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arXiv 2021年

作者： Kuang, Zhian Sun, Liting Gao, Huijun Tomizuka, Masayoshi Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Mechanical Control System Lab Mechanical Engineering Department University of California BerkeleyCA94720 United States

In this paper, a practical fractional-order variable-gain super-twisting algorithm (PFVSTA) is proposed to improve the tracking performance of wafer stages for semiconductor manufacturing. Based on the sliding mode control (SMC), the proposed PFVSTA enhances the tracking performance from three aspects: 1) alleviating the chattering phenomenon via super-twisting algorithm and a novel fractional-order sliding surface (FSS) design, 2) improving the dynamics of states on the sliding surface with fast response and small overshoots via the designed novel FSS and 3) compensating for disturbances via variable-gain control law. Based on practical conditions, this paper analyzes the stability of the controller and illustrates the theoretical principle to compensate for the uncertainties caused by accelerations. Moreover, numerical simulations prove the effectiveness of the proposed sliding surface and control scheme, and they are in agreement with the theoretical analysis. Finally, practice-based comparative experiments are conducted. The results show that the proposed PFVSTA can achieve much better tracking performance than the conventional methods from various perspectives. Copyright © 2021, The Authors. All rights reserved.

关键词： Sliding mode control

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Urban Digital Twins for Intelligent Road Inspection

Urban Digital Twins for Intelligent Road Inspection

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IEEE International Conference on Big Data

作者： Rui Fan Yikang Zhang Sicen Guo Jiahang Li Yi Feng Shuai Su Yanting Zhang Wenshuo Wang Yu Jiang Mohammud Junaid Bocus Xingyi Zhu Qijun Chen the Department of Control Science & Engineering Frontiers Science Center for Intelligent Autonomous Systems and State Key Laboratory of Intelligent Autonomous Systems Robotics & Artificial Intelligence Laboratory (RAIL) Tongji University Shanghai P. R. China Department of Computer Science & Technology Donghua University Shanghai P. R. China Department of Civil Engineering McGill University Montreal Canada CTO office at ClearMotion Billerica MA USA Department of Electrical & Electronic Engineering the University of Bristol BS8 1UB U.K Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji University Shanghai P. R. China

ISBN: (纸本)9781665480468

Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at ***/view/udtiri-workshop/bigdata-2022.

关键词： Roads Data acquisition Inspection Big Data Rough surfaces Digital twins

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Finite-time Frequency Estimator for Harmonic Signal

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IFAC-PapersOnLine 2020年第2期53卷 584-589页

作者： Alexey A. Bobtsov Anastasiia O. Vediakova Nikolay A. Nikolaev Olga V. Slita Anton A. Pyrkin Alexey A. Vedyakov Department of Control Systems and Robotics ITMO University Saint Petersburg Russia Laboratory “Control of Complex Systems” Institute of Problems of Mechanical Engineering V.O. Bolshoj pr. 61 St. Petersburg 199178 Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Department of Computer Applications and Systems Saint Petersburg State University Saint Petersburg Russia

This paper is devoted to a frequency estimation of a pure sinusoidal signal in finite-time. The parameterization is based on applying delay operators to a measurable signal. The result is the first-order linear regression model with one parameter, which depends on the signal frequency. The proposed method of finite-time estimation consists of two steps. On the first step, the standard gradient descent method is used to estimate the regression model parameter. On the next step using algebraic equations, finite-time frequency estimate is found. The described method does not require measuring or calculating derivatives of the input signal and uses one integrator for the gradient method and another one for the finite-time estimation. The efficiency of the proposed approach is demonstrated through the set of numerical simulations.

关键词： parameter estimation observers frequency estimation finite-time estimation

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A Soft Pneumatic Crawling Robot with Unbalanced Inflation*

A Soft Pneumatic Crawling Robot with Unbalanced Inflation*

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Naijia Wang Mengqi He Yushi Cui Yi Sun Peng Qi Department of Control Science and Engineering College of Electronics and Information Engineering Tongji University Shanghai China Sydney Institute for Robotics and Intelligent Systems and Australian Center for Field Robotics The University of Sydney Sydney Australia

ISBN: (数字)9781728167947

ISBN: (纸本)9781728167954

Soft pneumatic robots have gained research interests in many fields, showing an advantage of compliance and safeness to human-robotic interaction and various environments. In this paper, a multi/dual-chamber soft crawling robot based on unbalanced pneumatic actuation is presented, which requires only simple design and control to realize the forward locomotion and steering. The design is composed of three parts: the main part of the crawling robot is made of hyper-elastic silicone rubber; an unstretchable fabric is attached outside of part of the robot to form an exterior constraint; two chambers are mounted on the head as steering module. Experiments validate the design in principle and an adequate locomotion performance of the robot. Due to the simple, low-cost structure and its flexible actuation, such crawling robots can be used to perform pipeline exploration, search and rescue missions.

关键词： Pneumatic systems Friction Soft robotics Robot kinematics Pneumatic actuators

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State Observation of Affine-in-the-States Time-Varying systems with Unknown Parameters and Delayed Measurements

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IFAC-PapersOnLine 2021年第14期54卷 108-113页

作者： Alexey Bobtsov Nikolay Nikolaev Romeo Ortega Denis Efimov Department of Control Systems and Robotics ITMO University Kronverkskiy av. 49 Saint-Petersburg 197101 Russia Departamento Académico de Sistemas Digitales ITAM Ciudad de México México INRIA Univ. Lille CNRS UMR 9189 - CRIStAL F-59000 Lille France Laboratory “Control of Complex Systems” Institute of Problems of Mechanical Engineering V.O. Bolshoj pr. 61 St. Petersburg 199178 Russia

In this paper we address the problem of adaptive state observation of affine-in-the-states time-varying systems with delayed measurements and unknown parameters. The case with known parameters has been studied by many researchers—see [Sanz et al. 2019, Bobtsov et al. 2021] and references therein—where, similarly to the approach adopted here, the system is treated as a linear time-varying system. We show that the parameter estimation-based observer (PEBO) design proposed in [Ortega et al. 2015, 2020] provides a very simple solution for the unknown parameter case. Moreover, when PEBO is combined with the dynamic regressor extension and mixing (DREM) estimation technique [Aranovskiy et al. 2016, Ortega et al. 2019], the estimated state converges in fixed-time with extremely weak excitation assumptions.

关键词： Nonlinear time-varying systems state observer delay systems parameter estimation

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Artificial Neural Network-Based Direct Power control to Enhance the Performance of a Pmsg-Wind Energy Conversion System Under Real Wind Speed and Parameter Uncertainties: An Experimental Validation

SSRN

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SSRN 2023年

作者： Majout, Btissam Bossoufi, Badre Karim, Mohammed Skruch, Pawel Mobayen, Saleh El Mourabit, Youness El Zair Laggoun, Zakaria Laboratory of Engineering Modelling and Systems Analysis SMBA University Fez Morocco Department of Automatic Control and Robotics AGH University of Science and Technology Kraków30-059 Poland Graduate School of Intelligent Data Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan National School of Applied Sciences Abdelmalek Essaadi University Tetouan Morocco Laboratory of Electrotechnique Constantine Mentouri Brothers Constantine 1 University Constantine Algeria

With the increasing emphasis on embedding advanced technology into system controls, the Direct Power control (DPC) approach has garnered significant attention, owing to its straightforward and highly adaptable algorithm. It has been adopted in many applications. However, the variable frequency, harmonic distortion of the currents, and power ripples caused by Hysteresis controllers and switching tables decrease its effectiveness and robustness, affecting the system’s performance. For this reason, this paper proposed a new DPC based on Artificial Neural Network (ANN) approaches. In this approach, the hysteresis comparator and the switching table are substituted with ANN controllers and then applied on both sides: machine-side converter (MSC) and grid-side converter (GSC) of a Permanent Magnet Synchronous Generator based Wind Energy Conversion System (PMSG-WECS). Moreover, to make the system more efficient in varying wind conditions, this study expands the utilization of the artificial neural networks (ANN) to encompass the maximum power point tracking (MPPT) control strategy. To demonstrate the effectiveness of the proposed approach on the system behaviors, a simulation test was carried out in the Matlab/Simulink environment, using a real wind profile of a Moroccan city (Essaouira). In comparison to the classical DPC control, the simulation results showed the superior performance of the proposed ANN-DPC control in terms of reference tracking, response time, overshoot, precision, and its capacity to reduce the rate of power ripples and total harmonic distortion (THD) in the injected currents. Furthermore, a robustness test was also included in this work to check the robustness of the proposed control against parameters variation. In conclusion, the feasibility and effectiveness of the ANN-DPC control approach were confirmed through experimental validation using the dSPACE DS1104 board. © 2023, The Authors. All rights reserved.

关键词： MATLAB

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Minimization of constraint violation probability in model predictive control

arXiv

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arXiv 2020年

作者： Brüdigam, Tim Gaßmann, Victor Wollherr, Dirk Leibold, Marion The Department of Automatic Control Engineering The Technical University of Munich Germany The Department of Robotics Artificial Intelligence and Real-time Systems The Technical University of Munich Germany

While Robust Model Predictive control considers the worst-case system uncertainty, Stochastic Model Predictive control, using chance constraints, provides less conservative solutions by allowing a certain constraint violation probability depending on a predefined risk parameter. However, for safety-critical systems it is not only important to bound the constraint violation probability but to reduce this probability as much as possible. Therefore, an approach is necessary that minimizes the constraint violation probability while ensuring that the Model Predictive control optimization problem remains feasible. We propose a novel Model Predictive control scheme that yields a solution with minimal constraint violation probability for a norm constraint in an environment with uncertainty. After minimal constraint violation is guaranteed the solution is then also optimized with respect to other control objectives. Further, it is possible to account for changes over time of the support of the uncertainty. We first present a general method and then provide an approach for uncertainties with symmetric, unimodal probability density function. Recursive feasibility and convergence of the method are proved. A simulation example demonstrates the effectiveness of the proposed method. Copyright © 2020, The Authors. All rights reserved.

关键词： Robust control

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Learning hybrid control barrier functions from data

arXiv

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arXiv 2020年

作者： Lindemann, Lars Hu, Haimin Robey, Alexander Zhang, Hanwen Dimarogonas, Dimos V. Tu, Stephen Matni, Nikolai Division of Decision and Control Systems KTH Royal Institute of Technology Sweden Department of Electrical and Systems Engineering University of Pennsylvania United States Google Brain Robotics United States

Motivated by the lack of systematic tools to obtain safe control laws for hybrid systems, we propose an optimization-based framework for learning certifiably safe control laws from data. In particular, we assume a setting in which the system dynamics are known and in which data exhibiting safe system behavior is available. We propose hybrid control barrier functions for hybrid systems as a means to synthesize safe control inputs. Based on this notion, we present an optimization-based framework to learn such hybrid control barrier functions from data. Importantly, we identify sufficient conditions on the data such that feasibility of the optimization problem ensures correctness of the learned hybrid control barrier functions, and hence the safety of the system. We illustrate our findings in two simulations studies, including a compass gait walker. Copyright © 2020, The Authors. All rights reserved.

关键词： Hybrid systems

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A Task Allocation Approach for Human-Robot Collaboration in Product Defects Inspection Scenarios

A Task Allocation Approach for Human-Robot Collaboration in ...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Hossein Karami Kourosh Darvish Fulvio Mastrogiovanni Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa Italy Dynamic Interaction Control Istituto Italiano di Tecnologia Genova Italy

ISBN: (数字)9781728160757

ISBN: (纸本)9781728160764

The presence and coexistence of human operators and collaborative robots in shop-floor environments raises the need for assigning tasks to either operators or robots, or both. Depending on task characteristics, operator capabilities and the involved robot functionalities, it is of the utmost importance to design strategies allowing for the concurrent and/or sequential allocation of tasks related to object manipulation and assembly. In this paper, we extend the FLEXHRC framework presented in [1] to allow a human operator to interact with multiple, heterogeneous robots at the same time in order to jointly carry out a given task. The extended FLEXHRC framework leverages a concurrent and sequential task representation framework to allocate tasks to either operators or robots as part of a dynamic collaboration process. In particular, we focus on a use case related to the inspection of product defects, which involves a human operator, a dual-arm Baxter manipulator from Rethink robotics and a Kuka youBot mobile manipulator.

关键词：

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Possibilities of Changing the Transport Characteristics of the TEP70 Locomotive

Possibilities of Changing the Transport Characteristics of t...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Viktor Rjabtšikov Anton Rassõlkin Toomas Vaimann Ants Kallaste Dmitry V. Lukichev Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

The research concentrates on the modernization issues of diesel-electric passenger locomotives TEP70. There is number of TEP70 locomotives in Baltic region that are used very rarely by their direct application but may as well be usable as freight locomotives. The main goal of the study is to change the tractive force of a TEP70 locomotive to be able to transport cargo in the Baltic region. Analysis of TEP70 working principles and load characteristics are presented. Based on the analytical model of locomotive, suggestion to replace the gearbox to increase locomotive pulling capability is proposed. Moreover, the paper presents calculation of the traction effort of TEP70. That kind of calculations are very important for motion planning and it should be done in order to avoid overloading during the working mode of the locomotive.

关键词： Force Traction motors Generators Gears Roads Windings Resistance

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