear systems is proposed. It is shown that when the sampling interval is small enough, the sign of unmeasurable state estimation errors can be estimated and used to construct a new extended sliding mode observer with finite time convergence property. After the finite-time convergence process of the observer, a sliding window least square method (SWLS) is applied to fit estimated states while estimating unknown system parameters online. The advantages of the proposed observer-based parameter estimation method are that (i) when the sampling interval is small enough, all system states can be estimated in finite time;(ii) no recursive calculation is needed in the parameter estimation process;(iii) the simple design and implementation of the proposed estimation method is suitable for practical applications. Several simulation results are given to support the advantages and effectiveness of the proposed estimation method. © 2022 IEEE.

关键词： Linear systems

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Simulation Study of High Gain 2.45 GHz Wearable Microstrip Patch Antenna for WSN applications 2

Simulation Study of High Gain 2.45 GHz Wearable Microstrip P...

引用

2nd International conference on Power systems and Electrical Technology, PSET 2023

作者： Singh, Damanpreet Kaur, Ranjit Singh, Jaspreet Sant Longowal Institute of Engineering and Technology Deptt. of Computer Science and Engg. Longowal India Punjabi University Patiala Deptt. of Electronics and Communication Engineering Patiala India

ISBN: (纸本)9798350339703

Wearable textile antennas have more potential applications, due to the expanding use of wireless wearable communications in smart clothing systems. Specifically, the advanced wearable Internet of things (IoT's) devices led to mandate flexible antennas with better electrical and safety requirements. In this manuscript, a complete design of 2.45 GHz resonanted flexible antenna has been investigated and proposed for wireless sensor networks (WSNs) applications. The geometry of proposed antenna with partial ground of $55.02\ \text{mm}\times 55.86$ mm, substrate of $73.66\ \text{mm}\times 58.98\ \text{mm}$ and rectangular patch of $66.46\ \text{mm}\times 48.98\ \text{mm}$ has been employed. The defected ground structure (DGS) methodology with low dielectric constant ($\varepsilon_{\mathrm{r}}$) flexible substrate has been employed to enhance the performance parameters of proposed antenna. The defected ground plane & patch of the designed antenna is made up of Perfect Electric Conductor (PEC) with a thickness of 0.05 mm. In the given antenna design, denim is a textile material, used as substrate having dielectric constant ($\varepsilon_{\mathrm{r}}$) of 1.6 with thickness of 2.1 mm. The prototype antenna's performance has been evaluated in terms of input impedance, voltage standing wave ratio (VSWR), gain (dB), directivity (dBi). The wearable antenna has been resonated at 2.45 GHz frequency with gain and directivity of 5.47 dB and 7.96 dBi, respectively with minimal return loss of -53.18 dB. The proposed textile antenna has bandwidth of 80 MHz with input impedance of 50 ohms. The novelty of this work is miniature in size and flexibility with better outcomes than previous investigations. It's compact size and flexibility enable the structure to be easily integrated into wearable IoT devices such as rain coats, safety jackets, etcetera for health care, tracking, and rescue/search determinations. The simulations have been carried out using computer simulation technology (CST

关键词： Wearable antennas

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BLDC Motor Trapezoidal Regulation Using Hall Effect sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Hansa Bhatiya Dushyant Patil Shriram Makune Swaraj Kadam Vishal Mahajan Harshal Vaidya Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pimpri Pune India Department of Electrical Engineering R. C. Patel College of Polytechnic India Department of Engineering Science Marathwada Mitramandal’s IoT Lohgaon Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications.

关键词： Commutation Velocity control Rotors Process control Hall effect Stability analysis Regulation sensors Torque measurement Reliability

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Multi sensor Network System for Early Detection and Prediction of Forest Fires in Southeast Asia 33

Multi Sensor Network System for Early Detection and Predicti...

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33rd International Telecommunication Networks and applications conference, ITNAC 2023

作者： Kadir, Evizal Abdul Alomainy, Akram Daud, Hanita Maharani, Warih Muhammad, Noryanti Syafitri, Nesi Universitas Islam Riau Department of Informatics Engineering Pekanbaru28284 Indonesia School of Electronic Engineering Queen Mary University of London LondonE1 4NS United Kingdom Universiti Teknologi Petronas Department of Applied Mathematics Perak32610 Malaysia School of Computing Telkom University Bandung40257 Indonesia Universiti Malaysia Pahang Centre for Mathematics Sciences Kuantan26300 Malaysia

ISBN: (纸本)9798350317138

The increasing frequency and severity of forest and land fires have become a significant environmental concern, necessitating the development of effective early detection and prediction systems. This paper presents a novel approach to address the issue through the implementation of a multi-sensor network system for forest and land fires. The proposed system integrates an array of advanced multi-sensors strategically placed across the targeted regions to capture and analyze a wide range of fire-related data. The key objective of the system is to enable timely identification of potential fire hotspots by continuously monitoring various environmental parameters, including temperature, humidity, and infrared radiation. The collected data is then processed and analyzed using machine learning algorithms to identify fire patterns and predict the likelihood of fire outbreaks. The system utilizes a network of sensors, and the system offers real-time and comprehensive coverage, allowing for rapid response and timely deployment of fire suppression resources. Furthermore, the results of extensive field tests and evaluations, demonstrate the system's accuracy and efficiency in early fire detection and prediction. The proposed system offers a case in Indonesia which is Riau Province with high-risk cases almost every year. Plotting results data achieved and forecasting of the incident for the future in the year 2023 with a successful percentage up to 93.6%. Ultimately, the integration of the multi-sensor network system into existing fire management frameworks promises to enhance emergency response capabilities and foster proactive measures to preserve our valuable forests and lands. © 2023 IEEE.

关键词： Fires

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advanced Security System for four wheeler: Minimizing Collision Accidents through Collision Avoidance Technology

Advanced Security System for four wheeler: Minimizing Collis...

引用

International conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE)

作者： Abhishek Chaudhary Koshal Nikita Rana Mohd Arman Electrical Engineering Department Delhi Technological University DTU New Delhi India

ISBN: (数字)9798350379297

ISBN: (纸本)9798350379303

This project aims to develop an advanced and cost-effective solution to enhance safety in various environments by preventing collisions between objects. Employing Arduino microcontrollers and a range of sensors, the system operates in real-time to identify obstacles and take immediate corrective actions. Key components include ultrasonic sensors for accurate distance measurement, an Arduino microcontroller for data processing, and actuators such as motors or servos for executing avoidance maneuvers. By analyzing sensor data, the Arduino assesses obstacle proximity and triggers suitable responses to avoid collisions. The project introduces a flexible and scalable framework suitable for integration into different applications, including robotics, autonomous vehicles, and smart environments. Moreover, emphasis is placed on user-friendly customization, allowing end-users to adjust system parameters and behaviors according to specific requirements. Addressing the growing need for safety solutions in autonomous systems, robotics, and IoT applications, the Collision Avoidance System represents a significant advancement in reliable collision avoidance technologies. By providing an accessible and adaptable platform, the project facilitates the development of technologies that can reduce accidents, enhance operational efficiency, and promote the widespread adoption of autonomous systems across various domains.

关键词： Microcontrollers Decision making Robot sensing systems Real-time systems sensor systems Energy efficiency Distance measurement

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Integrating Photonics and Fiber Bragg Grating sensors with Deep Reinforcement Learning for advanced Robotic systems

Integrating Photonics and Fiber Bragg Grating Sensors with D...

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International conference on Computing for Sustainable Global Development (INDIACom)

作者： T Subaranjani R Jaideep C Manjula V Seema Dept. of Artificial Intelligence and Machine Learning The Oxford College of Engineering Bangalore India Dept. of Mechatronics Engineering The Oxford College of Engineering Bangalore India

This research introduces the Photonics-Enhanced Embedded Robotic Intelligence Model (PEERIM), an innovative approach that integrates fiber Bragg grating (FBG) sensors with photonics and deep reinforcement learning (DRL) for advanced robotics applications. Addressing the limitations of current AI models in dynamic and complex environments, PEERIM leverages the rapid data transmission capabilities of photonics to process high-frequency sensor data, enabling real-time decision-making and enhanced automation. The methodology encompasses the development and integration of a variant of the Proximal Policy Optimization (PPO) algorithm, tailored to manage the continuous data stream and execute precise, adaptive control. The proposed model has been empirically evaluated, demonstrating a significant improvement in handling real-time sensor data with an average reward of 99.02 and a low average loss of 0.099, indicating robust performance and learning stability. These findings suggest that PEERIM provides a substantial advantage over existing AI-driven robotic systems, offering a scalable solution for a variety of challenging applications. The study’s contributions lay the groundwork for future advancements in autonomous systems, promising a new era of precision and reliability in robotics.

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Curving Motion Control of a Traction Rail Mover Using a Dual BLAC Motor Drive

Curving Motion Control of a Traction Rail Mover Using a Dual...

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24th International conference on Electrical Machines and systems (ICEMS)

作者： Ok, Sangjae Bae, Jongnam Lee, Dong-Hee Kyungsung Univ Dept Mechatron Engn Busan 48434 South Korea

This article presents an improved position control method of an overhang-type rail system considering a curved path. The designed system is driven by two BLAC (brushless ac) motors, and the moving position is controlled based on the signal from a simple Hall position sensor mounted on the motor without any absolute position sensors. The rail is composed of both linear and curved paths. For the linear rail, the two motors are controlled to rotate in the same speed. However, in a curved path, the two motors must have different moving distance according to the curvature. Generally, in order to determine the proper motion commands for both traction motors, the actual curvature state and position have to be detected by a potentiometer or an encoder equipped with linear position sensor, but this method significantly increases complexity and cost of the system. This article aims to solve this problem by using a low-cost semiconductor IMU (inertia measurement unit) to estimate the actual rail condition. The IMU will then estimate the heading angle variation to compensate the motion commands for the two BLAC motors without any additional external absolute sensors. As a result, a balanced and improved motion can be achieved for an arbitrary rail path. Practical experiments using an overhang-type rail traction system were performed to verify the effectiveness of the proposed control scheme. The results show the advanced control performance in both linear and curved path, and also a smooth transition between them both.

关键词： Rails Traction motors Brushless motors AC motors Rotors Permanent magnet motors Synchronous motors Curving motion dual BLAC (brushless ac) motor Hall sensor heading angle estimation turning

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A Remaining Useful Life Prediction Framework for Aero-engine Using Information Entropy-based Criterion and PCA-RVM 13

A Remaining Useful Life Prediction Framework for Aero-engine...

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13th International conference on Reliability, Maintainability, and Safety, ICRMS 2022

作者： Li, X. Yang, L. Liu, X. Zhu, F. School of Mechanical Engineering University of Science and Technology Beijing Beijing China City University of Hong Kong Department of Advanced Design and Systems Engineering Hong Kong

ISBN: (数字)9781665486903

ISBN: (纸本)9781665486903

To deal with the challenge of feature selection and extraction in the remaining useful life (RUL) prediction for aero-engines, this paper proposes a framework using multi-sensors data, which involves three key components (i) an information entropy-based criterion for sensor selection, (ii) principal component analysis (PCA) for the construction of synthesized health index, and (iii) relevance vector machine (RVM)-based RUL prediction. The proposed method combines the PCA with RVM and improves the prediction accuracy by employing a novel entropy-based criterion for sensor selection. The effectiveness of this approach is demonstrated and validated with the turbofan engine released by NASA Research Center. © 2022 IEEE.

关键词： Principal component analysis

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Design of an SHF RFID Reader Antenna for Access Control and Security systems

Design of an SHF RFID Reader Antenna for Access Control and ...

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International conference on advanced systems and Electric Technologies (IC_ASET)

作者： Hamza Othmani Sabri Beldi Med Karim Azizi Department of Physics FST Microwave Electronics Research Laboratory University Tunis El Manar Tunis Tunisia

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

This paper presents the design of a Radio Frequency IDentification antenna (RFID Antenna) in Super-High-Frequency band (SHF Band) radiated at the resonant frequency of 2.45 GHz, simulated with CST Studio electromagnetic simulation software. The patch antenna is a perfect electrical conductor, excited by a coaxial cable with a 50 Ohms impedance. The antenna is designed as a rectangular patch with a U-shaped slot of 35.5 × 26 mm² placed on a Rogers RO4350B substrate, dimension 71 × 47 mm². The antenna has a perfect adaptation and covers a frequency band of 2393.0-2569.5 MHz with a bandwidth of 176.5 MHz. Therefore, this bandwidth is sufficient for industrial applications that use wireless sensor networks for monitoring parameters like: temperature, humidity, and pressure.

关键词： Temperature sensors Wireless sensor networks Slot antennas Patch antennas Transmitting antennas Resonant frequency Transportation

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Wearable sensors in Daily Life: A Review

Wearable Sensors in Daily Life: A Review

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International conference on advanced Computing and Communication systems (ICACCS)

作者： Aparna K Dayajanaki H D Devika Rani P Devu D Sreenidhi Prabha Rajeev Baby Sreeja S D Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Amritapuri India

Wearable sensor technologies have improved people’s daily lives through their applications in almost every field. sensor technologies of inventive kinds are used in an extensive variety of applications in lifestyle, healthcare, fitness, manufacturing, etc. There have also been crucial issues in making significant improvements to the actual mechanical, electrical, and optical sensing methods mainly in upgrading the precision of identification of wearable sensors to various stimuli. With an extensive study of the basic demands in wearable device technology as of now, the road map becomes clearer for creating greater innovations in the future. This is a review that gives an outline of types of wearable sensors by the score that is utilized in daily life.

关键词： Technological innovation Wearable computers Roads User experience Real-time systems Reliability Optical sensors

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