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Simulation Winter Conference

作者： David Tian Hazel Y. Squires Charlotte Buckley Duncan Gillespie Harry Tattan-Birch Lion Shahab Robert West Alan Brennan Jamie Brown Robin C. Purshouse Dept. of Automatic Control and Systems Engineering University of Sheffield UK Sheffield Centre for Health and Related Research School of Medicine and Population Health University of Sheffield UK Institute of Epidemiology and Health University College London UK

ISBN: (数字)9798331534202

ISBN: (纸本)9798331534219

Modeling trajectories in cigarette smoking prevalence, initiation and quitting for populations and subgroups of populations is important for policy planning and evaluation. This paper proposes an agent-based model (ABM) design for simulating the smoking behaviors of a population using the Capability, Opportunity, Motivation - Behavior (COM-B) model. Capability, Opportunity and Motivation are modeled as latent composite attributes which are composed of observable factors associated with smoking behaviors. Three forms of the COM-B model are proposed to explain the transitions between smoking behaviors: initiating regular smoking uptake, making a quit attempt and quitting successfully. The ABM design follows object-oriented principles and extends an existing generic software architecture for mechanism-based modeling. The potential of the model to assess the impact of smoking policies is illustrated and discussed.

关键词： Software architecture Object oriented modeling Trajectory Planning

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A Study On Suitable Electrodes For Low-Energy Power Generation From Carbon Waste in Factories

A Study On Suitable Electrodes For Low-Energy Power Generati...

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International Electrical engineering Congress (iEECON)

作者： Surasak Channgamthiang Pheeraphat Nusukhon Pakpoom Chansri Dept. Electrical Technology Education King Mongkut's University of Technology Thonburi Bangkok Thailand Dept. Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand

Factory waste includes the incomplete combustion of industrial fuels that causes carbon to precipitate in vents. These carbons might be put to good use. Therefore, the impact of using waste carbon in factories to produce electricity is investigated in this study by evaluating electrical characteristics: the type of electrode material's suitability, the size of the electrode's carbon contact surface area, and the distance between the electrodes. According to the findings, the maximum open circuit voltage (V oc ) was 1.09 V for copper (+) and zinc (-) electrode materials, 1.11 V for the electrode's carbon contact surface area, and 1.29 V for the electrodes' spacing. The maximum of V oc was 1.11 V, maximum on-load voltage and current were 0.64V, 124.65 mA for optimum electrode carbon contact surface size 40 cm 2 . Optimum electrode distance at 2 cm that maximum open circuit voltage (V oc ) was 1.29 V. The maximum load voltage and current were 0.77V, 128.32mA. Factory waste carbon can be useful in some applications for producing electricity from waste carbon and assisting in the reduction of factory waste.

关键词： Electrodes Electrical engineering Contacts Vents Voltage Production facilities Fuels

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Optimal Linear Attack in Cyber-Physical systems with Periodic Detection

Optimal Linear Attack in Cyber-Physical Systems with Periodi...

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IEEE Conference on Decision and control

作者： Jia Qi Chongrong Fang Jianping He Dept. of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Ministry of Education of China and Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

Security issues are of significant importance for cyber-physical systems (CPS), where the attack design is a major concern. Most related studies on attack design implicitly consider that the control period and detection period are the same. However, the two periods could be different in practical systems with remote detection such as supervisory control and data acquisition (SCADA) systems, which could lead to new vulnerabilities for attackers. In this paper, we consider the design of innovation-based linear attack strategies for CPS when the control period and detection period are inconsistent. Specifically, we propose an attack framework that consists of attack strategies for detection and non-detection instants under the period discrepancy. On this basis, we design the optimal stealthy innovation-based linear attack strategies for state estimation and LQG control to maximize the estimation error or control cost, respectively. Simulations are given to demonstrate the effectiveness of the proposed attack strategies.

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Preserving Topology of Network systems: Metric, Analysis, and Optimal Design

arXiv

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arXiv 2023年

作者： Li, Yushan Wang, Zitong He, Jianping Chen, Cailian Guan, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

Preserving the topology from being inferred by external adversaries has become a paramount security issue for network systems (NSs), and adding random noises to the nodal states provides a promising way. Nevertheless, recent works have revealed that the topology cannot be preserved under i.i.d. noises in the asymptotic sense. How to effectively characterize the non-asymptotic preservation performance still remains an open issue. Inspired by the deviation quantification of concentration inequalities, this paper proposes a novel metric named trace-based variance-expectation ratio. This metric effectively captures the decaying rate of the topology inference error, where a slower rate indicates better non-asymptotic preservation performance. We prove that the inference error will always decay to zero asymptotically, as long as the added noises are non-increasing and independent (milder than the i.i.d. condition). Then, the optimal noise design that produces the slowest decaying rate for the error is obtained. More importantly, we amend the noise design by introducing one-lag time dependence, achieving the zero state deviation and the non-zero topology inference error in the asymptotic sense simultaneously. Extensions to a general class of noises with multi-lag time dependence are provided. Comprehensive simulations verify the theoretical findings. Copyright © 2023, The Authors. All rights reserved.

关键词： Topology

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Research on Early Warning of Continuous Commutation Failure of HVDC Transmission Line Based on Machine Learning Methods 10

Research on Early Warning of Continuous Commutation Failure ...

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10th Renewable Power Generation Conference, RPG 2021

作者： Wang, Bin Sheng, Yibo Liu, Chao Li, Yan State Key Laboratory of Operation and Control of Renewable Energy and Storage System Beijing China Dept. of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839536069

High-voltage direct current (HVDC) transmission systems have developed rapidly in recent years. Continuous commutation failure is a serious malfunction in HVDC transmission systems, which results in the blockage of the converter station. Though commutation failure is inevitable when serious AC side faults occur, continuous commutation failure can be prevented by control methods based on a sensitive and accurate forecast. However, the HVDC transmission systems are complex and nonlinear when commutation failure occurs. Thus, analytical methods are limited. Hence, a new forecasting method based on machine learning is introduced. First, this paper analyses the physical process of commutation failures. Commutation voltage, direct current, and advancing firing angle are the main factors that affect the commutation failure of HVDC. Second, this paper realizes the training and evaluation of the continuous commutation failure classification and probabilistic forecasting model. Data processing and feature engineering methods have significantly improved the model performance. Finally, the proposed model is tested on the CIGRE benchmark system. The proposed model can predict whether a continuous commutation failure will occur within tens of milliseconds after the first commutation failure, where the risk of continuous commutation failure is greatly reduced. © The Institution of engineering and Technology.

关键词： Data handling

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A study of vibration and current data characteristic analysis for motor mechanical fault level determination by deep learning

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Transactions of the Korean Institute of Electrical Engineers 2021年第10期70卷 1509-1516页

作者： Han, Ji-Hoon Park, Sang-Uk Hong, Sun-Ki Dept. of System and Control Engineering Hoseo University Korea Republic of Dept. of Information Control Engineering Hoseo University Korea Republic of

In the classic motor fault diagnosis system, a method of analyzing the differences between the normal and collected state signals of the motor to be diagnosed was used and the method can diagnose only the limited situations because the diagnosis is based on the frequency of the mechanical failure. In order to compensate for this, some studies on a system that performs more specialized fault diagnosis through deep learning algorithms were carried out. However, the level of failure cannot be determined because these studies consider only the signals that have a great influence on motor operation. To solve this problem, the characteristics of vibration and current signals are analyzed to develop a deep learning algorithm suitable for fault level determination. The characterized signals are used for fault diagnosis and prediction. Fault diagnosis based on vibration signal is carried out through DT-CNN (Decision Tree Convolutional Neural Network). In addition, it is checked whether the current signal in the initial failure state, which is relatively insensitive to failure, can be classified through a deep learning algorithm. The proposed data utilization performance was evaluated through an induction motor and the analyzed signal-based fault diagnosis system is expected to enable a more precise diagnosis compared to the existing system. Copyright © The Korean Institute of Electrical Engineers.

关键词： Failure analysis

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Improving the Performance of the Electric Vehicle Suspension system Using Sliding Mode controller and PID controller 3

Improving the Performance of the Electric Vehicle Suspension...

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3rd IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Ahmed, Abdussalam Ali Ramadhan, Hisham. F. A. Emheisen, Mustafa Nassar, Yasser Fathi Oubelaid, Adel Bajaj, Mohit Saini, Parvesh Choudhury, Subhashree Bani Waleed University Mechanical Engineering Department Bani Waleed Libya College of Electronic Technology Control System Engineering Bani Walid Libya Bani Waleed University Electrical Engineering Department Bani Waleed Libya Wadi Alshatti University Mechanical and Renewable Energy Eng. Dept. Brack Libya Université de Bejaia Laboratoire de Technologie Industrielle et de l'Information Faculté de Technologie Bejaia06000 Algeria Department of Electrical Engineering Dehradun248002 India Graphic Era Hill University Department of Electrical Engineering Dehradun248002 India Dept. of Eee Bhubaneswar India

ISBN: (纸本)9798350319972

The purpose of this paper is to show how to identify and handle suspension system vibrations using two different control strategies: Sliding Mode control (SMC) and a Proportional Integral Derivative (PID) controller. A four-degree-of-freedom (4DOF) half-car suspension model is used. Suspension performance factors such as ride comfort, suspension deflection, and vehicle handling necessitate a thorough control system. This control system, which is carried out with the MATLAB application, is made up of three components: the controller, the suspension system model, and input signals (road profile and actuator force). The simulation results illustrate a comparison between the uncontrolled suspension system and the half-car active suspension system's PID and SMC controllers. © 2023 IEEE.

关键词： Three term control systems

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Application of Boolean Algebra Methods to the Problem of Measurement Data Compression

Application of Boolean Algebra Methods to the Problem of Mea...

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Siberian Conference on control and Communications (SIBCON)

作者： Ilya Bogachev Alexey Levenets En Un Chye Vladislav Bondarenko dept. of Automatic and System Engineering Pacific National University Khabarovsk Russia dept. of Information Systems Mathematics and Teaching Methods Sholem Aleichem Priamursky State University Birobidzhan Russia

ISBN: (纸本)9781665476294

The article describes an approach to reversible compression of measurement data frames. It is based on the representation of the bit-difference type of frames as a truth table of some logical function of several variables, with its subsequent minimization. Based on this approach, a reversible compression algorithm has been developed that allows one to switch from direct data compression to encoding the minimal disjunctive normal form obtained in the process of minimization using adaptive prefix coding. The efficiency of the algorithm was studied on data obtained from a number of energy facilities in the Far East. Which showed that this approach to reversible data compression turned out to be quite effective, regardless of their statistical properties and, in particular, stationarity.

关键词： Correlation Atmospheric measurements Switches Minimization Particle measurements control systems Encoding

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface

Optical Evanescent Field for Direct Observation of Sub-100nm...

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Robotics, engineering, Science, and Technology (RESTCON), International Conference on

作者： Panart Khajornrungruang Thitipat Permpatdechakul Keisuke Suzuki Aran Blattler Yutaka Terayama Daiki Goto Pipat Phaisalpanumas Natthaphon Bun-Athuek Amornphun Phunopas Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Mechanical Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Mechanical Information Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Mechanical Science and Technology Course Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Industiral Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes.

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Parallel Motion Execution and Path Rerouting for a Team of Mobile Robots

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IFAC-PapersOnLine 2022年第28期55卷 73-78页

作者： Sofia Hustiu Cristian Mahulea Marius Kloetzer Aragón Institute of Engineering Research (I3A) University of Zaragoza Spain Dept. of Automatic Control and Applied Informatics Technical University “Gheorghe Asachi” of Iasi Romania

This work achieves parallel movements and collision free paths for a team of identical robots evolving in a known environment while satisfying a global Boolean-based formula over a set of regions of interest. The movement capabilities of the robots within the grid-based environment are modeled as a Petri net system. The solution starts from initially known robot paths given by the approach in (Mahulea et al., 2020b). The main advantages of this work are two-folded: (i) it reduces the number of waiting states of the robots throughout their paths, (ii) it considers path rerouting action solved by a MILP problem, without generating new observations along their paths. The rerouting is triggered when the number of robots that are waiting is greater than a threshold, or when some stopped robots inhibit the movement of others. Thus, the proposed method yields parallel movement of robots and path rerouting when needed. The algorithm is integrated in the open-source toolbox RMTool (González et al., 2015).

关键词： Petri net Boolean-based specification Multi-robot system

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