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Adaptive Fault–Tolerant control Design Approach for a Wind Turbine Benchmark

IFAC Proceedings Volumes 2012年第20期45卷 319-324页

作者： Silvio Simani Paolo Castaldi The Department of Electrical and Computer Engineering The University of Auckland 92019 Auckland New Zealand School of Aeronautics and Astronautics Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

This paper addresses the development of an active fault tolerant control scheme that is applied to a wind turbine simulated benchmark. The proposed methodology is based on a comprehensive scheme relying on adaptive controllers designed by means of the on–line identification of the system model under diagnosis. In this way, the controller reconfiguration mechanism exploits an adaptive regulator implementation, depending on the on–line estimate of system model. One of the advantages of this strategy is that, for example, the original structure of logic–based switching digital controller scheme already implemented for the wind turbine benchmark can be almost preserved. The active fault tolerant control scheme is therefore applied to a wind turbine simulated benchmark, in the presence of disturbance and measurement errors, along nominal operating conditions, including also different realistic fault situations. The achieved results in both fault–free and faulty conditions serve to show the enhancement of the control performances, and the fault accommodation features.

关键词： Fault tolerant systems adaptive control digital control system design nonlinear systems wind turbine benchmark

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A NOVEL H-INFINITY FILTERING FOR ROAD CONSTRAINED TARGET TRACKING

A NOVEL H-INFINITY FILTERING FOR ROAD CONSTRAINED TARGET TRA...

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence systems

作者： Weiwei Duan Yingmin Jia The Seventh Research Division and the Department of System and Control Beihang University (BUAA) Key Laboratory of Mathematics Information and Behavioral Semantics (LMIB)Ministry of EducationSMSSBeihang University (BUAA)

This paper is concerned with the H∞ filtering for road constrained target tracking problem. The additional information of road can improve the estimation accuracy when it is properly incorporated into the estimation process. In this paper, two constrained H∞ filtering methods considering the road constraints as prior information are proposed. The new approaches achieve not only higher accuracy, but also robustness against model uncertainty. Two simulation examples are present to illustrate the performance of the proposed approaches.

关键词： H∞ filtering, Road constraint, Target tracking

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An overview of agent-based evacuation models for building fires

An overview of agent-based evacuation models for building fi...

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IEEE International Conference on Networking, Sensing and control

作者： Yuling Hu Xiwei Liu Feiyue Wang Changjian Cheng Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology. and School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.

关键词： Computational modeling Fires Biological system modeling Buildings Decision making Humans Adaptation models

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Distributed multi-agent Q-learning for joint channel allocation and power control in cognitive radio networks

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Journal of Computational information systems 2012年第17期8卷 7071-7078页

作者： Boumediene, Latifa Gao, Zhenguo Liu, Sheng College of Automation Harbin Engineering University Harbin 150001 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

This paper deals with the resource allocation in completely distributed cognitive radio network. We propose a form of real-time multi-agent distributed reinforcement learning, which is known as Q-learning, to allow the cognitive radio to predict its transmit power and channel, in order for achieving a high quality of service without affecting the primary users. Simulation results reveal that the proposed approach is able to significantly reduce the interference to the licensed users while maintaining a high probability of successful transmission in a cognitive radio ad-hoc network. © 2012 Binary information Press.

关键词： Cognitive radio

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A Survey on Problems in Smart Grid with Large Capacity Wind Farm Interconnected

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Energy Procedia 2012年 17卷 776-782页

作者： Yang Peihong Liu Wenying Wei Yili School of Information Engineering Inner Mongolia University of Science and Technology Baotou China Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Under Ministry of Education North China Electric Power University Beijing China

The basic concepts and development of smart grid is described. The influence of large capacity wind farm interconnected on the smart grid is analyzed particularly, following contents are emphatically presented: model of wind farm, basic operation performance, output forecasting of wind farm, power flow in smart grid including wind farm, balance of voltage and raeactive power, small disturbance stability, transient stability, faults and reliability, etc., in the hope of offering references for the fast development of smart grids absorbing more capacity of wind power.

关键词： smart grid power system wind farm stability

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Design of multiple anti-windup loops for multiple activations

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Science China(information Sciences) 2012年第9期55卷 1925-1934页

作者： WU XiongJun 1,2 & LIN Zongli 3,1 1 Department of Automation,Shanghai Jiao Tong University,and key laboratory of system control and information processing,Ministry of Education of China,Shanghai 200240,China 2 No.802 Institute of Shanghai Academy of Space Flight Technology,the Eighth Academy of China Aerospace Science and Technology Corporation,Shanghai 200090,China 3 Charles L.Brown Department of Electrical and Computer Engineering,University of Virginia,P.O.Box 400743,Charlottesville,VA 22904-4743,USA 1. Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China2. No. 802 Institute of Shanghai Academy of Space Flight Technology the Eighth Academy of China Aerospace Science and Technology Corporation Shanghai 200090 China3. Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

This paper considers anti-windup design for linear systems subject to actuator *** anti-windup gains are designed for activations immediately at the occurrence actuator saturation,after the saturation has reached a certain level and in anticipation of the occurrence of saturation,*** design is based on the minimization of L 2 gain from the disturbance to the controlled output of the resulting closed-loop *** anti-windup scheme involves a single anti-windup loop for immediate activation.A recent innovation is to design a single anti-windup loop for delayed or anticipatory activation,as well as to design two anti-windup gains,one for immediate activation and one for delayed *** design of three anti-windup gains for three different activations is shown through simulation to lead to significant further performance improvement over the previous activation schemes.

关键词： actuator saturation anti-windup anticipatory activation delayed activation L 2 gain nonlinear control

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A Minimum Entropy Approach for Multiple-model Estimation

A Minimum Entropy Approach for Multiple-model Estimation

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International Conference on information Fusion

作者： Han Shen-Tu AnKe Xue DongLiang Peng State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Hang Zhou 310027 P.R. China Institution of Information and Control Hangzhou Dianzi University Hang Zhou 310018 P.R. China

ISBN: (纸本)9781467304177

Multiple-model (MM) methods are effective in handling mode uncertainties and the variable structure multiplemodel (VSMM) approach is one technique of the state of art. However, designing a better model set adaptive (MSA) mechanism is still a challenging problem both in theory and practice. In this paper, we present new theoretical analysis to evaluate the quality of model sequence sets in a nested structure which implies a principle-to find effective model sequence sets with the smallest size if the risk of missing real modes is small enough. A minimum entropy multiple-model (MEMM) approach is proposed to calculate the model sets with minimum Shannon entropy through feed back the online information into the fusion center. Sub-optimal MEMM algorithms are also designed with a particle filter. An example of maneuvering target tracking is considered in simulations. The proposed algorithms are compared to several existing VSMM algorithms and the results show that the MEMM algorithms are robust and effective in both estimation precision and converging rate.

关键词： multiple-model minimum entorpy nested strcture feed back maneuvering

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Recovering geometric detail by octree normal maps

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7145 LNCS卷 62-73页

作者： Fan, Wenshan Wang, Bin Chan, Bin Paul, Jean-Claude Sun, Jiaguang School of Software Tsinghua University China Beijing Aerospace Control Center China Department of Computer Science and Technology Tsinghua University China Key Laboratory for Information System Security Ministry of Education China Tsinghua National Laboratory for Information Science and Technology China University of Hong Kong Hong Kong INRIA France

ISBN: (纸本)9783642290497

This paper presents a new approach for constructing normal maps that capture high-frequency geometric detail from dense models of arbitrary topology and are applied to the simplified version of the same models generated by any simplification method to mimic the same level of detail. A variant of loose octree scheme is used to optimally calculate the mesh normals. A B-spline surface fitting based method is employed to solve the issue of thin plate. A memory saving Breadth-First Search (BFS) order construction is designed. Furthermore, a speedup scheme that exploits access coherence is used to accelerate filtering operation. The proposed method can synthesize good quality images of models with extremely high number of polygons while using much less memory and render at much higher frame rate. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Graphics processing unit

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One-Class SVM assisted accurate tracking

One-Class SVM assisted accurate tracking

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ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

作者： Keren Fu Chen Gong Yu Qiao Jie Yang Irene Guy Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai China Chalmers tekniska hogskola Goteborg SE

Recently, tracking is regarded as a binary classification problem by discriminative tracking methods. However, such binary classification may not fully handle the outliers, which may cause drifting. In this paper, we argue that tracking may be regarded as one-class problem, which avoids gathering limited negative samples for background description. Inspired by the fact the positive feature space generated by One-Class SVM is bounded by a closed sphere, we propose a novel tracking method utilizing One-Class SVMs that adopt HOG and 2bit-BP as features, called One-Class SVM Tracker (OCST). Simultaneously an efficient initialization and online updating scheme is also proposed. Extensive experimental results prove that OCST outperforms some state-of-the-art discriminative tracking methods on providing accurate tracking and alleviating serious drifting.

关键词： Target tracking Support vector machines Training Feature extraction Face Boosting Semisupervised learning

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Implementation of Dynamic Matrix control on Field Programmable Gate Array

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Journal of Shanghai Jiaotong university(Science) 2011年第4期16卷 441-446页

作者：兰建李德伟杨楠席裕庚 Department of Automation Shanghai Jiaotong University Key Laboratory of System Control and Information ProcessingMinistry of Education

High performance computer is often required by model predictive control(MPC) systems due to the heavy online computation *** extend MPC to more application cases with low-cost computation facilities, the implementation of MPC controller on field programmable gate array(FPGA) system is *** the dynamic matrix control(DMC) algorithm,the main design idea and the implemental strategy of DMC controller are introduced based on a FPGA’s embedded *** performance tests show that both the computation efficiency and the accuracy of the proposed controller can be satisfied due to the parallel computing capability of FPGA.

关键词： model predictive control(MPC) dynamic matrix control(DMC) quadratic programming(QP) active set programmable logic device field programmable gate array(FPGA)

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