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Open-Source Chinese Power System with High Spatial and Temporal Resolution 5

Open-Source Chinese Power System with High Spatial and Tempo...

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5th International Conference on Energy, Electrical and Power engineering, CEEPE 2022

作者： Li, Bo Chen, Minyou Zhong, Haiwang Kammen, Daniel M. Li, Xuyang Chongqing University School of Electrical Engineering Chongqing China Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China Unversity of California Berkeley Energy and Resource Group Berkeley United States

ISBN: (纸本)9781665479059

Generation Expansion Planning (GEP), electricity market, and grid operation of the power system require a high spatial and temporal resolution model. However, limited data availability is the main obstacle to building a power system model with high resolution. This paper presents a method of constructing an open-source test power system with a high spatial resolution for transmission line topology and generation infrastructures and temporal resolution for variable renewable energy (VRE) sources and electricity demand. In addition, investment and operating cost information of existing infrastructures are summarized. A high-resolution open-source test power system representing China is created only by using publicly available data. The open-source Chinese power system can be used for the GEP model to investigate the low-carbon transition of the power system. © 2022 IEEE.

关键词： Renewable energy sources Power engineering Power transmission lines Energy resolution Power systems Topology Planning

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Data-Driven control of Adaptive Cruise control systems Using Differential Flatness and Gaussian Processes

Data-Driven Control of Adaptive Cruise Control Systems Using...

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American control Conference (ACC)

作者： Bhavini Jeloka Florentina Nicolau Adnane Saoud Ravi N. Banavar Systems and Control Engineering group IIT Bombay Georgia Tech. Quartz EA7393 Laboratory ENSEA France College of Computing University Mohammed VI Polytechnic Benguerir Morocco

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This paper develops a novel control methodology for the adaptive cruise control system under external, unknown dynamics to attain set point regulation. The approach employs differential flatness for controller design, along with Gaussian Processes to estimate the unknown components in the dynamics. In order to ensure robustness to this data-driven technique, a robust control law is also introduced, that further exploits the Gaussian Process framework. The error dynamics is shown to converge to zero with high probability. Numerical experiments to support the results are presented.

关键词： Robust control Adaptive systems Gaussian processes Robustness Regulation Cruise control

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Fault localization for intelligent automation systems

Fault localization for intelligent automation systems

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Endre Erős Kristofer Bengtsson Knut Åkesson Electrical Engineering Systems and Control Department Automation Research Group Chalmers University of Technology Gothenburg Sweden Research and Technology Development Volvo Group as Senior Researcher for Smart and Connected Operations Gothenburg Sweden

Conventional programming of explicit control code is unsuitable for flexible and collaborative production systems. A model-based approach, which focuses on defining capabilities of a system, instead of specifying how to achieve them, provides an alternative for creating complex, scalable, and reliable systems. This is accomplished through the use of behavior models, and tools such as planning, synthesis, verification, and testing. However, developing such models is not without challenges, as it is possible to overlook or incorrectly specify potential behavior and constraints. This can result in unsolvable planning problems or plans that are invalid for other reasons. When plans are unobtainable, developers receive no feedback, which makes model adjustments a difficult and time-intensive task. This paper recognizes these challenges as crucial barriers for adopting model-based development of intelligent automation systems. To facilitate the development of such systems, an approach for detecting and localizing faults in behavior models is presented. Drawing inspiration from software fault localization techniques, the proposed method involves identifying suspicious resources, variables, and operations. The effectiveness of this approach is illustrated with an example use case.

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Structural Coverability for Intelligent Automation systems

Structural Coverability for Intelligent Automation Systems

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Endre Erós Kristofer Bengtsson Knut Åkesson Electrical Engineering Systems and Control Department Automation Research Group Chalmers University of Technology Gothenburg Sweden Volvo Group as Senior Researcher for Smart and Connected Operations Research and Technology Development Gothenburg Sweden

In order to be flexible and handle complex scenarios, intelligent automation systems might benefit from automated planning techniques which rely on specifications and models describing their behavior. However, due to the presence of message passing, latency, jitter, timeouts, failures, and error handling, the verification of such behavior models using formal methods is often unfeasible. Therefore, testing has emerged as an approach to evaluating the behavior of intelligent automation systems. This paper presents a way to analyze structural coverability of behavior models for intelligent automation systems, which is inspired by the modified condition/decision coverage (MC/DC) criterion. This is paired with a testing procedure that enables each test case to influence both the controller and the simulated environment by injecting some specific state. As a result, the proposed coverability criterion can effectively identify segments of the behavior model that have not been adequately tested and suggest additional test cases to improve coverability. An example use case is presented to demonstrate the effectiveness of this approach.

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application

An Event-Triggered Tracking Control Scheme Based on Predicti...

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Chinese control Conference (CCC)

作者： Lei Cao Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup.

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Coordinated control of distributed multi-agent systems using event-triggered predictive control strategy

Coordinated control of distributed multi-agent systems using...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Lei Cao Chuanguo Chi Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

In this paper, the coordinated control problem for a class of distributed networked multi-agent systems (NMASs) is studied. An event-triggered predictive coordinated control (ETPCC) scheme is proposed to compensate for the communication delay between controllers as well as to reduce the communication frequency. With the aim of reducing the frequency of data transfer among controllers and saving resources, a distributed event-triggered condition is designed to decide when to transfer information. Further, a cost function using predicted values is proposed to measure the cooperative performance among the agents, and the required control increment for each agent is obtained by minimizing the cost function. Simulation and experimental examples show that the proposed ETPCC strategy works effectively.

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Indirect adaptive higher order sliding mode control for third order systems in parametric strict-feedback form

Indirect adaptive higher order sliding mode control for thir...

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IEEE Conference on Decision and control

作者： Lars Watermann Benedikt Andritsch Stefan Koch Markus Reichhartinger Martin Horn Johann Reger Control Engineering Group Technische Universität Ilmenau P.O. Box 100565 Ilmenau Germany Institute of Automation and Control Graz University of Technology Graz Austria Christian Doppler Laboratory for Model-Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this contribution the design of an indirect adaptive third order sliding mode controller based on a backstepping-like procedure is presented. A recursively defined homogeneous control Lyapunov function is combined with the adaptive backstepping method via tuning functions to compensate for unmatched parametric uncertainties. A matched bounded disturbance is eliminated by discontinuous control. It is shown that the states of the regarded system in parametric strict-feedback form converge asymptotically to the equilibrium while the parameter estimation error is bounded. Further, it is guaranteed that all control and adaptation signals are bounded. The proposed design is demonstrated in a simulation of a system with unmatched parametric uncertainty and matched disturbance.

关键词： Uncertainty Parameter estimation Backstepping Adaptive systems Robustness Tuning Sliding mode control Lyapunov methods Convergence

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Geometric Modelling and control of Flexible Serial Robot Links

Geometric Modelling and Control of Flexible Serial Robot Lin...

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European control Conference (ECC)

作者： Nishant Mittal Shreya Shrivastava Viyom Vivek José Ángel Acosta Ravi Banavar Electrical Engg. Dept. IIT Bombay Engg. Phy. Dept. IIT Bombay Systems & Control group IIT Bombay Dept. de Ingeniería de Sistemas y Automática Universidad de Sevilla Spain Systems & Control Engineering group IIT Bombay

The article presents the initial attempts to provide a geometric framework for modelling and control of flexible link robotic manipulators whose end-effector interacts with a compliant surface. The case study presented here restricts itself to planar flexible link manipulators. Ideas from Lie groups and Lie algebras have been employed to derive the forward and inverse kinematic maps, and their associated Jacobian. Finally we employ the geodesic equation to write down the comprehensive dynamical equations of the system. A geometrical interpretation of the Jacobian is presented and a velocity-level control law proposed earlier in literature is recast in the geometric language. Lastly we incorporate Christoffel symbols in the dynamic model of the flexible manipulator highlighting the underlying geometry. Using this framework, an existing velocity based control law is synthesized and simulated. Results demonstrate that the geometric framework yields a smoother and faster error convergence.

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Robust Replanning for Multi-Agent SmallSat Inspection in Failure Scenarios

Robust Replanning for Multi-Agent SmallSat Inspection in Fai...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Iversflaten, Markus H. Hansson, Alexander Sternberg, David C. Jia-Richards, Oliver Albee, Keenan Department of Engineering Cybernetics Norwegian University of Science and Technology 7034 Trondheim Trondheim7034 Norway ETH Zürich Rämistrasse 101 Zürich8092 Switzerland Payload/Instrument Pointing Control Systems Engineering Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Department of Aerospace Engineering University of Michigan Ann ArborMI United States Maritime and Multi-Agent Autonomy Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Future space structures like the proposed Lunar Gateway may benefit from autonomous inspection and maintenance, especially during extended uncrewed periods. Small satellites (SmallSats) offer a low-cost alternative to human extravehicular activities (EVAs) for performing these tasks. However, SmallSats have a high failure rate, particularly with propulsion systems, often causing mission failures. This work is motivated by this failure rate and considers a multi-agent approach to SmallSat inspection as a way of increasing mission success through redundancy. The added risk of the multi-agent approach, namely collision risk during thruster or other system failures, is addressed. We propose a collision-aware path-planning strategy based on the Anytime Dynamic A* (AD*) algorithm, enabling efficient initial path generation and dynamic replanning in response to failures. Implementation considerations like collisionchecking in a high-fidelity simulation environment are discussed. The proposed strategy is demonstrated in a case study multi-agent inspection scenario around simulated Lunar Gateway geometry, where one SmallSat experiences a thruster failure, prompting other agents to replan their paths. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Small Satellites Extravehicular Activity Motion Planning Propulsion System Space Structures Space Infrastructure control Moment Gyroscope International Space Station Astronaut Clohessy Wiltshire Equation

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Time-Optimal Trajectory Planning in Highway Scenarios Using Basis-Spline Parameterization

Time-Optimal Trajectory Planning in Highway Scenarios Using ...

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International Conference on Intelligent Transportation

作者： Philip Dorpmüller Thomas Schmitz Naveen Bejagam Torsten Bertram TU Dortmund University Institute of Control Theory and Systems Engineering Dortmund Germany ZF Group Automated Driving and Integral Cognitive Safety Düsseldorf Germany

Basis splines enable a time-continuous feasibility check with a finite number of constraints. Constraints apply to the whole trajectory for motion planning applications that require a collision-free and dynamically feasible trajectory. Existing motion planners that rely on gradient-based optimization apply time scaling to implement a shrinking planning horizon. They neither guarantee a recursively feasible trajectory nor enable reaching two terminal manifold parts at different time scales. This paper proposes a nonlinear optimization problem that addresses the drawbacks of existing approaches. Therefore, the spline breakpoints are included in the optimization variables. Transformations between spline bases are implemented so a sparse problem formulation is achieved. A strategy for breakpoint removal enables the convergence into a terminal manifold. The evaluation in an overtaking scenario shows the influence of the breakpoint number on the solution quality and the time required for optimization.

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