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Model-Free Current Predictive control for PMSMs With Ultra-Local Model Employing Fixed-Time Observer and Extremum-Seeking Method

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IEEE Transactions on Power Electronics 2025年第8期40卷 10682-10693页

作者： Lin, Xinpo Liu, Jianxing Liu, Zhuang Gao, Yabin Peretti, Luca Wu, Ligang Harbin Institute of Technology Department of Control Science and Engineering Weihai264209 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China KTH Royal Institute of Technology Division of Electric Power and Energy Systems Stockholm10044 Sweden

Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain cases. To address this issue, this paper proposes a model-free predictive current controller for PMSMs. Specifically, the dynamic model of the motor currents is represented using two ultra-local models, which express the derivatives of a controlled output as the sum of an amplified control input and an unknown offset term. All system parameters, nonlinear terms, and unmodeled dynamics are encapsulated into two offset terms. Online estimation of these two offset terms is performed using a second-order fixed-time convergence observer without requiring exact knowledge of the system parameters in advance. In contrast to both the linear extended state observer and the super-twisting observer, the fixed-time observer enhances convergence speed while concurrently sustaining minimal chatting. To get rid of the need for model rated parameters, an extremum-seeking approach is utilized to tune the control gains in the ultra-local model, where the amplitude of the disturbance item in extremum-seeking approach is adaptively attenuated, resulting in effective reduction of the fluctuations of both the control gains and PMSM's currents in steady state. Subsequently, a predictive controller is designed using this ultra-local model. Finally, the effectiveness and advantages of the proposed control scheme are confirmed through experimental results. © 1986-2012 IEEE.

关键词： Permanent magnets

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Experimental and Numerical Simulation of an Ultra-Wideband Microstrip Antenna

Experimental and Numerical Simulation of an Ultra-Wideband M...

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2024 Conference of Young Researchers in Electrical and Electronic engineering, ElCon 2024

作者： Guz, Egor E. Zhamaladin, Zhasulan T. Kisel, Natalia N. Southern Federal University Institute of Radio Engineering Systems and Control Taganrog Russia

ISBN: (纸本)9798350360646

The results of modeling in the Altair FEKO environment the characteristics of a low-profile ultra-wideband microstrip monopole antenna for an unmanned aerial vehicle in the range of 3.5 - 16 GHz are presented. The influence of the geometric parameters of the antenna on its characteristics has been studied. The results of numerical modeling were verified with experimentally obtained data. It has been shown that it is possible to achieve an SWR of no higher than 2 with a successful choice of the geometric lengths of the antenna elements in the range of 3.5 GHz - 16 GHz. © 2024 IEEE.

关键词： conformal antenna low profile antenna monopole antenna ultra-wideband antenna unmanned aerial vehicle

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A Lightweight Target Following Architecture for Indoor Mobile Robot 25

A Lightweight Target Following Architecture for Indoor Mobil...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Wang, Fuli Hutabarat, Windo Tiwari, Ashutosh The University Of Sheffield Department Of Automatic Control And Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350340266

Manufacturing efficiency and transport operations are being significantly improved by mobile robots. As the implementation of a configurable, lightweight, and stateof-the-art robotic system is required for current manufacturing sectors to maximize the use of mobile robots, this paper presents a software architecture comprised of perception and action systems for human following in real time. The perception system uses the YOLOv8 computer vision model to identify and estimate human pose. Additionally, an algorithm is developed using the 3D information from a stereo camera to determine which target and whether to follow. Once the perception system perceives the desired target information, the action system can control and coordinate the robot using the ROS. Experimental results from the physical robot demonstrate the feasibility of the system architecture. © 2024 IEEE.

关键词： Mobile robots

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Design of Ultra-Wideband Microstrip Antenna for Wireless Communication Networks 9

Design of Ultra-Wideband Microstrip Antenna for Wireless Com...

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9th IEEE All-Russian Microwave Conference, RMC 2024

作者： Zhamaladin, Zhasulan T. Guz', Egor E. Kisel', Natalya N. Institute of Radio Engineering Systems and Control Southern Federal University Taganrog Russia

ISBN: (纸本)9798331540944

This paper presents a study of a low-profile printed microstrip UWB antenna in the frequency range of 4-15 GHz. The results of investigation of the characteristics of the UWB antennas (VSWR, gain, Radiation pattern characteristic, RCS) with different geometry of ground surfaces are presented. Several models of antennas are made, the comparative analysis of calculation results of experimental samples with their numerical models is carried out. A good agreement between the results of mathematical modeling and experimental characteristics of real antenna samples is shown. The influence of the substrate shape on the reduction of scattering characteristics of antennas is analyzed. Applying the presented topologies of the ground surface, makes possible to extend the operating frequency range of the antenna without using additional matching elements and reducing antenna dimensions. For this model, the operating frequency range was 2.7 GHz to 13 GHz, and it is realized only by modifying the shape of the ground surface. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Study of Energy Circulation Processes in Multilevel Voltage Inverter for Multifrequency Induction Heating of Metal

Study of Energy Circulation Processes in Multilevel Voltage ...

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2024 International Conference on Actual Problems of Electron Devices engineering, APEDE 2024

作者： Mirgorodskaya, Ekaterina Mityashin, Nikita Tregubova, Elizaveta Spivak, Anna Fedorov, Vitaly Department of Systems Engineering and Control in Technical Systems Yuri Gagarin State Technical University of Saratov Saratov Russia

ISBN: (纸本)9798350393316

The paper is devoted to the problem of energy flows studying in a universal multilevel inverter, when an output voltage with a complex and controlled harmonic composition of the curve is forming. It is intended for multifrequency induction heating of metal blocks containing of various sizes fragments. Energy processes in such inverter differ from those well studied in traditional two-level voltage inverters, which follows directly from the difference in the principles of the output voltage curve forming in these converters. The patterns studying of these processes in a universal multilevel inverter is the purpose of this article. The methodology for the goal achieving consists in identifying of the main energy flows between elements of its power circuit, development of their mathematical and computer models that allow studding of their flow patterns. The practical and scientific significance of results presented in the paper consists in their use to optimize the control system and justify the choice of elements parameters of the converter circuit for multifrequency metal heating equipment. © 2024 IEEE.

关键词： Induction heating

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A Power-Communication Co-Simulation Platform for Real-Time Microgrid Cyber Security Analysis

A Power-Communication Co-Simulation Platform for Real-Time M...

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2024 International Conference on Artificial Intelligence of Things and systems, AIoTSys 2024

作者： Qiu, Dongmeng Liu, Mengxiang Zhang, Xin University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798331507886

The rapid digitalisation process in power system has greatly benefited the large-scale integration of distributed energy resources (DERs), essentially accelerating the progress towards net zero. However, numerous cyber attacks such as false data injection (FDI) attacks are impeding the normal control and operation activities. This paper aims to establish a real-Time microgrid co-simulation platform to fully study the impacts of realistic attack events on micorgrid's control performance. Although there exist a large number of power-communication co-simulation platforms for the power system, they are designed to mainly provide validation services for control and operation algorithms and little attention has been paid to the cyber security. In the established microgrid platform, power and communication parts are simulated in Typhoon Hardware-in-The-loop(HIL) 602+ and EXata Network Simulator, respectively, and a dedicated synchronisation scheme is developed and embedded in Raspberry Pis to achieve master-slave data exchange between them. Based on the advanced cyber libraries provided by EXata, realistic FDI and packet drop attacks are mounted against the mapped communication links within EXata. The results indicate that these cyber attacks can severely influence the microgrid control performance including destabilising system states and specific state deviations, further demonstrating the necessity of deploying effective cyber-resilience enhancement mechanisms. © 2024 IEEE.

关键词： Cyber attacks

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Optimized Spatial Filter Selection for Transfer Learning in Brain-Computer Interface 3

Optimized Spatial Filter Selection for Transfer Learning in ...

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024

作者： A A Mohamed, Mohamed Giles, Joshua Arvaneh, Mahnaz University of Sheffield Automatic control and Systems Engineering Department Sheffield United Kingdom

ISBN: (纸本)9798350378009

The Common Spatial Patterns (CSP) algorithm has shown great efficacy in extracting features for Brain-Computer Interfaces (BCIs), particularly in motor imagery BCIs. However, CSP performs poorly when dealing with limited labeled data, which leads to long calibration time at the beginning of each session. To overcome this challenge, we leverage source data, i.e., labeled data from other subjects, to transfer knowledge across subjects. This work proposes a novel approach termed Scaled and Warped CSP-based Transfer Learning (SW-CSP-TL). This method aligns source data with the temporal and amplitude structure of target data before computing CSP filters, ensuring optimization for capturing discriminative features relevant to the target domain. We evaluate the proposed SW-CSP-TL algorithm using the publicly available dataset 2a from BCI Competition IV and compare its performance with that of the classical CSP algorithm and the transfer learning CSP algorithm (CSP-TL) without amplitude scaling and temporal warping. Our algorithm exhibits superior performance particularly when the training data size is relatively small. Results demonstrate that for 5 and 15 training trials per class from the target session, SW-CSP-TL outperformed the classical CSP by an average of 10%, and 8%, respectively. © 2024 IEEE.

关键词： Transfer learning

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Experimental Study of Ultra-Wideband Interference Attenuation in a Flexible Printed Circuit Board Cable 3

Experimental Study of Ultra-Wideband Interference Attenuatio...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Samoylichenko, Maria A. Zhechev, Evgeniy S. Zabolotsky, Alexander M. Tomsk State University of Control Systems and Radioelectronics Television and Control Department Tomsk Russia Tomsk State University of Control Systems and Radioelectronics Department of Microwave and Quantum Radio Engineering Tomsk Russia

ISBN: (纸本)9798331516321

The performance and functionality of radio electronic equipment depends on various factors including external. One of them is electromagnetic interference, in particular ultra-wideband interference. The paper considers the protection of radio-electronic equipment from the impact of ultra-wideband interference by using modal filtering in flexible printed cables. These cables are feature by a high degree of design and application diversity, which makes them particularly attractive for providing interconnections in modern electronic equipment. This material has a relatively high dielectric permittivity, which allows for a higher per-unit-length mode delay. We fabricated a flexible printed cable to conduct a full-scale experiment and studied it in the frequency and time domains. To validate the experimental studies, we performed quasistatic simulations. The experiment demonstrated that the ultra-wideband interference can be successfully attenuated in the cable, and the maximum attenuation was 3.6 times of the original value, with a bandwidth of 118 MHz. The discrepancy between the simulation and experimental results can be attributed to the unaccounted influence of coaxial-microstrip and coaxial transitions, as well as the discrepancy in dielectric electrical characteristics. © 2024 IEEE.

关键词： Radio equipment

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A Multi-Robot Allocation Scheme for Coverage control Applications with Multiple Areas of Interest 9

A Multi-Robot Allocation Scheme for Coverage Control Applica...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Duca, Rachael N. Bugeja, Marvin K. University of Malta Department of Systems and Control Engineering Malta

ISBN: (纸本)9798350311402

Coverage control with a multi-robot system requires the robot team to be optimally distributed across some environment. This environment may have multiple, distinct areas of interest, each of which associated with a specific task that requires robots with particular capabilities. In such scenarios, the first problem to be solved is that of assigning each robot in the team to one of the importance areas, while accounting for the robots' capabilities and the task/area requirements. This paper investigates this problem and proposes a novel multi-robot task allocation (MRTA) scheme in the context of coverage control. More specifically, the proposed method employs integer linear programming (ILP) to solve the constrained robot-to-task allocation problem. The resulting algorithm allocates each robot in the heterogeneous team to one of the importance areas, subject to a number of realistic constraints such as the tasks' requirements, and the robots' capabilities and energy levels. Our approach introduces elements of fault tolerance and robustness to situational changes, since it can also be executed periodically during the coverage process, to reassign the robots in case of robot faults, changes in the tasks/areas, and other factors that alter the allocation solution. The proposed scheme also has the advantage of being separate from the coverage control algorithm, and therefore supports a modular framework. Finally, a set of realistic simulated scenarios are used to validate the task allocation scheme being proposed. © 2023 IEEE.

关键词： Multipurpose robots

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Learning Input Driven Dynamic Bayesian Networks with Measurement Noise 23

Learning Input Driven Dynamic Bayesian Networks with Measure...

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23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024

作者： Veres, David Li, Ping Kadirkamanathan, Visakan The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350374889

Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectation Maximization (DI-EM) Algorithm is developed for the identification of grey-box ARMAX state-space model representations of DBNs involving known, noisy measurement processes. The grey-box model incorporates network dependencies among time series variables and exploits time series data of low longitudinal and high cross-sectional dimensions. A network learning procedure is developed using a score-based structure-selection method to find the underlying network of an input-driven dynamical system. By computing a finite data version of the Bayesian Information Criterion (BIC) for small sample sizes, the proposed method's performance is investigated on simulated and real-world data. The algorithm recovers the underlying ground-truth networks of simulated systems under finite data criteria with Jaccard Coefficient values of up to 0.84, and selects structures with improved weighted mean-squared error loss over a baseline black-box model fit on real-world data. © 2024 IEEE.

关键词： Expectation maximization algorithm

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