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Event-triggered hybrid control based on multi-agent system for microgrids

IET GENERATION TRANSMISSION & DISTRIBUTION 2014年第12期8卷 1987-1997页

作者： Dou, Chun-xia Liu, Bin Guerrero, Josep M. Yanshan Univ Dept Elect Engn Qinhuangdao 066004 Peoples R China Hunan Univ Technol Dept Informat & Computat Sci Zhuzhou 412008 Peoples R China Aalborg Univ Dept Energy Technol DK-9220 Aalborg Denmark

This study is focused on a multi-agent system-based event-triggered hybrid control for intelligently restructuring the operating mode of an microgrid (MG) to ensure the energy supply with high security, stability and cost effectiveness. Owing to the MG is composed of different types of distributed energy resources, thus it is typical hybrid dynamic network. Considering the complex hybrid behaviours, a hierarchical decentralised coordinated control scheme is firstly constructed based on multi-agent system, then, the hybrid model of the MG is built by using differential hybrid Petri nets. Based on the hybrid models, an event-triggered hybrid control including three kinds of switching controls is constructed by designing multiple enabling functions that can be activated by different triggering conditions, and the interactive coordination among different switching controls is implemented through the intelligent multiple-agent system platform, so that the operating mode of MG can be intelligently restructured in flexible manner according to the changes of operating situation. The validity of proposed control scheme is demonstrated by means of simulation results.

关键词： distributed power generation power generation control multi-agent systems control engineering computing decentralised control Petri nets event-triggered hybrid control multiagent system microgrid energy supply cost effectiveness distributed energy resources typical hybrid dynamic network complex hybrid behaviours hierarchical decentralised coordinated control scheme differential hybrid Petri nets switching control triggering condition interactive coordination intelligent multiple-agent system platform

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Rapid prototyping of power electronics converters for photovoltaic system application using Xilinx System Generator

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IET POWER ELECTRONICS 2014年第9期7卷 2269-2278页

作者： Selvamuthukumaran, Rajasekar Gupta, Rajesh Motilal Nehru Natl Inst Technol Dept Elect Engn Allahabad 211004 Uttar Pradesh India

The aim of this study is to develop a research platform for rapid prototyping of the power electronics converters for solar photovoltaic (PV) system applications. This study describes the field-programmable gate array (FPGA)-based hardware-inthe- loop (HIL) simulation of voltage source inverter (VSI) used for PV system power conversion. The PV system and inverter models are realised in simulation as part of the HIL to test the real-time functionality of the FPGA controller. The generation of switching control signals for the VSI and its interface with the PV system is developed through the Xilinx System Generator (XSG) domain. The XSG automatically generates the VHSIC hardware description language (VHDL) code using hardware description language co-simulation for generation of gating signal for modulation of the VSI. To validate the proposed approach, the sinusoidal pulse-width modulation using bipolar and unipolar switching schemes and current control method have been tested for the PV supported VSI. The proposed approach of the rapid prototype model has been designed and implemented in the laboratory through XSG and MATLAB/SIMULINK interface. Performance comparison between the software simulation and real-time HIL simulation has been demonstrated.

关键词： solar power stations photovoltaic power systems power generation control power engineering computing control engineering computing electric current control field programmable gate arrays hardware description languages PWM invertors software prototyping PWM power convertors rapid power electronic converter prototyping solar photovoltaic system applications Xilinx system generator field-programmable gate array-based hardware-in-the-loop simulation FPGA controller HIL voltage source inverter VSI PV system power conversion switching control signal generation XSG automatic VHDL code generation hardware description language cosimulation gating signal generation sinusoidal pulse-width modulation bipolar switching schemes unipolar switching schemes current control method MATLAB-SIMULINK interface

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Design of wide-area damping systems based on the capabilities of the supporting Information Communication Technology infrastructure

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IET GENERATION TRANSMISSION & DISTRIBUTION 2014年第4期8卷 640-650页

作者： Zhu, Kun Nordstrom, Lars KTH Royal Inst Technol Sch Elect Engn Dept Ind Informat & Control Syst SE-10044 Stockholm Sweden

The dependence of the functionality of the wide-area monitoring and control (WAMC) systems on the capabilities of their underlying Information Communication Technology (ICT) infrastructure indicates that the parameterisation of the WAMC application algorithm should be coordinated with the design of the supporting ICT system. This study presents a systematic approach to design wide-area damping systems considering phasor measurement unit (PMU) communication delays and data frame losses. The proposed design method is applied to calibrate a wide-area damping system based on generalised predictive control (GPC) for demonstration purposes. In addition, a framework to guide the parameterisation of the GPC- based wide-area damping system is also provided. This research offers a better perspective to predict the capabilities of the underlying ICT infrastructure in the WAMC systems. Moreover, the proposed design method can be generalised to design delay-robust damping systems with compensation limits. Finally, it also offers an opportunity to associate the parameterisation of the damping system with the capabilities of its supporting ICT infrastructure and the reliability of the intended damping control function.

关键词： control engineering computing control system synthesis damping delay systems power engineering computing power system control predictive control phasor measurement wide-area damping system design information communication technology infrastructure wide-area monitoring and control system WAMC application algorithm ICT system phase measurement unit PMU communication delays generalised predictive control delay-robust damping systems

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Signal difference-based deadband control for networked control systems with variable sampling intervals

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IET control THEORY AND APPLICATIONS 2014年第15期8卷 1439-1448页

作者： Liu, Ying-Ying Che, Wei-Wei Chu, Yun-Kai Shenyang Univ Sch Informat Engn Shenyang 110044 Peoples R China Shenyang Univ Key Lab Mfg Ind Integrated Automat Shenyang 110044 Peoples R China Chinese Acad Sci Shenyang Inst Automat Shenyang 110016 Liaoning Peoples R China

This study investigates a signal difference-based deadband control approach as a solution to reduce data transmission in networked control systems (NCSs). A new modelling method for the NCSs with time-varying delays, time-varying sampling intervals and signal transmission deadbands is presented. The Lyapunov functional with discontinuity is exploited, which takes full advantages of the NCSs' characteristic information including the bounds of network delay (BND), the bounds of sampling interval (BSI) and the bounds of transmission deadband (BTD). In addition, it has been shown that Lyapunov functional decreases at the jump instants. Furthermore, the new stability analysis and stabilisation conditions for the NCSs are proposed, which describes the relationship of BND, BSI, BTD and the system stability. Three examples are used to demonstrate the effectiveness of the proposed methods. The simulation results have shown that the proposed approach could guarantee the system asymptotically stable and effectively reduce the data transmission in network channel.

关键词： networked control systems sampling methods delays time-varying systems Lyapunov methods asymptotic stability control engineering computing signal difference-based deadband control networked control systems variable sampling intervals data transmission NCS time-varying delays time-varying sampling intervals signal transmission deadbands Lyapunov functional bounds of network delay BND bounds of sampling interval BSI bounds of transmission deadband BTD stability analysis stabilisation conditions asymptotic stability network channel

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H_∞ fault-tolerant control of networked control systems with actuator failures

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IET control THEORY AND APPLICATIONS 2014年第12期8卷 1127-1136页

作者： Wang, Huijiao Zhou, Bo Lim, Cheng-Chew Lu, Renquan Xue, Anke Zhejiang Sci Tech Univ Inst Automat Coll Mech Engn & Automat Hangzhou 310018 Peoples R China Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5005 Australia Hangzhou Dianzi Univ Inst Informat & Control Hangzhou 310018 Peoples R China

The problem of H-infinity fault-tolerant control for networked control systems (NCSs) with actuator failures is addressed in this study. The authors consider the network-induced delays, including sensor-to-controller delay and controller-to-actuator delay, to have both an upper bound and a non-zero lower bound. By using a sampled-data approach, a new model is formulated based on the updating instants of the ZOH. They derive the criteria which ensure that the sample-data NCS is stable with H-infinity norm gamma. The authors design the H-infinity fault-tolerant controller that guarantees the closed-loop NCS stability with H-infinity norm gamma, when all control components are operational, as well as when some actuators fail to operate. Simulation examples are given to show the effectiveness and less conservative needs of the proposed method.

关键词： networked control systems Hâˆž control fault tolerant control actuators stability delay systems sampled data systems closed loop systems control engineering computing Hâˆž fault-tolerant control networked control system actuator failure NCS stability network-induced delay sensor-to-controller delay controller-to-actuator delay sampled-data approach closed-loop stability

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A Computational Model of the Hybrid Bio-Machine MPMS for Ratbots Navigation

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IEEE INTELLIGENT SYSTEMS 2014年第6期29卷 5-13页

作者： Su, Lijuan Zheng, Nenggan Yao, Min Wu, Zhaohui Zhejiang Univ Dept Comp Sci Hangzhou Zhejiang Peoples R China Zhejiang Univ Qiushi Acad Adv Studies Hangzhou Zhejiang Peoples R China

As a typical cyborg intelligent system, ratbots possess not only their own biological brain but machine visual sensation, memory, and computation. Electrodes implanted in the medial forebrain bundle (MFB) connect the rat"s biological brain with the computer, which presents a hybrid bio-machine parallel memory system in the ratbot. For the novel multiple parallel memory system (MPMS) with real-time MFB stimuli, a computational model is proposed to explain the learning and memory processes underlying the enhanced performance of the ratbots in maze navigation tasks. It"s shown that the proposed computational model can predict the finish trial number of the maze learning task, which matches well with behavioral experiments. This work will be helpful to understand the memory and learning mechanisms of cyborg intelligent systems and has the potential significance of optimizing the cognitive performance of these systems as well.

关键词： brain models control engineering computing knowledge based systems learning (artificial intelligence) mobile robots parallel memories robot vision biological brain computational model cyborg intelligent system electrodes hybrid bio-machine MPMS hybrid bio-machine parallel memory system learning mechanism learning process machine visual sensation maze learning task maze navigation task medial forebrain bundle memory mechanism memory process multiple parallel memory system ratbots navigation real-time MFB stimuli Artificial intelligence Biological system modeling Computational modeling Hippocampus Human-robot interaction Humanoid robots Man machine systems Real-time systems bio-machine MPMS computational model cyborg intelligence intelligent systems ratbot navigation

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Scalable Implicit Flow Solver for Realistic Wing Simulations with Flow control

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computing IN SCIENCE & engineering 2014年第6期16卷 13-21页

作者： Rasquin, Michel Smith, Cameron Chitale, Kedar Seol, E. Seegyoung Matthews, Benjamin A. Martin, Jeffrey L. Sahni, Onkar Loy, Raymond M. Shephard, Mark S. Jansen, Kenneth E. Argonne Natl Lab Argonne Leadership Comp Facil Argonne IL 60439 USA Rensselaer Polytech Inst Ctr Computat Innovat Troy NY 12181 USA Rensselaer Polytech Inst Sci Computat Res Ctr Troy NY 12181 USA Rensselaer Polytech Inst Troy NY 12181 USA Univ Colorado Boulder Boulder CO USA Rensselaer Polytech Inst Dept Mech Aerosp & Nucl Engn Troy NY 12181 USA Univ Colorado Boulder Aerosp Engn Dept Boulder CO USA

An active flow control application on a realistic wing design could be leveraged by a scalable, fully implicit, unstructured, finite-element flow solver and high-performance computing resources. This article describes the active flow control application;summarizes the main features in the implementation of a massively parallel turbulent flow solver, PHASTA;and demonstrates the method's strong scalability at extreme scale.

关键词： aerospace components control engineering computing flow control flow simulation parallel processing physics computing turbulence Argonne leadership computing facility Blue Gene/Q Mira machine MPI processes PHASTA massively parallel turbulent flow solver active flow control high-performance computing resources massively parallel computation realistic wing simulations scalable fully implicit unstructured flow solver scalable implicit flow solver Computer performance Differential equations Finite element analysis High performance computing Mathematical model Numerical analysis Parallel processing Scalability Scientific computing Simulation HPC finite element methods high-performance computing leadership computing numerical analysis parallel algorithms partial differential equations scientific computing

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Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc-dc converter

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IET RENEWABLE POWER GENERATION 2014年第2期8卷 183-194页

作者： Zainuri, Muhammad Ammirrul Atiqi Mohd Radzi, Mohd Amran Mohd Che Soh, Azura Rahim, Nasrudin Abd Univ Putra Malaysia Fac Engn Dept Elect & Elect Engn Serdang 43400 Selangor Malaysia Univ Malaya Power Energy Dedicated Adv Ctr UMPEDAC Kuala Lumpur Malaysia

This study presents an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. P&O is known as a very simple MPPT algorithm and used widely. Fuzzy logic is also simple to be developed and provides fast response. The proposed technique combines both of their advantages. It should improve MPPT performance especially with existing of noise. For evaluation and comparison analysis, conventional P&O and fuzzy logic control algorithms have been developed too. All the algorithms were simulated in MATLAB-Simulink, respectively, together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter. For hardware implementation, the proposed adaptive P&O-fuzzy control MPPT was programmed in TMS320F28335 digital signal processing board. The other two conventional MPPT methods were also programmed for comparison purpose. Performance assessment covers overshoot, time response, maximum power ratio, oscillation and stability as described further in this study. From the results and analysis, the adaptive P&O-fuzzy control MPPT shows the best performance with fast time response, less overshoot and more stable operation. It has high maximum power ratio as compared to the other two conventional MPPT algorithms especially with existing of noise in the system at low irradiance.

关键词： adaptive control control engineering computing DC-DC power convertors digital signal processing chips fuzzy control perturbation techniques photovoltaic power systems power engineering computing power generation control power system stability maximum power point trackers stability oscillation maximum power ratio time response overshoot performance assessment TMS320F28335 digital signal processing board Kyocera KD210GH-2PU PV module MATLAB-Simulink MPPT performance improvement fuzzy logic control algorithm P& O control algorithm MPPT algorithm photovoltaic boost DC-DC converter adaptive perturb-and-observe-fuzzy control maximum power point tracking

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Object-oriented creation of input signals for system identification

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IET control THEORY AND APPLICATIONS 2014年第10期8卷 821-829页

作者： Barker, H. Anthony Tan, Ai Hui Godfrey, Keith R. Swansea Univ Coll Engn Swansea SA2 8PP W Glam Wales Multimedia Univ Fac Engn Cyberjaya 63100 Malaysia Univ Warwick Sch Engn Coventry CV4 7AL W Midlands England

This study describes how a very large number of deterministic input signals for system identification may be created by object-oriented methods. The concepts of aggregation and inheritance, combined with the properties of m-sequences, are utilised to develop two new methods for the creation of pseudorandom perturbation signals with ideal spectral properties, two, three, five or seven levels and a very wide range of periods. The available signal levels ensure that the signals are suitable for both linear and non-linear system identification and the availability of a large number of signal periods ensures that the signals are suitable for both single and multi-input system identification. The methods are described in detail and illustrated by examples, together with their implementation in the open environment of an efficient, user-friendly and freely available MATLAB program which provides third-party software to complement existing MATLAB Identification Toolboxes.

关键词： object-oriented methods signal processing identification m-sequences linear systems nonlinear systems control engineering computing object-oriented creation input signals object-oriented method m-sequences pseudorandom perturbation signal spectral property signal level nonlinear system identification signal periods single system identification multiinput system identification Matlab program third-party software Matlab identification toolbox

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Design and implementation of adaptive inverse control algorithm for a micro-hand control system

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JOURNAL OF engineering-JOE 2014年第1期2014卷 34-44页

作者： Wang, Wan-Cheng Liu, Tian-Hua Syaifudin, Yuddy Wang, Tsan-Kai Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan

The Letter proposes an online tuned adaptive inverse position control algorithm for a micro-hand. First, the configuration of the micro-hand is discussed. Next, a kinematic analysis of the micro-hand is investigated and then the relationship between the rotor position of micro-permanent magnet synchronous motor and the tip of the micro-finger is derived. After that, an online tuned adaptive inverse control algorithm, which includes an adaptive inverse model and an adaptive inverse control, is designed. The online tuned adaptive inverse control algorithm has better performance than the proportional-integral control algorithm does. In addition, to avoid damaging the object during the grasping process, an online force control algorithm is proposed here as well. An embedded micro-computer, cRIO-9024, is used to realise the whole position control algorithm and the force control algorithm by using software. As a result, the hardware circuit is very simple. Experimental results show that the proposed system can provide fast transient responses, good load disturbance responses, good tracking responses and satisfactory grasping responses.

关键词： adaptive control control engineering computing control system synthesis embedded systems force control grippers inverse problems manipulator kinematics microcomputers micromanipulators permanent magnet motors position control synchronous motors transient response grasping response tracking response load disturbance response transient responses hardware circuit cRIO-9024 embedded microcomputer online force control algorithm grasping process proportionalâ€“integral control algorithm adaptive inverse model microfinger tip micropermanent magnet synchronous motor rotor position kinematic analysis microhand configuration online tuned adaptive inverse position control algorithm microhand control system adaptive inverse control algorithm design

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