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Implementation of Dynamic Matrix control on Field Programmable Gate Array

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

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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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Looper-Tension H_∞ control for Hot Strip Finishing Mills

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Journal of Shanghai Jiaotong university(Science) 2011年第5期16卷 519-523页

作者：王景成仲兆准 Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiaotong University

The development of an innovative H∞ controller for looper and tension control in hot strip finishing mills is traced based on approximately linearized model. This solution has been considered thanks to its well- known robustness and simplicity characteristics concerning disturbances' attenuation. The controller is designed based on an optimal problem with linear matrix inequality (LMI) constraints, and the problem is solved by the mincx function of Matlab LMI Toolbox. Simulation results show the effectiveness of the proposed controller compared with conventional ones.

关键词： H∞ control linear matrix inequality (LMI) looper and tension control hot strip finishing mill

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On Global Consensus of Linear Multi-agent systems Subject to Input Saturation

On Global Consensus of Linear Multi-agent Systems Subject to...

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American control Conference

作者： Ziyang Meng Zhiyun Zhao Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781457710957

This paper studies the leader-following consensus problem for a group of agents with identical linear systems subject to control input saturation. We focus on two classes of linear systems, neutrally stable systems and double integrator systems. For neurally stable systems, we establish that global consensus can be achieved by linear local feedback laws over an undirected fixed or a switching communication topology. For double integrator systems, we establish that global consensus can be achieved by linear local feedback laws over a fixed communication topology and, with the help of a simple saturation function in the local feedback laws, global consensus can also be achieved over a switching undirected topology. Simulation results illustrate the theoretical results.

关键词： Lead Topology Switches Multiagent systems Linear systems Trajectory

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Distributed Finite-time Cooperative Tracking of Networked Lagrange systems via Local Interactions

Distributed Finite-time Cooperative Tracking of Networked La...

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American control Conference

作者： Ziyang Meng Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781457710957

This paper studies the finite-time cooperative tracking problem for networked Lagrange systems with a time-varying leader's generalized coordinate derivative. First, a finite-time state feedback control protocol is proposed for each follower by using only local information, under which the states of the followers are shown to converge to those of the leader in finite time. The results of the static feedback design are then extended to those of the dynamic feedback design. The finite-time cooperative tracking problem of networked Lagrange systems over a directed switching communication topology is proposed. With the help of a so-called finite-time consensus-based observer, we show that cooperative tracking of networked Lagrange systems can be achieved in finite time if the leader has directed information paths to each follower at each time instant and the control parameters satisfy certain conditions.

关键词： Lagrange Mentoring tracking problem local information. control parameter

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An Improved Robust Model Predictive control Approach to systems with Linear Fractional Transformation Perturbations

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International Journal of automation and computing 2011年第1期8卷 134-140页

作者： Peng-Yuan Zheng Yu-Geng Xi De-Wei Li Department of Automation Shanghai Jiao Tong University Shanghai 200240 PRC Key Laboratory of System Control and Information Processing Ministry of Education PRC

In this paper, a robust model predictive control approach is proposed for a class of uncertain systems with time-varying, linear fractional transformation perturbations. By adopting a sequence of feedback control laws instead of a single one, the control performance can be improved and the region of attraction can be enlarged compared with the existing model predictive control （MPC） approaches. Moreover, a synthesis approach of MPC is developed to achieve high performance with lower on-line computational burden. The effectiveness of the proposed approach is verified by simulation examples.

关键词： Robust model predictive control linear fractional transformation （LFT） perturbations linear matrix inequalities （LMIs） feedback model predictive control （MPC） framework sequence of feedback control laws.

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Model-based Predictive control for Spatially-distributed systems Using Dimensional Reduction Models

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International Journal of automation and computing 2011年第1期8卷 1-7页

作者： Meng-Ling Wang Ning Li Shao-Yuan Li Institute of Automation Shanghai Jiao Tong University Shanghai 200240 PRC Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 PRC

In this paper, a low-dimensional multiple-input and multiple-output （MIMO） model predictive control （MPC） configuration is presented for partial differential equation （PDE） unknown spatially-distributed systems （SDSs）. First, the dimension reduction with principal component analysis （PCA） is used to transform the high-dimensional spatio-temporal data into a low-dimensional time domain. The MPC strategy is proposed based on the online correction low-dimensional models, where the state of the system at a previous time is used to correct the output of low-dimensional models. Sufficient conditions for closed-loop stability are presented and proven. Simulations demonstrate the accuracy and efficiency of the proposed methodologies.

关键词： Spatially-distributed system principal component analysis （PCA） time/space separation dimension reduction model predictive control （MPC）.

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Adaptive Variable Selection Using Nonnegative Garrote with Application to Soft Sensor and Fault Detection

Adaptive Variable Selection Using Nonnegative Garrote with A...

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第23届过程控制会议

作者： Jian-guo Wang Chang-Chun Pan Shi-Shang Jang David Shan-Hill Wong Shyan-Shu Shieh Chan-Wei Wu School of Mechatronical Engineering and Automation Shanghai University and Shanghai Key Labof Power Station Automation Technology Shanghai 200072 China Department of Automation and Key Laboratory of System Control and Information Processing Ministry ofEducation of China Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Hsin-Chu 30013 Taiwan Department of Occupational Safety and Hygiene Chang Jung University Tainan 71101 Taiwan Energy & Air Pollution Control Section New Materials R&D Dept. China Steel Corporation Kaohsiung 81233 Taiwan

ring normal operations, response or quality variables of a process will follow a input-output relation that depend on certain key sensor variables. A soft-sensor with limited model size can be developed. When the process enters into a “faulty” state, the structure, of this model may change. Moreover, disturbance that is not reflected by sensor outputs may also be present. In this paper, we introduce a recursive soft-sensor modeling algorithm which employs a nonnegative garrote (NNG) variable selection procedure. This model can be used for both prediction, and detection of structural model change and the emergence of disturbance. The advantages of the proposed method were demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： NNG(nonnegative garrote) Soft sensor Fault detection

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A method for detection and classification of glass defects in low resolution images

A method for detection and classification of glass defects i...

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International Conference on Image and Graphics

作者： Zhao, Jie Kong, Qing-Jie Zhao, Xu Liu, Jiapeng Liu, Yuncai Department of Automation Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769545417

This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH) is proposed to describe the characteristic of the glass defect. Finally, the AdaBoost method is adopted for classification. The classifiers are designed based on BFH. Experiments with 800 bubble images and 240 non-bubble images prove that the proposed method is effective and efficient for recognition of glass defects, such as bubbles and inclusions. © 2011 IEEE.

关键词： Adaptive boosting

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Detecting motion patterns in dynamic crowd scenes

Detecting motion patterns in dynamic crowd scenes

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International Conference on Image and Graphics

作者： Wang, Chongjing Zhao, Xu Zou, Yi Liu, Yuncai Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769545417

Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical flow vectors through hierarchical clustering. Experiment evaluation on some challenging videos shows reliable detection results and demonstrates the effectiveness of our proposed approach. © 2011 IEEE.

关键词： Optical flows

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