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Robust Adaptive control of Servo Systems 19

Robust Adaptive Control of Servo Systems

引用

19th International Conference on Electrical engineering, Computing Science and automatic control, CCE 2022

作者： Morales, Olga Jimenez Maldonado, J. Garrido, R. CINVESTAV-IPN Dept. of Automatic Control. Ciudad de Mexico Mexico Communications Academy IPN-ESIME Dept. of Engineering and Electronics Ciudad de Mexico Mexico

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455084

This paper presents the evaluation of a novel Robust Adaptive control algorithm on a servo system. The main feature of the proposed approach is the use of an updated law based on the e-modification, endowed with a saturation function that maintains the parameter estimates within known lower and upper bounds without resorting on parameter projection techniques. The performance and advantages of the proposed update law compared to the use of a standard updated law based on the e-modification are evaluated. The experimental results highlight the advantages of the proposed robust adaptive controller. In addition, the experiments also show that the use of the proposed update law produces a smooth control signal without large peaks. © 2022 IEEE.

关键词： Parameter estimation

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Features of Space Vector Pulse Width Modulation in 5-phases Cascaded High Voltage Converters 5

Features of Space Vector Pulse Width Modulation in 5-phases ...

引用

5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Busher, Victor Chornyi, Oleksii Tytiuk, Valerii Glazeva, Oksana Kuznetsov, Vitaliy Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Kryvyi Rih National University Kryvyi Rih Ukraine Dept. of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350384499

The purpose of this work is to analyze the capabilities of space-vector pulse-width modulation when controlling a 5-phase high-voltage cascade frequency converter in normal mode and several types of emergency situations. Taking into account the large number of controlled power transistors, an asynchronous modulation method is proposed, based on calculating the amplitude values of individual phases at each time based on the duty cycle of space vectors, which allows the control system to use independent switching in each phase. In emergency modes, when individual H-bridges are damaged, it is proposed to use the balanced space vectors method, which ensures the symmetry of the electromagnetic field in the event of a short circuit of both individual cascades and one or two phases of the inverter. Methodology. We use a mathematical and geometric interpretation of variable amplitude space vectors when projecting voltages onto a symmetrical 5-phase load. Results. Analysis of the 1st harmonic of phase voltages showed that the use of the space vector modulation method in the normal operating mode of a 5-phase converter makes it possible to increase the utilization factor of DC voltage sources by 23.1% (instead of 15.6% for a 3-phase converter). If individual H-bridges fail and the voltages in the load phases are balanced, the utilization factor may decrease, but in any case it will remain greater than 1. In this case, the higher harmonics, despite significant distortions in the shape of the phase voltages, are mutually compensated in the electromagnetic field of the load, as evidenced by absence of pulsations and shocks on the graphs of transient processes of the electromagnetic torque of the engine. Balancing of the electromagnetic field in the load is maintained even if one or two phases of the inverter are short-circuited. This significantly increases the survivability of the electric drive, which is especially important in critical mechanisms and technological processes,

关键词： Electric motors

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Optimizing Hyperparameters of a Multi-Scale Convolutional Neural Model Tailored to Describe Amorphous Materials Behavior

Optimizing Hyperparameters of a Multi-Scale Convolutional Ne...

引用

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

作者： Marek Pakosta Dept. of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Czech Republic

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This paper presents an optimization procedure of parameters in a multi-scale neural model, which is crucial for accurately characterizing the behavior of amorphous materials; more specifically glass transition kinetics, which is considered one of the most important yet not fully understood phenomena of solid-state physics and chemistry, with wide-ranging applications. Through systematic exploration of a hyperparameter grid space and rigorous evaluation of resultant models, a highly effective configuration was identified – Conv1D kernel size=8-24-48, Conv1D #filters=16 & Dense #neurons=16 – which offers optimal performance with remarkably short mean epoch times. Our findings suggest a promising strategy of increasing kernel size while decreasing the number of filters and neurons in the dense layer, supported by the superior performance of key competitors sharing this trend. However, further examination reveals comparable performance levels among subsequent competitors, indicating the need for additional samples to draw definitive conclusions. Our experiment highlights the intricate relationship between model accuracy and computational resources, emphasizing the necessity for further results to gain a comprehensive understanding of hyperparameter impact. Three promising combinations for future experimentation emerge, with Conv1D kernel size=8-24-48, Conv1D #filters=16 & Dense #neurons=16 standing out as the clear winner for practical application.

关键词： Training Solid modeling Systematics Filters Accuracy Computational modeling Neurons Solid-state physics Personnel Kernel

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Magnification of Performance Operation for Low Voltage DC Microgrids Based on Adaptive Droop control Technique 22

Magnification of Performance Operation for Low Voltage DC Mi...

引用

22nd International Middle East Power Systems Conference, MEPCON 2021

作者： Ghalib, M. Ali. Samy, Mohamed Mahmoud College of Technology and Education Beni-Suef University Automatic Control Dept. Egypt Beni-Suef University Faculty of Engineering Automatic Control Dept. Egypt

ISBN: (纸本)9781665419987

Load sharing, circulation current, and bus voltage regulation are the main challenges of parallel converters operation in DC microgrids. For its simplicity, a droop controller is preferred for current sharing control among parallel DC-DC converters. The droop parameter values determine the current sharing error and voltage deviation of parallel DC-DC converters. In this paper, an adaptive and simple adaptive droop controller is proposed, where the droop parameters are estimated online. The proposed algorithm is characterized by low voltage regulation with improved load sharing performance of the DC microgrids. To evaluate the performance of the proposed algorithm, its performance under both the variable input voltage and load resistance is compared to that of a conventional droop controller. Simulation results show the effectiveness of the proposed algorithm over the conventional method. © 2021 IEEE.

关键词： Microgrids

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Predicting the Time from Diagnosis to Treatment in Breast Cancer

Predicting the Time from Diagnosis to Treatment in Breast Ca...

引用

E-Health and Bioengineering Conference (EHB)

作者： Sergiu Ceică Ştefan-Daniel Achirei Dept. of Computer Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

Recent advancements in machine learning (ML) have significantly impacted the medical field, particularly in diagnosing and treating breast cancer. This study models the time from diagnosis to treatment for breast cancer patients, focusing on delay factors and ML-based solutions. The goal is to develop precise ML models that predict treatment delays, thereby improving the quality and efficiency of medical services. We investigated socio-economic disparities affecting treatment access and developed models to predict these delays. The predictive models used include K-Nearest Neighbors, Decision Trees, Linear Regression, and Boosting Algorithms such as AdaBoost and Gradient Boosting Regressor. By accurately predicting the interval from diagnosis to the first treatment, our work aims to promote equity in healthcare, ensuring timely treatment for all patients. Our findings highlight the potential of ML in optimizing treatment timelines and resource allocation, contributing to improved patient outcomes and advancing the medical system.

关键词： Medical services Predictive models Boosting Prediction algorithms Breast cancer Delays Resource management Socioeconomics Medical diagnostic imaging Regression tree analysis

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Generalized Likelyhood Ratio based Detection on Cyber-Attacks 37

Generalized Likelyhood Ratio based Detection on Cyber-Attack...

引用

37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Wu, Hao Zhang, Deyu Dept. of Software Henan University of Engineering Zhengzhou China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781665465366

In this paper, a generalized likelihood ratio based detection algorithm with a statistical method for threshold setting is proposed to detect cyber-attacks on a unified remote control architecture. Based on an encoder and a decoder embedded on plant side and remote controller side, respectively, not only additive interrupted signal (only effecting output or input signal), but also multiplicative attack signal could be detected easily. Finally, three numerical examples are provided to validate our proposed scheme. © 2022 IEEE.

关键词： Remote control

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Planning strategy based on visibility graph and traveling salesman problem with time window constraints

Planning strategy based on visibility graph and traveling sa...

引用

International Conference on System Theory, control, and Computing (ICSTCC)

作者： Mihaela-Alexandra Barb-Ciorbea Marius Kloetzer Cristian Mahulea Dept. of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Romania Aragón Institute of Engineering Research (I3A) University of Zaragoza Spain

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

This paper addresses the problem of planning the motion of a mobile robot that has to visit some points of interest, each point having a specific time interval in which it can be reached. The robot is omnidirectional and it evolves with constant speed in an environment cluttered with polygonal obstacles. In the case of no obstacles, the problem would be a Travelling Salesman Problem with Time Window (TSPTW) constraints. Our solution is innovative by enabling obstacles for TSPTW scenarios, and it accomplishes this by coupling visibility graphs, graph reduction and mathematical programming. The method first constructs a visibility graph based on the obstacles and points to be visited, and then it maps this graph to another graph whose nodes correspond only to robot’s initial position and points of interest. Finally, a TSPTW problem is solved on the reduced graph by using a Mixed Integer Linear Programming (MILP) mathematical formulation, and the solution is projected to the initial environment. The solution development is accompanied by illustrative numerical simulations.

关键词： Computational modeling Traveling salesman problems Numerical simulation Trajectory Planning Mixed integer linear programming Time factors Mobile robots Collision avoidance Optimization

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Compensation's Method of Collector Load's Parasitic Components in SiGe and SOI Cascode Amplifiers Operating at High Temperatures

Compensation's Method of Collector Load's Parasitic Componen...

引用

2024 International Conference on Electrical engineering and Photonics, EExPolytech 2024

作者： Bugakova, Anna V. Frolov, Ilya V. Ivanov, Yuri I. Dmitrienko, Nadezhda A. Don State Technical University Dept. Scientific Research Dept. Information Systems and Radio Engineering Rostov-on-Don Russia Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Elecronics of Russian Academy of Science Lab. Solid-State Electronics Opto- and Nanoelectronics Ulyanovsk Russia Southern Federal University Dept. Automatic Control Systems Rostov-on-Don Russia Dstu in Shakhty Dept. Foreign Languages Shakhty Russia

ISBN: (纸本)9798350388879

This paper considers the circuit method for neutralizing the effect of parasitic components of the collector load in silicon-germanium (SiGe) and silicon-on-insulator (SOI) classical cascade amplifiers and common-base stages on their voltage gain (Gain). The article demonstrates that the incorporation of a dedicated compensating circuit into the original circuits enables the enhancement of their upper frequency limit or gain by a factor of 5 to 10. The conditions for mitigating the impact of resistor parasites, which contribute to losses in planar inductance, on the Q-factor of the RLC-circuit of the selective amplifier are established. It is recommended that the proposed circuit solutions be employed in practical applications involving SiGe and SOI analog chips operating at elevated temperatures. © 2024 IEEE.

关键词： Cascode amplifiers

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Ensuring Safety for UAVs Through Event-Triggered Predictive control 32

Ensuring Safety for UAVs Through Event-Triggered Predictive ...

引用

32nd Mediterranean Conference on control and Automation, MED 2024

作者： Aspragkathos, Sotirios N. Karras, George C. Kyriakopoulos, Kostas J. School of Mechanical Engineering National Technical University of Athens Control Systems Lab Athens15780 Greece University of Thessaly Dept. of Informatics and Telecommunications Lamia35100 Greece Abu Dhabi128188 United Arab Emirates

ISBN: (纸本)9798350395440

This paper presents a control system for un-manned aerial vehicles (UAVs) that track deformable objects. Using Event-Triggered (ET) principles and Image Moments-Based Nonlinear Model Predictive control (NMPC), the suggested approach improves flexibility by triggering control changes in response to specific occurrences. The incorporation of Barrier Functions (BFs) enforces safety requirements, which are critical for negotiating uncertain terrains. The framework's implementation and testing on a UAV tracking deformable coastlines are intended to demonstrate its effectiveness in adapting to dynamic situations while adhering to safety limitations. © 2024 IEEE.

关键词： Antennas

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Fail-Safe Decision Architecture for Positioning Failures on Automated Vehicles 9

Fail-Safe Decision Architecture for Positioning Failures on ...

引用

9th IEEE Smart World Congress, SWC 2023

作者： Rodriguez-Arozamena, Mario Aranguren-Mendieta, Inigo Perez, Joshue Zubizarreta, Asier Tecnalia Basque Research and Technology Alliance Bilbao Derio Spain Basque Research and Technology Alliance Industry and Mobility Unit Tecnalia Derio Spain Dept. of Automatic Control and Systems Engineering Bilbao Spain

ISBN: (纸本)9798350319804

Precise localization is essential for the operation of Connected and Automated Vehicles (CAVs) in urban scenarios. Camera and LiDAR-based solutions are currently used in some of the CAVs around the world, but they entail an expensive performance in terms of computational time and economic cost. Due to this, Global Navigation Satellite System (GNSS) based solutions remains the preferred solution for positioning Automated Vehicles in different Operational Design Domains (ODDs). Although several improvements in system reliability have been made recently, in case of positioning failures most of the architectures rely on system redundancy or automation disengagements to achieve minimal risk conditions. This paper presents a fail-safe decision architecture for mitigating positioning failures of automated vehicles in urban scenarios. The proposed architecture utilizes a combination of sensor fusion localization and decision-making modules to ensure the safe and efficient operation of the vehicle in the event of a positioning failure. The proposed approach is evaluated through simulation in a representative urban scenario and is shown to effectively handle positioning failures, improving the localization accuracy provided by each information source. © 2023 IEEE.

关键词： automated driving fail-safe operation fallback strategy positioning failure safe state

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