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2024 IEEE International Conference on Electrical Energy Conversion systems and control, IEECSC 2024

作者： Cui, Xiaodan Wang, Yanpin Wu, Jialong Wang, Shilu Fen, Jiaqi Deng, Kui Power System Stability Control Technology Branch Company Nari Group Corporation Nanjing China College of Electrical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350389357

The large-scale integration of wind farms poses challenges to the safe and stable operation of power systems. Establishing a simulation model that accurately reflects the dynamic characteristics of wind farms is essential for power system analysis. However, detailed electromagnetic transient models of wind farms are computationally intensive and hinder further analysis. This paper addresses this issue by proposing an equivalent model that captures the response characteristics of wind farms. It examines the structure and control methods of direct-drive wind turbines, develops electromagnetic transient models for various wind turbines using PSCAD/EMTDC software, and constructs a model of an actual wind farm. The paper compares and analyzes three equivalent methods, evaluates their performance under different wind speeds and fault scenarios, and elucidates the advantages and disadvantages of these methods for wind farms with diverse turbine types. © 2024 IEEE.

关键词： Electromagnetic transients

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Space-Filling Input Design for Nonlinear State-Space Identification ⁎

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IFAC-PapersOnLine 2024年第15期58卷 562-567页

作者： Máté Kiss Roland Tóth Maarten Schoukens Control System group Eindhoven University of Technology Eindhoven the Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

The quality of a model resulting from (black-box) system identification is highly dependent on the quality of the data that is used during the identification procedure. Designing experiments for linear time-invariant systems is well understood and mainly focuses on the power spectrum of the input signal. Performing experiment design for nonlinear system identification on the other hand remains an open challenge as informativity of the data depends both on the frequency-domain content and on the time-domain evolution of the input signal. Furthermore, as nonlinear system identification is much more sensitive to modeling and extrapolation errors, having experiments that explore the considered operation range of interest is of high importance. Hence, this paper focuses on designing space-filling experiments i.e., experiments that cover the full operation range of interest, for nonlinear dynamical systems that can be represented in a state-space form using a broad set of input signals. The presented experiment design approach can straightforwardly be extended to a wider range of system classes (e.g., NARMAX). The effectiveness of the proposed approach is illustrated on the experiment design for a nonlinear mass-spring-damper system, using a multisine input signal.

关键词： Experiment Design Nonlinear system Identification State-Space

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Baseline Results for Selected Nonlinear system Identification Benchmarks

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IFAC-PapersOnLine 2024年第15期58卷 474-479页

作者： Max Champneys Gerben I. Beintema R. Tóth Maarten Schoukens Timothy J. Rogers Dynamics Research Group University of Sheffield Sheffield UK Control System group Eindhoven University of Technology Eindhoven the Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

Nonlinear system identification remains an important open challenge across research and academia. Large numbers of novel approaches are seen published each year, each presenting improvements or extensions to existing methods. It is natural, therefore, to consider how one might choose between these competing models. Benchmark datasets provide one clear way to approach this question. However, to make meaningful inference based on benchmark performance it is important to understand how well a new method performs comparatively to results available with well-established methods. This paper presents a set of ten baseline techniques and their relative performances on five popular benchmarks. The aim of this contribution is to stimulate thought and discussion regarding objective comparison of identification methodologies.

关键词： Nonlinear system Identification Benchmarks NARX Nonlinear State-Space

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Relative Position-Based Collaborative Navigation for Cluster UAVs 7th

Relative Position-Based Collaborative Navigation for Cluster...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Sheng, Danting Cheng, Jin Li, Fengyi Hao, Mingrui Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Aerospace Science and Industry Group Intelligent Technology Research Institute Co. Ltd. Beijing100074 China

ISBN: (纸本)9789819733316

The inertial equipment carried by UAVs without satellite signal assistance will accumulate errors over time, which cannot meet the requirement of obtaining high-precision cluster navigation information for cluster UAVs in long-duration flights. Aiming at this problem, a scheme for cooperative navigation of cluster UAVs based on relative position assistance is proposed. Firstly, the state equations of the cooperative navigation system are established by modeling the errors of inertial devices of low-precision UAVs;secondly, the relative position information of low-precision UAVs and high-precision UAVs as well as other low-precision UAVs transmitted between UAVs through the data chain is taken as the observation equation;finally, the inertial errors of low-precision UAVs are compensated by using the traceless Kalman filtering for the error compensation, which improves the navigation accuracy. After 30 min simulation results show that the cooperative navigation scheme converges the velocity and position errors of the low-precision UAV to 0.5 m/s and 5 m, respectively, which improves the navigation accuracy greatly. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

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Learning control Applied to a Digital-to-analogue Converter

Learning Control Applied to a Digital-to-analogue Converter

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2023 IEEE Conference on control technology and Applications, CCTA 2023

作者： Van Rijt, Noa Faza, Ahmad Oomen, Tom Eielsen, Arnfinn A. Eindhoven University Control System Technology Research Group EindhovenAZ 5612 Netherlands Stavanger University Department of Energy and Petroleum Engineering Stavanger4021 Norway

ISBN: (纸本)9798350335446

Digital-to-analogue converters (DACs) exhibit several non-ideal effects that deteriorate performance. Methods in feedback control can reduce such effects. Due to implementation limitations, the feedback signal in existing schemes is produced by open-loop observers, known as ΔΣ-modulation, that mitigate the observed adverse effects only partially. Measurement feedback can compensate for non-ideal behaviour and disturbances that are difficult to model. Learning control (LC) is introduced to overcome practical problems of measurement feedback in DACs, therewith omitting the need for accurate open-loop observers. Experimental results demonstrate a 95% improvement in RMS error when using LC with measurement feedback, compared to ΔΣ-modulation using observer feedback. © 2023 IEEE.

关键词： Learning algorithms

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Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach

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IFAC-PapersOnLine 2023年第2期56卷 5146-5151页

作者： Rishi Ramkannan Gerben I. Beintema Roland Tóth Maarten Schoukens Control System group Eindhoven University of Technology Eindhoven the Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

The SUBNET neural network architecture has been developed to identify nonlinear state-space models from input-output data. To achieve this, it combines the rolled-out nonlinear state-space equations and a state encoder function, both parameterised as neural networks The encoder function is introduced to reconstruct the current state from past input-output data. Hence, it enables the forward simulation of the rolled-out state-space model. While this approach has shown to provide high-accuracy and consistent model estimation, its convergence can be significantly improved by efficient initialization of the training process. This paper focuses on such an initialisation of the subspace encoder approach using the Best Linear Approximation (BLA). Using the BLA provided state-space matrices and its associated reconstructability map, both the state-transition part of the network and the encoder are initialized. The performance of the improved initialisation scheme is evaluated on a Wiener-Hammerstein simulation example and a benchmark dataset. The results show that for a weakly nonlinear system, the proposed initialisation based on the linear reconstructability map results in a faster convergence and a better model quality.

关键词： Nonlinear system Identification Machine Learning Neural Networks State-Space Best Linear Approximation

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A Modified Iterative Learning control Approach for the Active Suppression of Rotor Vibration Induced by Coupled Unbalance and Misalignment

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Chinese Journal of Mechanical Engineering 2024年第1期37卷 242-253页

作者： Yifan Bao Jianfei Yao Fabrizio Scarpa Yan Li College of Mechanical and Electrical Engineering Beijing University of Chemical TechnologyBeijing 100029China State Key Laboratory of High-end Compressor and System Technology Beijing 100029China Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery Beijing University of Chemical TechnologyBeijing 100029China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China Bristol Composites Institute(ACCIS) University of BristolBristol BS81TRUK Dynamics and Control Research Group(DCRG) University of BristolBristol BS81TRUK

This paper proposes a modified iterative learning control(MILC)periodical feedback-feedforward algorithm to reduce the vibration of a rotor caused by coupled unbalance and parallel *** control of the vibration of the rotor is provided by an active magnetic actuator(AMA).The iterative gain of the MILC algorithm here presented has a self-adjustment based on the magnitude of the *** filters are adopted to extract the synchronous(1×Ω)and twice rotational frequency(2×Ω)components of the rotor *** the notch frequency of the filter and the size of feedforward storage used during the experiment have a real-time adaptation to the rotational *** method proposed in this work can provide effective suppression of the vibration of the rotor in case of sudden changes or fluctuations of the rotor *** and experiments using the MILC algorithm proposed here are carried out and give evidence to the feasibility and robustness of the technique proposed.

关键词： Rotor vibration suppression Modified iterative learning control Unbalance Parallel misalignment Active magnetic actuator

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Fault Diagnosis of Rolling Bearings in VMD and GWO-ELM 3

Fault Diagnosis of Rolling Bearings in VMD and GWO-ELM

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2022 3rd International Conference on Smart Grid and Energy Engineering, SGEE 2022

作者： Jiang, Haisheng Lu, Hongyu Zhou, Jun Liu, Mingxiang Nari Group Corporation State Grid Electric Power Research Institute China NARI Technology Nanjing Control System Co. Ltd Jiangsu Nanjing230001 China

Strong noise, nonlinearity, and complex frequency are the remarkable symbols of vibration signals when rolling bearing failure. So a new method that improved the accuracy of rolling bearing fault diagnosis is proposed based on variational mode decomposition (VMD) and grey wolf algorithm optimized extreme learning machine (GWO-ELM). The bearing vibration signal is decomposed by VMD, and decomposed Intrinsic Mode Component (IMF) is used for fuzzy entropy calculation to construct a multi-scale complexity eigenvector. The fault pattern recognition is carried out in the extreme learning machine afterward. The parameter selection problem in VMD and fuzzy entropy algorithm is analysed through the experimental fault data of the rolling bearing, and the noise robustness of the experimental data is verified. Through fault data of rolling bearings on site, the comparison of the results shows that the GWO-ELM model can effectively identify the abnormal conditions, and has a faster training and learning speed in diagnosing the faults. © Published under licence by IOP Publishing Ltd.

关键词： Roller bearings

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Space-Filling Input Design for Nonlinear State-Space Identification

arXiv

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arXiv 2024年

作者： Kiss, Máté Tóth, Roland Schoukens, Maarten Control System group Eindhoven University of Technology Eindhoven Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

关键词： Frequency domain analysis

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Frequency control Strategy of Energy Storage and Thermal Power Unit Considering Cost and Performance 3

Frequency Control Strategy of Energy Storage and Thermal Pow...

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2022 3rd International Conference on Smart Grid and Energy Engineering, SGEE 2022

作者： Liu, Jiajie Zhu, Jianguo Tao, Hongfei Wei, Nan Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan030000 China Shaoxing Jianyuan Electric Power Group Co. Ltd Shaoxing312000 China

Considering differentiated frequency regulation(FR) characteristics between energy storages and thermal power units, a frequency control strategy considering cost and performance is proposed to realize the complementary advantages of them. A joint objective of minimizing total cost and minimizing the penalty for failure of energy storage to track a given signal is proposed. The technical characteristics of FR resources, such as power and creep rate, are adopted as constraints. The comparison results demonstrate that the suggested approach improves the FR regional grid's performance and reduces the regulation cost. © Published under licence by IOP Publishing Ltd.

关键词： Energy storage

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