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2024 American control Conference, ACC 2024

作者： Beijen, Michiel Op Smeijers, Thijs Tijman Boerrigter, Gijs Van Den Eijnden, Sebastiaan University of Twente Group of Precision Engineering Department of Engineering Technology Enschede7500 AE Netherlands Demcon High-Tech Systems Enschede7521 PH Netherlands Eindhoven University of Technology Control Systems Technology Group Department of Mechanical Engineering Eindhoven5600 MB Netherlands

ISBN: (纸本)9798350382655

Peristaltic pumps are used for transporting liquids within disposable tubes, and are commonly found in medical devices. The peristaltic pump principle, however, introduces disturbances, thereby distorting the desired rotational speed of the pump. Proportional plus double integral (PI2) control is commonly used to reject these disturbances, but at the cost of deteriorated transient response and robustness margins. To balance these trade-offs in a more desirable manner, in this paper we propose a hybrid PI2 control strategy that allows for reducing the steady-state error while maintaining robustness margins similar to linear PI2 control. Experiments on a representative setup demonstrate up to 45% improvement in disturbance rejection capabilities. © 2024 AACC.

关键词： Disturbance rejection

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A Principal Bundle Framework for Generalised Notions of Formation and Rigidity ⁎

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IFAC-PapersOnLine 2024年第6期58卷 262-267页

作者： Rama Seshan C Ravi N Banavar Arun D Mahindrakar Control and Optimization Group IIT Madras India Systems and Control Engineering IIT Bombay India

In this work, the notions of formation and rigidity (first developed for formation control in Euclidean spaces) are recast in a general framework of principal fiber bundles and a control law is derived for second order systems for driving the system to a given formation. The Euclidean inter-agent distance measurements and congruence transformations are generalised as output maps and Lie group actions respectively, to capture more generic scenarios.

关键词： Formation Rigidity fiber Bundle Multi-Agent systems Geometric Mechanics

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Hybrid offshore wind turbines: control-oriented modeling approaches 6th

Hybrid offshore wind turbines: Control-oriented modeling app...

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6th International Conference on Renewable Energies Offshore, RENEW 2024

作者： Ahmad, I. M’zoughi, F. Aboutalebi, P. Garrido, I. Garrido, A.J. Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Engineering School of Bilbao—EIB/BIE Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Bilbao Spain

ISBN: (纸本)9781032905570

In the pursuit of sustainable electricity generation from offshore wind and wave energy, the combination of Floating Offshore Wind Turbines (FOWTs) and Oscillating Water Columns (OWCs) has emerged as a promising solution to enhance the working lifespan of this kind of systems. This study introduces a control-focused modeling approach, using empirical data collected from the widely accepted FAST environment, to implement advanced control laws for these integrated platforms. Leveraging Long Short-Term Memory (LSTM) and Artificial Neural Networks (ANN), the research yields predictive models that effectively capture the platform pitch dynamics so as to optimize control strategies. By integrating advanced machine learning techniques, these approaches address the challenges of modeling floating offshore structures in dynamic environments. In this sense, the neuro-estimators developed in this study closely match the original plant results, offering researchers a straightforward way to implement complex control schemes that could hardly be implemented over the original non-linear system. © 2025 The Author(s).

关键词： Offshore wind turbines

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Fault detection and diagnosis using the dynamic network framework ⁎

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IFAC-PapersOnLine 2024年第15期58卷 384-389页

作者： Yibo Shi Stefanie J.M. Fonken Paul M.J. Van den Hof Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

A local model-based method for fault detection and diagnosis (FDD) in large-scale interconnected network systems is introduced, using models in a dynamic network framework. To this end, model validation methods are developed for validating single modules in a dynamic network, which are generalized from the classical auto- and cross-correlation tests for open- and closed-loop systems. Invalidation of the model can indicate the detection of a fault in the system. A fault diagnosis algorithm is developed that includes fault isolation and optimal placement of external excitation signals. Numerical illustrations demonstrate the method’s capability to detect a fault in a local module and isolate it within the entire network system.

关键词： Fault interconnected system dynamic network model validation correlation test

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Risk-Aware MPC for Stochastic systems with Runtime Temporal Logics

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IFAC-PapersOnLine 2024年第11期58卷 93-98页

作者： M.H.W. Engelaar Z. Zhang M. Lazar S. Haesaert Department of Electrical Engineering (Control Systems Group) Eindhoven University of Technology The Netherlands

This paper concerns the risk-aware control of stochastic systems with temporal logic specifications dynamically assigned during runtime. Conventional risk-aware control typically assumes that all specifications are predefined and remain unchanged during runtime. In this paper, we propose a novel, provably correct model predictive control scheme for linear systems with additive unbounded stochastic disturbances that dynamically evaluates the feasibility of runtime signal temporal logic specifications and automatically reschedules the control inputs accordingly. The control method guarantees the probabilistic satisfaction of newly accepted specifications without sacrificing the satisfaction of the previously accepted ones. The proposed control method is validated by a robotic motion planning case study.

关键词： Linear stochastic systems Probabilistic constraints Real-time control Stochastic model predictive control Temporal logic

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SYSDYNET - A MATLAB App and Toolbox for Dynamic Network Identification ⁎ , ⁎⁎

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IFAC-PapersOnLine 2024年第15期58卷 574-579页

作者： Paul M.J. Van den Hof Shengling Shi Harm H.M. Weerts Xiaodong Cheng Karthik R. Ramaswamy Arne G. Dankers H.J. (Mannes) Dreef Stefanie J.M. Fonken Tom R.V. Steentjes Job B.T. Meijer Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

Identification in interconnected systems requires the handling of phenomena that go beyond the classical open-loop and closed-loop type of identification problems. Over the last decade a comprehensive theory has been developed for addressing identification problems in linear dynamic networks, formulated in a module framework, where the network structure is characterized by a directed graph in which nodes are signals and links are transfer functions. The resulting methods and approaches have been collected in a MATLAB App and Toolbox, supported by an attractive graphical user interface that provides an interactive workflow for manipulating the structural properties of dynamic networks, applying basic network operations like immersion and module invariance testing, and for investigating network/module generic identifiability and selecting appropriate predictor model inputs and outputs. The workflow supports the allocation of external excitation signals (actuation) and measured node signals (sensing) so as to achieve generic identifiability and provide consistent estimation of target modules. The Toolbox includes algorithms for actual network simulation and identification.

关键词： System identification identifiability dynamic networks interconnected systems

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FORMAL GRID INTEGRATION OF PHOTOVOLTAIC AND WIND POWER USING THE MODEL REFERENCE control APPROACH 23

FORMAL GRID INTEGRATION OF PHOTOVOLTAIC AND WIND POWER USING...

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23rd Wind and Solar Integration Workshop, WIW 2024

作者： Schulte, Horst Fortmann, Jens Brunner, Johannes University of Applied Sciences HTW Berlin Faculty 1 School of Engineering - Energy and Information Renewable Energy and Control Systems Group Berlin12459 Germany

ISBN: (纸本)9781837242689

In this paper, a model-reference control scheme for nonlinear systems in the Takagi-Sugeno form is proposed for formal grid integration of photovoltaic and wind power. Formal in terms of a structural model-based design of grid-integrated wind and photovoltaic systems as demand-oriented power sources. The proposed scheme is applied to a generic Type-4 wind turbine for the partial and full-load region and a photovoltaic power plant with two stages separated into an aggregated PV array and a DC/DC converter. Using the wind turbine as an example, the coefficients of the model controller are calculated using a set of proposed LMI conditions. The design process is described in detail, including a controller performance test under different wind speed conditions. © Energynautics GmbH.

关键词： Wind power integration

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Virtual flight deck crew assistance utilizing artificial intelligence methods to interpret NOTAMs: a user acceptance study

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CEAS Aeronautical Journal 2024年第4期15卷 1137-1144页

作者： Dieter, Michelle Sprenger, Eric Pasnicu, Otilia Staudt, Josefine Ellenrieder, Nils Institute of Flight Systems and Automatic Control Technical University of Darmstadt Otto-Berndt-Str. 2 Darmstadt64287 Germany Work and Engineering Psychology Research Group Technical University of Darmstadt Alexanderstr. 10 Darmstadt64283 Germany

Over the past few years, artificial intelligence (AI) and machine learning (ML) methods have become deeply embedded in everyday applications. Great progress has been made, which is why these methods are now being introduced to other areas including aviation. The use of such methods in safety-critical areas like aviation, medicine or jurisdiction, entails not only benefits but also challenges, such as regulatory and ethical aspects and the necessary acceptance of users and other stakeholders. This research paper presents the findings of a qualitative user study conducted to investigate the potential benefits of integrating AI on the flight deck to improve the usability of Notices to Airmen (NOTAMs). Currently, pilots receive a large amount of NOTAMs for each flight. This overload of information can lead to important information being overlooked. Semi-structured interviews with ten pilots were conducted to gather their perspectives on current challenges in their daily work with NOTAMs, acceptance of AI-based methods in aviation with focus on the flight deck and possible fields of applications. Recommendations are derived for future developments. The findings suggest that methods based on AI have the potential to improve the usability of NOTAMs, making them more efficient and user-friendly for pilots. Additionally, the study highlights the importance of addressing pilots’ concerns and taking into account human factors, safety considerations, and the need for effective human–machine collaboration. © Deutsches Zentrum für Luft- und Raumfahrt e.V. 2024.

关键词： Aviation medicine

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The All Wheel Speed Balance control Concept 27

The All Wheel Speed Balance Control Concept

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Atheupe, Gael P. Martinez, Didier Monsuez, Bruno Renault Technical Centre Renault Group & Ensta Paris Paris France Renault Technical Centre Renault Group Dept. Chassis Control & Adas Systems Guyancourt France Ensta Paris Dept. Computer Science & Systems Engineering Paris France

ISBN: (纸本)9798331505929

The transition to vehicle electrification introduces new demands on chassis dynamics, paving the way for advances in driving dynamics, safety, and efficiency. A key consideration arises: how are driving torque impulses converted in electric vehicles with multiple power sources? This study introduces a novel approach to address these demands through the integration of state-of-the-art yaw control, using concurrent front/rear axle and front right/front left torque distribution based on the wheel speed balance control concept. Our aim is not necessarily to demonstrate the supremacy of our approach, but rather to present a fresh philosophical perspective on the problem of yaw control in electric vehicles. Our method embodies dynamic load transfer and axle dynamics into the yaw control problem formulation, setting it apart from current methodologies. Through experimental results, we illustrate the effectiveness of our proposed approach regardless of road surface conditions. © 2024 IEEE.

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Data-Driven LIDAR Feedforward Predictive Wind Turbine control

Data-Driven LIDAR Feedforward Predictive Wind Turbine Contro...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Dinkla, Rogier Oomen, Tom Wingerden, Jan-Willem Van Mulders, Sebastiaan P. Delft University of Technology Delft Center for Systems and Control Faculty of Mechanical Engineering Mekelweg 2 Delft2628 CD Netherlands Eindhoven University of Technology Control Systems Technology Group Department of Mechanical Engineering Eindhoven5600 MB Netherlands

ISBN: (纸本)9798350335446

Light Detection and Ranging (LIDAR)-assisted Model Predictive control (MPC) for wind turbine control has received much attention for its ability to incorporate future wind speed disturbance information in a receding horizon optimal control problem. However, the growth of wind turbine sizes results in increasing system complexity and system interactions, and complicates the design of model-based controllers like MPC. Together with increasing data availability, this obstacle motivates the use of direct data-driven predictive control approaches like Subspace Predictive control (SPC). An SPC implementation is developed that both does not suffer from traditional, potentially detrimental closed-loop identification bias and incorporates past and future (not necessarily periodic) disturbance information. Simulations of the presented method for above-rated wind turbine rotor speed regulation using pitch control demonstrate the capabilities of the data-driven SPC algorithm for increasing degrees of wind speed disturbance information in the developed framework. © 2023 IEEE.

关键词： Model predictive control

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