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IEEE International Conference on Mechatronics

作者： Ibrahim, B.S.K.K. Tokhi, M.O. Huq, M.S. Gharooni, S.C. Dept of Mechatronics and Robotics Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Batu Pahat Johor Malaysia Department of Automatic Control and System Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9781612844350

The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord injury. FES induced movement control is a significantly challenging area, mainly emanating from various characteristics of the underlying physiological/biomechanical system. An approach of fuzzy trajectory tracking control of swinging motion optimized with genetic algorithm is presented. The results show the effectiveness of the approach in controlling FES-induced swinging motion. In this approach only the quadriceps muscle is stimulated to perform the swinging motion by controlling the amount of stimulation pulsewidth © 2011 IEEE.

关键词： Fuzzy logic

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Predicting wastewater sludge recycle performance based on fuzzy neural network

Predicting wastewater sludge recycle performance based on fu...

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International Conference on Networking, Sensing and control

作者： Luolong Luofei Zhouliyou Yehongtao Xuyuge College of Automation Science and Engineering South China University of Technology Guangzhou China Guangzhou Institute of Railway Technology Guangzhou China Department of Electronic Information and Control Engineering Guangxi University of Technology Liuzhou China

ISBN: (纸本)9781424495702

Sludge recycling system is an important part of wastewater treatment plants. Because of the lack of control model and ensure water quality, the sludge recycle flow rate is controlled by high percentage of the influent to the wastewater treatment plants generally, which result in high energy consumption and decreasing of handling capacity. At present, the artificial intelligence modeling technique is considerable used in non-linear and time-varying system such as wastewater treatment plants. In this paper, to depict activated sludge recycle processes, a fuzzy neural model is constructed, relating to predict the sludge recycle flow rate (QR). Simulation studies show that activated sludge recycle model which based on this network have more strong adaptive ability, network structure is simple, learning velocity rapid, prediction effluent the sludge recycle flow rate effectively according to input, which proved high effectiveness of this method. © 2011 IEEE.

关键词： Water quality

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The Adequacy Model and Analysis of Swapping Battery Requirement for Electric Vehicles

The Adequacy Model and Analysis of Swapping Battery Requirem...

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IEEE Power and Energy Society General Meeting

作者： Chang-Hua Zhang Jin-Song Meng Yong-Xing Cao Xin Cao Qi Huang Qing-Chang Zhong School of Energy Science and Technology of University of Electronic Science and Technology of China (UESTC) and Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control of UESTC Chengdu Sichuan 611731 China. Since Oct. 2011 Changhu Sichuan Electric Power Research Institute No. 23 Qinghua Rd. Chengdu 610072 Sichuan China Department of Aeronautical and Automotive Engineering Loughborough University Leicestershire LE11 3TU UK

ISBN: (纸本)9781467327275

Compared with fossil fuel vehicles, plug-in hybrid electric vehicles (PHEVs) and electric vehicles (EVs) maintain obvious and profound significance for the less city pollutant and operation noise. Moreover, EVs can benefit operation of the power systems via friendly feeding back the energy stored in the EV batteries into the grids when needed. The related research about charging of batteries for EVs has been extensively developed, which is one of the main issues for the application of EVs. This paper focuses on the cooperation between the battery demand and the supply curve problems, when the charging of EV is operated in the swapping way. Firstly, the concept of the swapping battery requirement (SBR) adequacy is presented, and then the corresponding mathematical model is established and the algorithm based on the Monte Carlo method is proposed. In addition, some critical factors which have great influence on the SBR and reserved fully charged battery (RFCB) curves are demonstrated, such as EVs driving cycle, battery capacity, average energy-consuming level and charging time. Simulation results are presented to verify the proposed method.

关键词： Index Terms-- Adequacy Charging management Demand and supply Electrical Vehicle Monte Carlo method Plug-in Hybrid Electrical Vehicle Swapping battery requirement Vehicle-to-grid (V2G). Electric vehicles Batteries Swap charging Monte Carlo technique power systems SBR Mathematical Model ADEQUACY grids Analysis

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Fuzzy logic based cycle-to-cycle control of FES-induced swinging motion

Fuzzy logic based cycle-to-cycle control of FES-induced swin...

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International Conference on Electrical, control and Computer engineering

作者： Ibrahim, B.S.K.K. Tokhi, M.O. Huq, M.S. Gharooni, S.C. Dept. of Mechatronics and Robotics Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Batu Pahat Johor Malaysia Department of Automatic Control and System Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9781612842288

FES induced movement control is a significantly challenging area due to complexity and non-linearity of musculo-skeletal system. The goal of this study is to design a cycle-to-cycle control of FES-induced swinging motion. In this approach only the quadriceps muscle is stimulated by controlling the amount of stimulation pulsewidth. This time dependent behaviour is successfully compensated for using a cycle-to cycle fuzzy controller, which computes the amount of knee extension stimulation on the basis of the achieved flexion angle in previous cycles. The capability of fuzzy control in automatic generation of stimulation burst duration is assessed in computer simulations using a musculo-skeletal model. This paper presents the development of a fuzzy logic control scheme based on discrete-time cycle to cycle control strategies without predefined trajectory. The results show the effectiveness of the approach in controlling FES-induced swinging motion. © 2011 IEEE.

关键词： Genetic algorithms

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Collective Intelligence and Uncertain Knowledge Representation in Cloud Computing

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China Communications 2011年第6期8卷 58-66页

作者：刘玉超张海粟马于涛李德毅陈桂生 Department of Computer Science and Technology Tsinghua University lnstitute of Electronic System Engineering College of Command Automation PLA University of Science and Technology State Key Lab of Software Engineering Wuhan University

The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.

关键词： collective intelligence social annotation common sense uncertain knowledge representation

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Analysis of energy saving and emission reduction in coal industry

Analysis of energy saving and emission reduction in coal ind...

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2011 2nd International Conference on Mechanic automation and control engineering, MACE 2011

作者： Cheng, Huanxin Luo, Xiaoling College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao 266061 China Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China College of Electromechanical Engineering Qingdao University of Science and Technology Qingdao 266061 China

ISBN: (纸本)9781424494392

Coal is very important energy. To study energy conservation and emission reduction of coal industry in national economy development has practical value. The paper analyzes coal industry domestic situation and current energy consumption and industry waste discharge conditions, discusses and analyzes specific measures of energy saving and emission reduction such as improvement of recovery ratio, comprehensive utilization of coal waste and improvement of coal mining machinery. Study of coal industry, energy conservation and emission reduction has some reference value. © 2011 IEEE.

关键词： Energy utilization

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A novel method based on order statistics for extracting fingerprint of narrow band emitter

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Dianzi Yu Xinxi Xuebao/Journal of electronics and Information Technology 2011年第5期33卷 1224-1228页

作者： Tang, Zhi-Ling Yang, Xiao-Niu Li, Jian-Dong School of Communication Engineering Xidian University Xi'an 710071 China School of Electronic Engineering and Automation Guilin University of Electronic Technology Guilin 541004 China National Key Lab of Information Control Technology for Communications System Jiaxing 314001 China

The static nonlinear feature of narrow band Radio Frequency Power Amplifier (RF PA) is made as the fingerprint of wireless communication emitter. RF PA with unknown input can be looked as a static nonlinear Hammerstein model. The process of feature extraction from this model is split into two steps. The first step is signal samples whitening and the second is the estimation of Taylor series' coefficients. The order statistics of the whitening signal samples is monotone. Then the features are estimated through linear regression using least square method. Comparing feature vectors of 4 RF power amplifiers results in that the proposed algorithm is effectively to identification different type of RF power amplifiers.

关键词： Power amplifiers

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A wind farm controller for load and power optimization in a farm

A wind farm controller for load and power optimization in a ...

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IEEE International Symposium on Computer Aided control system Design (CACSD)

作者： Maryam Soleimanzadeh Arno J. Brand Rafael Wisniewski Automation and Control Section Electronic System Department Aalborg University Denmark Energy Research Center of Netherlands Netherlands

This paper describes the design procedure of an optimal wind farm controller. The controller optimizes the structural load and power production simultaneously, on the basis of an analytical wind farm model. The farm model delivers maps of wind, loads and energy in the wind farm. Moreover, the model computes the wind speed at the turbines, turbine bending moments and aerodynamic power and torque. The optimal control problem is formulated based on the model for two different wind directions. The controller determines the reference signals for each individual wind turbine controller in two scenarios based on low and high wind speed. In low wind speed, the reference signals for rotor speed are adjusted, taking the trade-off between power maximization and load minimization into account. In high wind speed, the power and pitch angle reference signals are determined while structural loads are minimized.

关键词： Wind turbines Wind speed Wind farms Rotors Poles and towers Blades Aerodynamics

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Feasibility study for implementing model based predictive control in a Programmable electronic Device

Feasibility study for implementing model based predictive co...

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9th IEEE International Conference on control and automation, ICCA 2011

作者： Celi, Miguel R. De Prada, Cesar Villegas, Thamara Sarabia, Daniel Aguilera, Asdrubal Industrial Technology Department Simón Bolívar University Caracas Venezuela System Engineering and Automatic Control Department University of Valladolid Valladolid Spain Electrical and Electronic Circuit Department Simón Bolívar University Caracas Venezuela

ISBN: (纸本)9781457714757

In this paper, the authors studied the implementation issues of an explicit model predictive controller on a programmable electronic device. For the implementation of this controller is considered the programmable controller architecture, hardware and software level, so the performance is optimized ensuring the feasibility of functioning. The main outcome is a series of recommendations to help implement the explicit MPC, which are applied to design the MPC of a DC-DC converter. © 2011 IEEE.

关键词： DC-DC converters

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Robust partially mode delay-dependent H∞ output feedback control of discrete-time networked control systems

Robust partially mode delay-dependent H∞ output feedback co...

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作者： Chae, Seunghwan Huang, Dan Nguang, Sing Kiong Department of Electrical and Computer Engineering University of Auckland Private Bag 92019 Auckland New Zealand Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9781457700804

This paper examines robust partially mode delay dependent H ∞ output feedback controller design for discrete-time systems with random communication delays. A finite state Markov chain with partially known transition probabilities is used to model random communication delays between sensors and controller. Based on Lyapunov-Krasovskii functional, a novel methodology for designing a partially mode delay-dependent output feedback controller is proposed. Using cone complementarity linearization algorithm bilinear matrix inequalities (BMIs) are solved to obtain the controller gains. We also show that the results for completely known transition probabilities and completely unknown transition probabilities can be derived as special cases of our result. The effectiveness of the proposed design methodology is demonstrated by a numerical example. To the best of authors' knowledge, the problem of designing an output feedback controller for a partially known transition probability has not been fully investigated. © 2011 AACC American Automatic control Council.

关键词： Networked control systems

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