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On the design and simulation-based validation of an active compliance law for multi-arm robots

robotics and Autonomous systems 1989年第4期5卷 307-321页

作者： Bruhm, H. Deisenroth, J. Schädler, P. Technical University of Darmstadt Department of Control Engineering Control Systems Theory and Robotics Section Schloßgraben 1 Darmstadt6100 Germany

A special active compliance law is presented as the feedback element in a non-master/slave (i.e. symmetric) coordination strategy with explicit force distribution for robots with multiple cooperating arms. The method used to design the compliance controller comprise a structural design phase and dynamics design phase. The proposed controller structure simplifies the design problem as it maps the multivariate system onto two decoupled SISO loops with PI controllers describing internal and external compliance behavior. The conditions for the validity of this conceptual system model are discussed and the significance of task parameters such as grasp configuration, force distribution law and mechanical compliance values for the controller structure is explored. The dynamic behavior of internal and external compliance is determined in the second design phase by the choice of gain and integral action time of the respective controllers. An example shows the applicability of classical SISO control system design tools such as the root locus technique. The validity of the design method has been verified by means of the multi-arm robot simulation program MAROSIM, which is also presented in the paper. © 1989

关键词： controllers

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A multi-class ramp metering and routing control scheme to reduce congestion and traffic emissions in freeway networks

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IFAC-PapersOnLine 2016年第3期49卷 329-334页

作者： Pasquale, C. Sacone, S. Siri, S. De Schutter, B. Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Delft Center for Systems and Control Delft University of Technology Netherlands

In this paper, a multi-class and multi-objective combined ramp metering and routing control strategy is proposed to improve performance in freeway traffic networks. The control strategy is of the multi-class type, i.e. different classes of vehicles are taken into account, so that specific control policies can be devised for each class. Moreover, ramp metering and route guidance are properly coordinated in order to reduce the total travel time and the total emissions in the freeway system in a balanced way. The controller proposed in the paper is of the predictive feedback type, i.e. the control computed at each time step depends on the measured system state and on the prediction of the system evolution, considering both a traffic and an emission model. Some simulation results are presented showing the effectiveness of the proposed control scheme. © 2016

关键词： Traffic congestion Highway traffic control Network routing Travel time control strategies Different class Freeway networks Improve performance Measured system System evolution Total emissions Traffic emissions

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TOPOLOGICAL TASK SPACE MODELING FOR PLANNING AUTONOMOUS SPACE ROBOT ACTIONS

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control ENGINEERING PRACTICE 1995年第8期3卷 1095-1104页

作者： MATTHIESEN, J Control Systems Theory and Robotics Department Darmstadt Technical University Landgraf-Georg-Str. 4 D 64283 Darmstadt Germany

Future space robot generations will replace astronauts in deep space missions and routine operations. They will use tools, and perform assembly, disassembly and handling tasks for maintenance purposes. A key feature of autonomous, task-level commandable robots is a valid and complete representation of an application's task space for planning and optimizing a rough action sequence facing a sensorially classified situation. This paper shows such a representation for a robot-based automated material science experiment set-up. It proposes a method of analysis by which a valid and complete task space model can be obtained. Results of practical experiments with a terrestrial laboratory mock-up using the novel representation scheme are presented.

关键词： SPACE robotics AUTONOMOUS control MODEL-BASED TASK PLANNING

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Riemannian Online Optimistic Algorithms with Dynamic Regret

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IEEE Transactions on Automatic control 2025年

作者： Wang, Xi Yuan, Deming Hong, Yiguang Hu, Zihao Wang, Lei Shi, Guodong University of New South Wales School of Electrical Engineering & Telecommunications SydneyNSW2052 Australia Nanjing University of Science and Technology School of Automation Nanjing210094 China Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China Hong Kong University of Science and Technology Department of Mathematics Hong Kong Zhejiang University College of Control Science and Engineering Zhejiang 310058 China The University of Sydney Australian Center for Robotics School of Aerospace Mechanical and Mechatronic Engineering NSW2006 Australia

In this paper, we consider Riemannian online convex optimization with dynamic regret, which involves minimizing the cumulative loss difference between a learner's decisions and a sequence of adaptive decisions across dynamic environments over time on Riemannian manifolds. First, we propose Riemannian Online Optimistic Gradient Descent (R-OOGD), which extends the classical optimistic algorithms to Riemannian manifolds, requiring one gradient inquiry per round. We then propose Riemannian Adaptive Online Optimistic Gradient Descent (R-AOOGD) by incorporating the meta-expert framework into R-OOGD. We analyze the dynamic regret of R-OOGD and R-AOOGD in terms of the regularity of the sequence of cost functions and comparators. The dynamic regret bound matches the results in Euclidean space and with a scale adjustment of O(1+κ D2/√1-KD2) related to the sectional curvature lower bound κ, sectional curvature upper bound and feasible set diameter. Finally, we provide numerical experiments to illustrate the performance of the proposed algorithms. © 1963-2012 IEEE.

关键词： Optimization algorithms

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Adaptive observer for a LTV system with partially unknown state matrix and delayed measurements 14

Adaptive observer for a LTV system with partially unknown st...

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14th International Congress on Ultra Modern Telecommunications and control systems and Workshops, ICUMT 2022

作者： Bobtsov, Alexey Nikolaev, Nikolay Slita, Olga Kozachek, Olga Oskina, Olga Itmo University Institute of Problems of Mechanical Engineering Laboratory 'Control of Complex Systems' Department of Control Systems and Robotics Saint-Petersburg Russia Itmo University Department of Control Systems and Robotics Saint-Petersburg Russia

ISBN: (数字)9798350398663

ISBN: (纸本)9798350398663

Problem of adaptive state observer synthesis for linear time-varying (LTV) system with unknown time-varying parameter and delayed output measurements is considered. State observation problem has attracted the attention of many researchers [1]. In this paper the results proposed in the [2]-[4] are developed. It is supposed that the state matrix can be represented as sum of known and unknown parts. Output vector is measured with known constant delay. An adaptive identification algorithm which reconstructs unknown state and unknown time-varying parameter is proposed. © 2022 IEEE.

关键词： Time varying control systems

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AN IMPLEMENTATION OF FAST GLOBALLY-STABLE ADAPTIVE ROBOT control ON A MULTIPROCESSOR NETWORK

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control ENGINEERING PRACTICE 1995年第11期3卷 1553-1562页

作者： ZIAUDDIN, SM ZALZALA, AMS Department of Automatic Control and Systems Engineering Robotics Research Group University of Sheffield Mappin Street Sheffield Sl 4DU UK

This paper is concerned with efficient and fast computations of adaptive control algorithms for robot manipulators. Adaptive controllers employing the highly coupled and non-linear dynamics of manipulators are computationally complex, which presents a major obstacle in their real-time implementation for industrial applications. A solution to this problem is suggested by utilising a parallel-processing approach. The controller algorithm is implemented for a robot manipulator with six degrees of freedom, utilising a transputer network, for which programming is performed in C. The execution times achieved by the distributed algorithm are well within the limit acceptable for real-time control.

关键词： ADAPTIVE control ROBOTIC MANIPULATORS GLOBAL STABILITY PARALLEL PROCESSING MULTIPROCESSORS

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Finite-Time Sensors Diagnosis Based on Unknown Input Observers

Finite-Time Sensors Diagnosis Based on Unknown Input Observe...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Margun, Alexey Bui, Van Huan Bobtsov, Alexey Itmo University Control Systems and Robotics Department Saint Petersburg Russia

The paper focuses on developing a finite-time approach for sensors fault detection and isolation in MIMO systems. The proposed solution utilizes the synthesis of a bank of unknown input observers, tailored specifically for each of sensor. A significant advantage of this solution over existing methods is its applicability to plants with any arbitrary relative degree. The paper introduces a modification that ensures finite-time convergence using Kreisselmeier's scheme combined with the dynamic regressor extension and mixing method. This modification guarantees that the convergence of observer estimates - and thus the diagnostic results - occurs within a user-specified timeframe. Additionally, the implementation of filters and threshold settings is discussed to prevent false alarms caused by measurement noise. The effectiveness of the developed approach is validated through computer simulations, confirming its robust performance. © 2024 IEEE.

关键词： MIMO systems

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Adaptive Direct Compensation of External Disturbances for Mimo Linear systems

Adaptive Direct Compensation of External Disturbances for Mi...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Van Huan, Bui Margun, Alexey A. Kremlev, Artem S. Itmo University Department of Control Systems and Robotics St. Petersburg Russia Itmo University Ipme Ras Department of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9798350345551

The paper proposes a new algorithm for compensating external disturbances for a class of multi-input multi-output (MIMO) linear systems. The solution of the problem is based on the use of the internal model principle and the extended error adaptation algorithm. It is assumed that the disturbance is the output of an autonomous linear generator with unknown parameters. At the first stage, a full-order unknown input observer (UIO) is synthesized to solve the problem of estimating the state vector of the plant. Then a new observer of external disturbance is formed on the basis of state vector estimates. At the last stage, based on the new observer's estimates, a system with an extended state vector is formed for that a controller providing compensation of disturbance is constructed. The performance of the obtained results is confirmed using computer simulation in MATLAB Simulink. © 2023 IEEE.

关键词： Linear systems

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Modern Approaches for Equipment's Technical State Prediction 7

Modern Approaches for Equipment's Technical State Prediction

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7th International Conference on Information, control, and Communication Technologies, ICCT 2023

作者： Bratchikov, Stepan Itmo University Department of Control Systems and Robotics Saint-Petersburg Russia

ISBN: (纸本)9798350340945

Any manufacturing process aims to become more efficient. There is a plenty ways to achieve this. One of those is industrial equipment technical state prediction. Some of the methods are considered. Also, inclusion of modern machine learning and digital twins techniques is reviewed. As a result, the method of describing a production process as set of separate operations characterized by the parameters of the equipment involved in order to predict the output quality of produced items is introduced. © 2023 IEEE.

关键词： Forecasting

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Generalized Norm Optimal Iterative Learning control with Intermediate Point and Sub-interval Tracking

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International Journal of Automation and computing 2015年第3期12卷 243-253页

作者： David H.Owens Chris T.Freeman Bing Chu Department of Automatic Control and Systems Engineering University of Sheffield School of Electronics and Computer Science University of Southampton Advanced Robotics Division Italian Institute of Technology

Norm optimal iterative learning control(NOILC) has recently been applied to iterative learning control(ILC) problems in which tracking is only required at a subset of isolated time points along the trial duration. This problem addresses the practical needs of many applications, including industrial automation, crane control, satellite positioning and motion control within a medical stroke rehabilitation context. This paper provides a substantial generalization of this framework by providing a solution to the problem of convergence at intermediate points with simultaneous tracking of subsets of outputs to reference trajectories on subintervals. This formulation enables the NOILC paradigm to tackle tasks which mix "point to point" movements with linear tracking requirements and hence substantially broadens the application domain to include automation tasks which include welding or cutting movements, or human motion control where the movement is restricted by the task to straight line and/or planar segments. A solution to the problem is presented in the framework of NOILC and inherits NOILC s well-defined convergence properties. Design guidelines and supporting experimental results are included.

关键词： Iterative learning control learning control optimization linear systems robotics.

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