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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Filipe Krebel Weder Tótola Nunes Vinícius Secchin De Melo Renner Sartório Camargo Monique Cardoso Fernandes Marcelo Brunoro Reginaldo Barbosa Nunes Electrical Engineering Dept. Federal Institute of Education of Espírito Santo - Ifes Vitória Brazil Control and Automation Engineering Dept. Federal Institute of Education of Espírito Santo - Ifes Serra Brazil

Climate change and the future scarcity of fossil fuels are driving the actions of the so-called energy transition. The transport sector is at the center of this problem and the introduction of electric vehicles is appearing as the main solution for this sector. However, the possibility of a mass insertion is surrounded by doubts about the impacts on energy demand. Some works analyzed the Brazilian scenario considering different EV insertion rates in a short time interval. Unlike what is found in similar works, this study tries to approach a scenario that takes into account the socioeconomic aspects of Brazil to analyze the impacts that the introduction of the electric fleet will bring to the national electric matrix. The results indicate that this insertion will be slow and gradual, with negligible impacts in the first decades.

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Design and Implementation of a Novel Self-Tuning Single Input Fuzzy controller for PMSM

Design and Implementation of a Novel Self-Tuning Single Inpu...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Kursad Metehan Gul Berk Kacar Mohammad Aziziaghdam Tufan Kumbasar Mechanical Engineering Dept. Istanbul Technical University Istanbul Turkey E-mobility Development Team FIGES A.S. Istanbul Turkey Control and Automation Engineering Dept. Istanbul Technical University Istanbul Turkey

Conventionally, PI controllers are utilized in the vector control with voltage feedback field-weakening structure of Permanent Magnet Synchronous Machines (PMSM). However, PMSMs mostly operate in wide torque-speed envelopes which require better adaptability to prevent performance degradation in the control system against emerging nonlinearities. In this paper, we propose a novel Self Tuning Single Input Type 1 Fuzzy Logic controller (ST-SIT1-FLC) which manipulates the speed control characteristics in an online manner to prevent performance degradation in different operating regions of the PMSM. For the design of ST-SIT1-FLC, we present a novel geometrical design approach that facilitates the design and allows easy characteristic shaping by defining a desired aggressiveness/smoothness level within a desired region around the origin. We provide all details of the design of ST-SIT1-FLC for the PMSM. To analyze the control performance of the proposed controller, we conducted experimental tests on a real-world PMSM in different operating regions with two inclusive test scenarios. The experimental results revealed that the proposed ST-SIT1-FLC improves the speed control performance and enables the adoption of lower control margins in the voltage feedback control loop, thus increasing drive efficiency.

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Identification and control of a Linear Time-Periodic Test Bench Using Harmonic Transfer Functions and LQR controllers

Identification and Control of a Linear Time-Periodic Test Be...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Basak Sert Bahadir Catalbas Ismail Uyanik Dept. of Electrical and Electronics Engineering Hacettepe University Ankara Turkey Defence Systems Technologies Division Aselsan Inc. Ankara Turkey Dept. of Control and Automation Engineering Yildiz Technical University İstanbul Turkey

The increased need for accurately modeling the input-output characteristics of linear time-periodic (LTP) systems necessitates novel identification and control algorithms as well as new test benches for their experimental validation. This paper introduces a simple-to-build test bench for the identification and control of LTP systems. We mechanically coupled the shafts of two DC motors and fed back the angular velocity to the second motor with a time-periodic modulation. This allowed us to imitate a time-periodic load for the first DC motor, thereby yielding an experimental LTP plant. We used Matlab/Simulink target hardware support to implement the entire software in Simulink, which greatly simplifies input design, data collection, and analysis as compared to embedded programming. We used constant-frequency sinusoidal signals for the data collection on the experimental test bench. Subsequently, we estimated the harmonic transfer functions and identified the parameters of a state-space model of the proposed LTP system. We then designed a time-periodic controller in order to regulate the output of the LTP system. We designed a reference-tracking controller along with a Linear Quadratic Integrator (LQI) to improve the system performance. We validated our results through experiments on the physical LTP system plant.

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Application of Process Mining to Production Lines Using Industrial Internet of Things

Application of Process Mining to Production Lines Using Indu...

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IEEE Eurasia Conference on IOT, Communication and engineering (ECICE)

作者： Beyza Yapakçı Zeynep Akdağcık Bora Ayvaz Ali Fuat Ergenç Big Data and Business Analytics Prog. Istanbul Technical University Istanbul Turkey Business Engineering Dept. KU Leuven Leuven Belgium Control and Automation Engineering Dept. Istanbul Technical University Istanbul Turkey

Process mining has emerged as a powerful solution for analyzing production processes in the manufacturing sector, yet its integration with the Internet of Things (IoT) remains a challenge. Drawing from IoT ontologies and business process context models, we introduced a practical methodology for constructing event logs from industrially gathered IoT data. The study was conducted in a controlled laboratory environment to emulate a discrete production model through an industrial communication and database setup. Employing a systematic process mining framework encompassing data preparation, pre-processing, production process analysis, and interpretation steps, we used industrial controllers and Industrial Internet of Things (IIoT) tools to simulate a sauce production process. The generated data was analyzed using ProM software, fortified by visualization techniques such as the ”log as log skeleton” method, for enhancing process flow comprehension and pinpointing ways for optimization. The study results unveiled a systematic linear structure by employing the Alpha Miner method for process model construction. Notably, the analysis exposes extended duration in the production process, prompting further investigation and refinement. The resultant model provides valuable insights into the actual performance of the process and emphasizes the range of potential process scenarios, making it easier to pinpoint deviations from the ideal model. Through the demonstration of the IIoT data integration, the result significantly contributes to the growing enthusiasm for process-oriented methodologies within the manufacturing sector as well as providing an example approach to transform captured IoT data into event logs via contextualization. Furthermore, the study result provides the groundwork for future research and improvement endeavors to enhance manufacturing practices and outcomes.

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Ontological Analysis of the Digital Crime Conceptual Model

Ontological Analysis of the Digital Crime Conceptual Model

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International Computer Sciences and Information Technologies (CSIT)

作者： Lidiia Vlasenko Nataliia Lutska Nataliia Zaiets Vitaliy Lysenko dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine

A conceptual ontological model of Digital Crime has been developed, consisting of five non-empty classes. Identification and classification were carried out according to the experience of domestic and foreign experts. The central place of the model is occupied by objects of the Digital Crime class, which have their own attributes and are connected by various links with other objects. Objects of some classes are filled in by users, others are formed by knowledge engineers. Based on the ontological analysis, SWRL-rules are constructed that automatically form links between objects of the custom classes Digital crime and Digital evidence with objects of the Type of crime and Criminal Liability classes. The last class contains articles of the Criminal Code of Ukraine on criminal liability for digital crimes. The ontological model is developed taking into account possible requests to it. Such queries can be formed on the basis of direct relationships between human and automatic concepts. And also contain logical chains to concepts that do not contain an explicit link in the ontology. It is assumed that the model can be expanded and supplemented. The ontological model of Digital Crime can be used to share information, develop new systems and applications, improve information retrieval and ensure its accordance.

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Asymmetric S-Curve Generation and Tracking Under Motion Constraints: An Experimental Validation

Asymmetric S-Curve Generation and Tracking Under Motion Cons...

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2022 Advances in Science and engineering Technology International Conferences, ASET 2022

作者： Cicek, Elif Turker, Turker Akbati, Onur Vedat Sancak, Kamil ALTINAY Robot Technologies Inc. Istanbul Turkey Al Dar University College School of Engineering and Technology Dubai United Arab Emirates Yildiz Technical University Dept. of Control and Automation Eng. Istanbul Turkey

ISBN: (纸本)9781665418010

S-curve is one of the most applied approaches for trajectory generation for the point-to-point movement in industrial drives. In this note, the asymmetric S-curve structure is addressed to develop a single-axis motion structure, and an algorithm is introduced to generate the desired motion. Furthermore, a cascade P/PI position controller structure with a feed-forward path is suggested and the determination of the controller gains is discussed. Aiming to improve the smoothness of the desired trajectory and to reduce the tracking error, the proposed scheme containing both trajectory generation and controller structure is implemented experimentally in a ball screw linear motion system. The mechanical model parameters in that experimental setup, and accordingly the controller gains, are obtained based on an estimation algorithm. The acquired results show that the proposed controller structure with the asymmetric S-curve generation algorithm is convenient for practical applications. © 2022 IEEE.

关键词： controllers

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Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots

arXiv

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arXiv 2023年

作者： Berto, Letícia Costa, Paula Simões, Alexandre Gudwin, Ricardo Colombini, Esther Laboratory of Robotics and Cognitive Systems Institute of Computing University of Campinas Brazil Dept. of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering University of Campinas Brazil Dept. of Control and Automation Engineering Institute of Science and Technology São Paulo State University Sorocaba Brazil University of Campinas Brazil

Humans have needs motivating their behavior according to intensity and context. However, we also create preferences associated with each action’s perceived pleasure, which is susceptible to changes over time. This makes decision-making more complex, requiring learning to balance needs and preferences according to the context. To understand how this process works and enable the development of robots with a motivational-based learning model, we computationally model a motivation theory proposed by Hull. In this model, the agent (an abstraction of a mobile robot) is motivated to keep itself in a state of homeostasis. We added hedonic dimensions to see how preferences affect decision-making, and we employed reinforcement learning to train our motivated-based agents. We run three agents with energy decay rates representing different metabolisms in two different environments to see the impact on their strategy, movement, and behavior. The results show that the agent learned better strategies in the environment that enables choices more adequate according to its metabolism. The use of pleasure in the motivational mechanism significantly impacted behavior learning, mainly for slow metabolism agents. When survival is at risk, the agent ignores pleasure and equilibrium, hinting at how to behave in harsh scenarios. Copyright © 2023, The Authors. All rights reserved.

关键词： Metabolism

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Predictive Follow the Gap Method for Dynamic Obstacle Avoidance

Predictive Follow the Gap Method for Dynamic Obstacle Avoida...

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International Workshop on Robot Motion and control (RoMoCo)

作者： Emre Can Contarli Volkan Sezer Control and Automation Engineering Dept. Faculty of Electrical and Electronics Engineering Istanbul Technical University Maslak ISTANBUL Türkiye Smart and Autonomous Systems Laboratory (SASLab) Istanbul Technical University Maslak ISTANBUL Türkiye

ISBN: (数字)9798350393965

ISBN: (纸本)9798350393972

Advancements in autonomous mobile robots hinge on refining key components like mapping and path planning to address identified limitations. The local planner, crucial for obstacle avoidance, is a component of path planning. The Follow the Gap Method (FGM) stands out as a simple and effective obstacle avoidance algorithm. FGM calculates possible passage points by assessing gap sizes and positions of obstacles. Our focus lies in enhancing FGM's adaptability to dynamic environments. Introducing Predictive FGM, we incorporate robot and dynamic obstacle data to forecast future gaps and obstacle states. By integrating predictive elements, the algorithm selects gaps based on anticipated changes, enabling safer navigation by predicting the states of gaps and obstacles when they are closest to the robot. Evaluation via Monte Carlo simulations and real-world experiments with an autonomous wheelchair in dynamic environments show the effectiveness of Predictive FGM over standard FGM.

关键词： Robot motion Monte Carlo methods Navigation Heuristic algorithms Wheelchairs Prediction algorithms Path planning

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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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Power Quality Enhancement of DSTATCOM Using E2PLL-Based control Method for Wind Energy Applications

Power Quality Enhancement of DSTATCOM Using E2PLL-Based Cont...

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International Symposium on Industrial Electronics (INDEL)

作者： Ali Sait Özer Fehmi Sevilmiş Hulusi Karaca Hafiz Ahmed Dept. of Control and Automation Technology Konya Technical University Konya Türkiye Dept. of Electrical and Electronics Engineering Selçuk University Konya Türkiye Nuclear Advanced Manufacturing Research Centre University of Sheffield Derby U.K.

ISBN: (数字)9798350352320

ISBN: (纸本)9798350352337

DSTATCOM is most commonly used to regulate the voltage generated by the SEIG used in wind turbines. DSTATCOM provides the reactive power required by the SEIG and the load. It uses the DC bus voltage to provide the required reactive power. For effective control, the DC bus voltage must be constant at the desired value and the required reactive power must be correctly determined. This also requires correct estimation of the reference source currents. When the system is loaded with non-linear and unbalanced loads, if the load currents are not well filtered, the active and reactive components of the load currents will be incorrectly estimated. In this paper, an E 2 PLL-based control algorithm with superior filtering capability is proposed for the control of SEIG loaded with nonlinear and unbalanced load. The proposed algorithm is tested under nonlinear and unbalanced load conditions. The obtained results clearly prove the effectiveness of the E 2 PLL-based control algorithm.

关键词： Industrial electronics Reactive power Wind energy Filtering Power quality Estimation Filtering algorithms Active filters Wind turbines Voltage control

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