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

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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OWC on-shore wave power plants modeling and simulation

OWC on-shore wave power plants modeling and simulation

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IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies (EmergiTech)

作者： A.J. Garrido I. Garrido J. Lekube M. de la Sen E. Carrascal Automatic Control Group Department of Automatic Control and Systems Engineering University of the Basque Country (UPV/EHU) Bilbao Spain Dept. Aut. Control and Systems Eng. University of the Basque Country (UPV/EHU) Bilbao Spain Department of Electricity and Electronics University of the Basque Country (UPV/EHU) Spain Automatic Control Group - ACG University of the Basque Country (UPV/EHU) Spain

ISBN: (纸本)9781509007073

The Spanish Renewable Energies Plan (SREP) for 2011-2020 and the European Energy Road Map are promoting the use of renewable sources as the best way to avoid the undesired global warming, and in particular, the use of Ocean Energy. Within the different types of on-shore wave-based ocean energy devices, Oscillating Water Column (OWC) converters are one of the widely used ones. An OWC device is basically composed by a capture chamber with a turbo-generator module attached to it. This paper presents the modeling and simulation of OWC on-shore wave power plants. The results are particularised for the case of the Mutriku's power plant and then validated by means of experimental data.

关键词： Turbines Mathematical model Conferences Business Torque Data models

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Impact of wind power generating system integration on frequency stabilization in multi-area power system with fuzzy logic controller in deregulated environment

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Frontiers in Energy 2015年第1期9卷 7-21页

作者： Y. K. BHATESHVAR H. D. MATHUR H. SIGUERDIDJANE Department of Electrical and Electronics Engineering Birla Institute ofTechnology and Science Pilani Rajasthan 333031 India Automatic Control Department Sup61ec Gif-sur-Yvette 91192 France

Among the available options for renewable energy integration in existing power system, wind power is being considered as one of the suited options for future electrical power generation. The major constraint of wind power generating system （WPGS） is that it does not provide inertial support because of power electronic converters between the grid and the WPGS to facilitate frequency stabilization. The proposed control strategy suggests a substantial contribution to system inertia in terms of short-term active power support in a two area restructured power system. The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quick active power support, which balances the drop in frequency and tie-line power during transient conditions. This paper presents a comprehensive study of the wind power impact with increasing wind power penetration on frequency stabilization in restructured power system scenario. Variation of load conditions are also analyzed in simulation studies for the same power system model with the proposed control scheme. Simula- tion results advocates the justification of control scheme over other schemes.

关键词： two area power system automatic generationcontrol wind power generating system （WPGS） deregu-lated environment fuzzy logic controller （FLC）

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Hierarchical nitrite control for greenhouse gas emissions reduction in wastewater treatment plants

Hierarchical nitrite control for greenhouse gas emissions re...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： I. Santin M. Barbu C. Pedret R. Vilanova Departament de Telecomunicació i d'Enginyeria de Sistemes School of Engineering Barcelona Spain Department of Automatic Control and Electrical Engineering “Dunarea de Jos” University of Galati Galati Romania

ISBN: (纸本)9781509027217

Substantial amounts of greenhouse gases (GHG) have been demonstrated to be emitted in wastewater treatment plants (WWTP). One of the GHG with a great influence is nitrous oxide (N 2 O), which is emitted during the nitrification and denitrification processes in a biological wastewater treatment. This paper proposes the implementation of a control strategy in order to reduce N 2 O emissions in the nitrification process. Due to the fact that N 2 O emissions are produced as an intermediate in the nitrification process, the idea of the present work is based on the implementation of a nitrite control by manipulating dissolved oxygen (So) in order to avoid partial nitrification and thus to reduce N 2 O peaks. A hierarchical control strategy is proposed, where the higher level is composed of an affine function and the lower level of a Proportional-Integral (PI) controller. A modified version of Benchmark Simulation Model 2 (BSM2G) that includes GHG emissions is used for the evaluation. The simulation results show that the proposed control strategy achieve the reduction of GHG emissions by reducing N 2 O. However, additional control strategies must also be implemented to take into account the other evaluation criteria of the plant.

关键词： Inductors Benchmark testing Biological system modeling Global warming Wastewater treatment Simulation

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Multi-flow rate control in delayed Wi-Fi offloading systems

Multi-flow rate control in delayed Wi-Fi offloading systems

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International Conference on Information Networking

作者： Yeongjin Kim Joohyun Lee Jaeseong Jeong Song Chong Korea Advanced Institute of Science and Technology Daejeon Daejeon KR Department of Electrical and Computer Engineering Ohio State University USA Automatic Control Department KTH Royal Institute of Technology Sweden School of Electrical Engineering KAIST South Korea

ISBN: (纸本)9781509017256

Explosive growth of mobile data traffic becomes an increasingly serious problem in cellular networks. Delayed Wi-Fi offloading is the concept to shift the delay-tolerant mobile traffic from cellular networks to Wi-Fi networks at the cost of additional delay. Existing studies mainly focused on a single-flow management or a multi-flow case without specified deadlines. In this paper, we address a multi-flow offloading problem in which a mobile user has multiple traffic flows whose loads and deadlines are different. More precisely, we formulate a multi-flow rate control based on a discrete and finite-horizon Markov decision problem. We develop a dynamic programming (DP)-based optimal rate control algorithm to maximize user satisfaction defined as offloading efficiency minus disutility due to deadline violations. Moreover, we propose a threshold-based rate control algorithm which requires low-complexity and low-memory but achieves high performance. Trace driven simulations based on measurements show that our proposed algorithms achieve high user satisfaction compared to existing algorithms.

关键词： IEEE 802.11 Standard Mobile communication Heuristic algorithms Delays Optimal scheduling Servers Mobile computing

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Combined quadric error metric and lifting scheme multivariate model simplification

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2016年第3期78卷 51-62页

作者： Cioacǎ, Teodor Dumitrescu, Bogdan Stupariu, Mihai-Sorin Department of Automatic Control and Systems Engineering Politehnica University of Bucharest Splaiul Independenţei 313 Bucharest060042 Romania Department of Computer Science University of Bucharest Strada Academiei 14 Bucharest Romania

The quadric error metric incremental simplification process involves two stages: cost computation and vertex estimation. In this work, we replace the latter through the use of a lifting scheme, prediction-update stage. Since the initial simplification algorithm implies the. fusion of neighboring vertices and their associated matrices, we propose the inclusion of a similar mechanism in the update, stage of the lifting scheme. For this purpose, we. explore two possible, choices for the redistribution weights of the. quadric error matrices. The quality of the data downsampled in this fashion is assessed by tracking the evolution of the normalized root mean squared error.

关键词： Mean square error

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A data-driven gradient algorithm for high-precision quantum control

arXiv

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arXiv 2017年

作者： Wu, Re-Bing Chu, Bing Owens, David H. Rabitz, Herschel Department of Automation Tsinghua University Beijing100084 China Center for Quantum Information Science and Technology BNRist Beijing100084 China School of Electronic and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Automation Zhengzhou University Zhengzhou450001 China Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Department of Chemistry Princeton University PrincetonNJ08544 United States

In the quest to achieve scalable quantum information processing technologies, gradient-based optimal control algorithms (e.g., GRAPE) are broadly used for implementing high-precision quantum gates, but their performance is often hindered by deterministic or random errors in the system model and the control electronics. In this paper, we show that GRAPE can be taught to be more effective by jointly learning from the design model and the experimental data obtained from process tomography. The resulting data-driven gradient optimization algorithm (d-GRAPE) can in principle correct all deterministic gate errors, with a mild efficiency loss. The d-GRAPE algorithm may become more powerful with broadband controls that involve a large number of control parameters, while other algorithms usually slow down due to the increased size of the search space. These advantages are demonstrated by simulating the implementation of a two-qubit CNOT gate. Copyright © 2017, The Authors. All rights reserved.

关键词： Random errors

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Current-stress reduction of the neutral inductor in a rectifier with two outputs

Current-stress reduction of the neutral inductor in a rectif...

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IEEE Energy Conversion Congress and Exposition

作者： Wenlong Ming Qing-Chang Zhong Dept. of Automatic Control and Systems Engineering The University of Sheffield Sheffield S1 3JD UK Dept. of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL 60616 USA

ISBN: (纸本)9781509007387

In this paper, a recently-reported single-phase rectifier with two outputs (RECTO) is further improved to reduce the current stress of the neutral inductor in the rectifier. The reduction is achieved by moving the neutral inductor away from the path of the grid current. As a result, the inductor only carries the differential current of the dual loads. Since the maximum value of the differential current is much smaller than that of the grid current, the current stress of the neutral inductor can be significantly reduced, and the size of the inductor becomes much smaller, which helps improve the power density of the RECTO. In theory, the current stress can be reduced by at least three times and the inductor size by at least nine times. It is worth noting that the current stress of the switches and the other features of the RECTO, e.g., operation principles, independent DC outputs and unity power factor, are not affected. Comparative experimental results are presented to demonstrate the reduction.

关键词： Inductors Legged locomotion Stress Capacitors Voltage control Reactive power Integrated circuit modeling inductors Biped locomotion integrated circuit modelling Voltage regulation Reactive power Capacitors Rectifiers differential current Stress (mechanics) Stressing

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Application of Robust Model Predictive control to a Renewable Hydrogen-based Microgrid

Application of Robust Model Predictive Control to a Renewabl...

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European control Conference

作者： P. Velarde J. M. Maestre C. Ocampo-Martinez C. Bordons the Systems Engineering and Automatic Control Department Universidad de Sevilla 41092 Seville Spain Automatic Control Department Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial (CSIC-UPC) 08028 Barcelona Spain

ISBN: (纸本)9781509025923

In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, i.e., multi-scenario, tree-based, and chance-constrained model predictive control, which are applied to a nonlinear plant-replacement model that corresponds to a real laboratory-scale plant located in the facilities of the University of Seville. Results show the effectiveness of these three techniques considering the stochastic nature, proper of these systems.

关键词： Application Robust Model Predictive control Renewable Hydrogen-based Microgrid

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Study of the behavior of the incremental conductance algorithm for MPPT

Study of the behavior of the incremental conductance algorit...

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： J. A. Ramos-Hernanz J. M. Lopez-Guede E. Zulueta-Guerrero Nicu Bizon Fernando Oterino-Echavarri Andres Larrea Electrical Engineering Department University of the Basque Country (UPV/EHU) Vitoria Spain Systems Engineering and Automatic Control Department University of the Basque Country (UPV/EHU) Vitoria Spain Faculty of Electronics Communication and Computers University of Pitesti Arges Romania Faculty of Engineering Vitoria-Gasteiz University of the Basque Country Vitoria Spain

This paper analyzes the behavior of the Incremental Conductance (IC) maximum power point tracking algorithm used in photovoltaic modules. Three variants of the algorithm are compared under both simulations and real world tests with a DSP 1104 card control. The results obtained show that the variant whose simulated behavior is the best, actually is the worst in real world experiments, indicating that it is mandatory to test this kind of algorithms in real facilities. In this case, the facilities are placed in the laboratories of the Faculty of engineering of Vitoria-Gasteiz (UPV/EHU, Spain), and the photovoltaic modules are on its roof.

关键词： Integrated circuits Simulation Load modeling Software packages Maximum power point trackers Photovoltaic systems

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