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Design and performance analysis of networked control systems with random delay

Journal of Systems engineering and Electronics 2009年第4期20卷 807-822页

作者： Xia Yuanqing Fu Mengyin Liu Bo Liu Guoping Dept. of Automatic Control Beijing Inst. of Technology Beijing 100081 P. R. China Dept. of Engineering Univ. of Glamorgan Pontypridd CF37 1DL U. K.

The design and performance analysis of networked control systems with random network delay in the forward channel is proposed, which are described in a state-space form. A new control scheme is used to overcome the effects of network transmission delay, which is termed networked predictive control （NPC）. Furthermore, three different ways to choose control input are discussed and the performances are analyzed, respectively. Both real-time simulations and practical experiments show the effectiveness of the control scheme.

关键词： networked control system. Dredictive control random network delay stability

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Novel Design of Interactive Caption and Recognition Postures within the Wearable and Non-Vision System over Wireless Sensor Network

Novel Design of Interactive Caption and Recognition Postures...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： W.T. Huang Chao-Nan Hung Chiu-Ching Tuan Chin-Hsing Chen Yuan-Jen Chang You-Yin Chen Department of Computer Science and Information Engineering Minghsin University of Science and Technology Taiwan R.O.C. Department of Graduate Institute of Computer and Communication Engineering National Taipei University of Technology Taiwan Department of Management Information Systems Central Taiwan University of Science and Technology Taiwan Dept. of Electr. & Control Eng. Nat. Chiao Tung Univ. Hsinchu Taiwan

In this study, we design and present the novel wearable system with the interactive posture caption and recognition functions based on the non-vision over the ZigBee wireless sensor network (ZigBee-WSN). There are two type sensors, 3-axis accelerometer and clip type, to be employed in our wearable system. These sensors are arranged on user's four limbs such that the posture information can be gathered by them. Then, the posture information is transmitted to the data-controlling center over ZigBee-WSN. Finally, this center can analyze and distinguish various postures by our proposed algorithm through the friend user's interface to express. Our presented wearable system can distinguish out 28 kinds of hand postures and 13 kinds of leg postures altogether. Moreover, under our presented ZigBee-WSN system with small size, low-power consumption, and high-reliability characteristics, the data-controlling center can simultaneously tele-monitor the real-time body interactive postures of 8 persons, when the transmitting distance is less than 18 M and the package correct transmitted rate is more than 97.5%.

关键词： Wireless sensor networks Wearable sensors ZigBee Sensor systems Accelerometers Algorithm design and analysis User interfaces Leg Real time systems Packaging

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Low-order model for tokamak plasma current control

Low-order model for tokamak plasma current control

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ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009

作者： Garrido, Aitor J. Garrido, Izaskun Sevillano, M. Goretti Amundarain, Modesto Alberdi, Mikel Barambones, Oscar Martija, Itziar Dept. of Automatic Control and Systems Engineering EUITI de Bilbao UPV/EHU Spain Dept. of Automatic Control and Systems Engineering EUI de Vitoria UPV/EHU Spain Dept. of Mechanical Engineering EUITI de Bilbao UPV/EHU Spain

ISBN: (纸本)9784907764296

Nowadays there exists a need of carrying out new features and improvements in the existing and future tokamak devices as ITER or DEMO. The present capabilities of the control engineering and the development of fusion technologies allow the achievement new plasma configurations. These aspects, jointly with the increased performance of the computer hardware and the advances in plasma modelling and control, give a new impulse to the development of models and methods for the design of the scenario. In this sense, the present work is devoted to derive a low-order model of the plasma and surrounding conducting structure with the purpose of facilitating the control requirements in terms of plasma shape and current density profiles. © 2009 SICE.

关键词： Tokamak devices

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A simulation study of consensus speed over scale-free networks

A simulation study of consensus speed over scale-free networ...

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IFAC Workshop on Networked Robotics, NetRob09

作者： Sun, Wei Chen, Yang Quan Dept. of Automatic Control Beijing Institute of Technology Beijing 100081 China Dept. of Electrical and Computer Engineering Utah State University Logan UT 84322 United States

ISBN: (纸本)9783902661531

Scale-free network and consensus among multiple agents have both drawn quite much attention. To investigate the consensus speed over scale-free networks is the main topic in this paper. Given a set of different values for the power-law distribution parameter γ, and a set of different values for the minimum degree (dmin) for the nodes, the algebraic connectivity (γ2) of the network topology is studied, as well as the time (t c) (or iteration (kc), for discrete algorithm) taken to reach consensus. The results exhibit that γ2 decreases while increases. The γ2 increases monotonically as dmin grows, and they fit very well in a linear relationship. tc (or kc) decreases as reduces and dmin increases. Via observing the behavior of the largest eigenvalue (γn) of the Laplacian of the network topology, we draw the conclusion that the robustness over time delays declines while the robustness over node-failures and edge-failures increases. © 2009 IFAC.

关键词： Iterative methods

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Finite impulse response neural networks with applications in speed control of DC motor drive

Finite impulse response neural networks with applications in...

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作者： Sallam, A.S. Mohamed, H.A. Computer and Control Engineering Dept. Faculty of Engineering Tanta University Egypt

ISBN: (纸本)9780791802977

An increasing number of applications of dynamic neural networks has been developed for digital signal processing (DSP) , dynamic neural networks are feedforward neural networks with commonly used scalar synapses replaced by linear filters. This provides feedforward neural networks with the capability of performing dynamic mappings, which depend on past input values, dynamic neural networks are suitable for time series prediction, nonlinear system identification, and signal processing applications. Their most popular types are Finite Impulse Response (FIR) neural networks, which are obtained by replacing synapses with finite impulse response filters. Due to their guaranteed stability characteristic and easy to minimize error surface they have been used with great success in many applications such as signal enhancement, noise cancellation, classification of input patterns, system identification, prediction, and control.. Most of the works on system identification using neural networks are based on multilayer feedforward neural networks with backpropagation learning or more efficient variations of this algorithm, an elegant method for training layered networks. This paper is based on work in a Dynamic System Modeling (DYSMO) and as an application for speed control of DC motor drive.

关键词： Multilayer neural networks

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Quality-driven synthesis of embedded multi-mode control systems 09

Quality-driven synthesis of embedded multi-mode control syst...

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2009 46th ACM/IEEE Design Automation Conference, DAC 2009

作者： Samii, Soheil Eles, Petru Zebo, Peng Cervin, Anton Dept. of Computer and Information Science Linköping University Linköping Sweden Dept. of Automatic Control Lund University Lund Sweden

ISBN: (纸本)9781605584973

At runtime, an embedded control system can switch between alternative functional modes. In each mode, the system operates by using a schedule and controllers that exploit the available computation and communication resources to optimize the control performance in the running mode. The number of modes is usually exponential in the number of control loops, which means that all controllers and schedules cannot be produced in affordable design-time and stored in memory. This paper addresses synthesis of multi-mode embedded control systems. Our contribution is a method that trades control quality with optimization time, and that efficiently selects the schedules and controllers to be synthesized and stored in memory. Copyright 2009 ACM.

关键词： controllers

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Fault Detection in IP-based Process control Networks using Data Mining

Fault Detection in IP-based Process Control Networks using D...

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IFIP/IEEE International Symposium on Integrated Network Management (IM 2009)

作者： Park, Byungchul Won, Young J. Yu, Hwanjo Hong, James Won-Ki Noh, Hong-Sun Lee, Jang Jin Dept. of Computer Science and Engineering POSTECH South Korea Electric and Control Maintenance Dept. POSCO South Korea

ISBN: (纸本)9781424434862

Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual, cumbersome, and inefficient. Detecting early symptoms of potential problems is very important but automated solutions do not yet exist. Our research goal is to automate the process of detecting and diagnosing the communication faults as well as to prevent problems by detecting early symptoms of potential problems. To achieve our goal, we have first investigated real-world fault cases and summarized control network failures. We have also defined network metrics and their alarm conditions to detect early symptoms for communication failures between process control servers and devices. In particular, we leverage data mining techniques to train the system to learn the rules of network faults in control networks and our testing results show that these rules are very effective. In our earlier work, we presented a design of a process control network monitoring and fault diagnosis system. In this paper, we focus on how the fault detection part of this system can be improved using data mining techniques.

关键词： Process control network network management fault detection fault diagnosis machine learning data mining

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LPV non-integer order model and control of an irrigation canal using gain scheduling technique

LPV non-integer order model and control of an irrigation can...

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35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009

作者： Martínez, Rubén Bolea, Yolanda Grau, Antoni Martínez, Herminio Automatic Control Dept. Technical University of Catalonia Barcelona Spain Electronics Engineering Dept. Technical University of Catalonia Barcelona Spain

In this paper, a novel method for controlling main irrigation canals with variable dynamic parameters is proposed. A non-integer order based gain-scheduling controller for canal systems is presented. This controller takes into account the variations of parameters in each operating point by using a linear parameter variable (LPV) non-integer order model obtained by fractional LPV identification. This non-integer controller has been designed in accordance with the control input bound and assure closed loop poles placement desired in all the working operation canal range. This approach is validated in a pilot canal plant. control results guarantee the desired performance and stability for slow parameters variation in the whole operation canal range. ©2009 IEEE.

关键词： Irrigation canals

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Mid and short term conflict resolution in autonomous aircraft operations 8

Mid and short term conflict resolution in autonomous aircraf...

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8th Innovative Research Workshop and Exhibition

作者： Chaloulos, Georgios Roussos, Giannis P. Lygeros, John Kyriakopoulos, Kostas J. Automatic Control Lab Dept. of Electrical Engineering ETH Zürich Zürich Switzerland Control Systems Lab Dept. of Mechanical Engineering National Technical University of Athens Zografou Greece

We investigate the conflict resolution problem in a self separation airspace. Using the recent advances in the fields of robotics and control, we use navigation functions to resolve conflicts arising in the Short Term, which guarantee conflict avoidance, while in Mid Term, a model predictive controller makes sure that the designed system respects the operational constraints of the situation and maximizes some performance for the system. Both algorithms operate in a decentralized scheme, following the autonomous aircraft concept investigated under the European project iFly. Priority issues are discussed and ways to take them into consideration in our setting are shown. The algorithm performance is demonstrated on simulations in planar configurations.

关键词： Robots

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A sensorless vector control of induction motor drives based on artificial neural networks

A sensorless vector control of induction motor drives based ...

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作者： Barambones, Oscar Dept. of Automatic Control and System Engineering University of the Basque Country EUI Nieves cano 12 Vitoria Spain

ISBN: (纸本)9783902661463

This paper presents a speed control of an induction motor. The design uses an feedforward Artificial Neural Network (ANN) to implement a rotor speed estimator, and a robust control strategy based on the sliding-mode. The proposed control scheme also make use of the field oriented control theory to simplify the proposed control design. The stability analysis of the presented control scheme is provided using the Lyapunov stability theory. Finally simulated results show that the presented controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances. © 2009 IFAC.

关键词： Vector control (Electric machinery)

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