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Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Date 25-27 May 2009

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Displaying Results 1 - 25 of 816
  • [Copyright notice]

    Page(s): i
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    Freely Available from IEEE
  • Message from general chairs

    Page(s): 1 - 2
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    Freely Available from IEEE
  • Organizing Committee

    Page(s): 1 - 4
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    Freely Available from IEEE
  • Program at a glance

    Page(s): 1
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    Freely Available from IEEE
  • Technical program

    Page(s): 51 - 113
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    Freely Available from IEEE
  • Author index

    Page(s): 279 - 300
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    Freely Available from IEEE
  • Design of ship motion controller based on discrete fuzzy multi-model approach

    Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (396 KB) |  | HTML iconHTML  

    The problems of the discrete fuzzy controller design for the ship motion system and the stability analysis for the closed-loop discrete fuzzy system are studied. Firstly, a discrete T-S fuzzy model of the ship motion system is established; then, by using the method of parallel distributed compensation, a new sufficient condition to check the stability of the closed-loop discrete T-S fuzzy system is proposed based on the definition of the discrete piecewise fuzzy Lyapunov function. This condition only needs satisfying the condition of the fuzzy Lyapunov approach in each maximal overlapped-rule group. Therefore, the proposed condition is less conservative and difficult than the common Lyapunov approach and the fuzzy Lyapunov approach. Finally, a fuzzy controller of a ship motion system is designed, and the simulation results show that the approach proposed is effective. View full abstract»

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  • Learning identification and control of a class of discrete periodic systems

    Page(s): 6 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (282 KB) |  | HTML iconHTML  

    In this paper, periodic learning control is presented for deterministic periodic auto-regressive exogenous systems. The control problem is approached in a certainty equivalence framework, of which a periodic learning identification algorithm is formed to estimate the periodic time-varying parameters, and the only prior knowledge is the periodicity. The learning algorithm updates the estimates periodically, tailored for the purpose of periodic parameters estimation. The main properties of the algorithm are explored for establishing the stability and global convergence of the proposed control scheme. With the aid of the key technical lemma, the asymptotical convergence of the tracking error is guaranteed as the number of periods approaches infinity, while the input and output signals of the discrete periodic systems remain bounded. The effectiveness of the proposed method is verified through numerical simulation. View full abstract»

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  • An adaptive IMC-PID control scheme based on neural network

    Page(s): 12 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (415 KB) |  | HTML iconHTML  

    An adaptive IMC-PID control method based on neural network (NN) is proposed for the typical industrial process in this paper. The conventional IMC-PID provides a convenient method of tuning parameter according to the requirement of the control performance for closed-loop system because it has only one regulable parameter. But when the parameters variation and uncertainty factors are included in the control system, the controller parameter of IMC-PID should be re-tuned on-line. Therefore, the proposed method is applied to adjust the parameter of IMC-PID controller through the self learning of neural network, so as to enhance the robustness and control performance of the system. The weights of the NN are adjusted by the back propagation arithmetic so that the control error can be minimized. Simulation results show that the proposed method could achieve a better system performance than the conventional IMC-PID does. View full abstract»

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  • Design of a regressor-free adaptive impedance controller for flexible-joint electrically-driven robots

    Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (508 KB) |  | HTML iconHTML  

    To the best of our knowledge, this is the first paper focus on the adaptive impedance control of robot manipulators with consideration of joint flexibility and actuator dynamics. Controller design for this problem is difficult, because each joint of the robot have to be described by a 5th-order cascade differential equation. In this paper, a backstepping-like procedure incorporating the model reference adaptive control strategy is employed to construct the impedance controller. The function approximation technique (FAT) is applied to estimate time-varying uncertainties in the system dynamics. The proposed control law is free from the calculation of the tedious regressor matrix which is a significant simplification in implementation. Closed-loop stability and boundedness of internal signals are proved by the Lyapunov-like analysis with consideration of the function approximation error. Computer simulation results are presented to demonstrate the usefulness of the proposed scheme. View full abstract»

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  • On Sliding Mode Control with time varying switching hyperplane for vertical driving arm

    Page(s): 23 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1710 KB) |  | HTML iconHTML  

    This research aims to construct sliding mode control (SMC) system that decreases chattering in controlled object of discrete time system. In conventional SMC, chattering has been generated by turbulence's influencing the state, and repeating operation that jumps over switching hyperplane. Then, we thought about switching hyperplane that always moved according to the change in the state. The feature is that the equal output is obtained, even if input is decreased by making a nonlinear input to 0. In this paper, a simulation is performed using a vertical driving arm and the stability and validity of the proposal method are considered. View full abstract»

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  • Weak signal detection based on stochastic resonance combining with PSO algorithm

    Page(s): 246 - 251
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (709 KB) |  | HTML iconHTML  

    In order to detect a weak signal under the condition of intensive noise, the signal and additive white noise were used as input of a bistable stochastic resonance (SR) system. The noise intensity and the system parameters were adjusted adaptively with particle swarm optimization (PSO) algorithm by examining the SR effect on output signal-to-noise ratio (SNR). An improved numerical solution for a bistable SR model based on a fourth order Runge-Kutta algorithm was presented to enhance the SR effect. The simulation results show that the weak signal in an intensive noisy background could be successfully extracted. What is more, the output SNR was increased more than 20 dB comparing with the input SNR. The proposed approach was used to process the vibration signals of roller bearings to find the small faults in an early stage. The result showed that the approach satisfactorily extracts the defect characteristics. It can be seen that the proposed method was superior to the traditional spectra analysis and wavelet transform methods. Such detection approach indicates a promising prospect for mechanical fault monitoring and diagnosis. View full abstract»

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  • Robust fault detection observer for discrete LTI uncertain systems

    Page(s): 252 - 257
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (336 KB) |  | HTML iconHTML  

    This paper addresses the robust fault detection observer design for discrete LTI systems with additive model uncertainties. The observer design is investigated under the Hinfin/H- index framework in the finite frequency domain where the generalized KYP lemma is used. The threshold design and the worst undetectable fault size estimation are also considered in this paper. A practical application example is given to illustrate the effectiveness of the algorithm obtained in the paper. View full abstract»

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  • Identification inrush current and internal faults of transformer based on hyperbolic S-transform

    Page(s): 258 - 263
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (784 KB) |  | HTML iconHTML  

    In order to solve the problem of mis-operation of transformer differential relay owing to the inrush current, internal faults and inrush current must be discriminate effectively. In this paper, a novel approach of identification between inrush current and internal faults based on hyperbolic S-transform (HST) which is a very powerful tool for nonstationary signal analysis giving the information of transient currents both in time and in frequency domains is presented. The signal is transformed to phase space by using HST and the features are detected. It is found that the time-frequency contours in case of inrush current are different from that in case of internal faults. The results obtained by using HST and discrete wavelet transform (DWT) were compared. Comparison results indicate that the time-frequency localization characteristics are more distinct in ST domain, and HST has strong capability in noise reduction. The spectral energy and standard deviation from the HST of signal are computed, classification of inrush current and internal faults is done by BP neural networks. Simulation results indicate that this technique is effective and feasible. View full abstract»

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  • A study on two novel ant estimators

    Page(s): 264 - 269
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (521 KB) |  | HTML iconHTML  

    Ant colony optimization (ACO) algorithm is usually utilized to solve various combinatorial optimization problems. In this work, however, two novel ant systems are developed to estimate the state of interest, and we call them ant estimators. The first ant estimator is based partly upon the idea of particle filter, while the latter depends on the movement of each ant. For each ant estimator, the ldquopheromonerdquo update equation is well defined in order to guide ants to better solutions. Finally, Monte-Carlo runs are conducted and the results indicate that the two ant estimator perform well in estimating state parameters. In particular, we find that both are capable of tracking maneuvering target without any auxiliary means when employed in the target tracking field. View full abstract»

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  • LPV modelling and gain-scheduled control approach for the transient stabilization of power systems

    Page(s): 29 - 34
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (350 KB) |  | HTML iconHTML  

    In this paper, a new control approach is proposed for the transient stabilization of a single-machine infinite-bus power system. The proposed method is based on an LPV (linear parameter varying) modelling of the nonlinear power system and gain-scheduled output feedback control. It is well-known that when large disturbances or a fault occurs, the nonlinearity inherent in power systems can no longer be ignored. The proposed method can handle the nonlinear model directly. First, we show that the nonlinear model can be transformed equivalently into an LPV system with the rotor angle as the scheduling parameter. Then, a gain-scheduled output feedback controller is designed based on robust pole placement and L2-gain minimization. Simulation results verify that the proposed method is better than well-tuned conventional PSS control. View full abstract»

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  • An improved LMI approach for Static Output Feedback Fault-Tolerant Control with application to flight tracking control

    Page(s): 35 - 40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (481 KB) |  | HTML iconHTML  

    This paper proposes an improved Linear Matrix Inequality (LMI) approach for the synthesis of Static Output Feedback (SOF) Fault-Tolerant Control (FTC). A novel slack variable is introduced into the matrix inequalities, which provides an additional degree of freedom to compute the numerical solution. Subsequently, an improved iterative algorithm is developed to obtain an optimal SOF gain with less conservativeness. In this paper, designs of the SOF gain are shown in the framework of tracking control. The nonlinear simulations of the ADMIRE aircraft are included to demonstrate the effectiveness of the proposed method. View full abstract»

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  • The parametrization of all disturbance observers for plants with input disturbance

    Page(s): 41 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (292 KB) |  | HTML iconHTML  

    The disturbance observers have been used to estimate the disturbance in the plant. Several papers on design methods of disturbance observers have been published. The parametrization of all disturbance observers for plants with any output disturbance was clarified. However, no paper examines the parametrization of all disturbance observers for plants with any input disturbance. In this paper, we clarify existence conditions of a disturbance observer and a linear functional disturbance observers for plants with any input disturbance. Under these conditions, we propose the parametrizations of all disturbance observers and all linear functional disturbance observers for plants with any input disturbance. View full abstract»

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  • Stability of a class of 2D linear systems with smoothing

    Page(s): 47 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (319 KB) |  | HTML iconHTML  

    Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or (often) 2D systems theory. In this paper we begin the development a systems theory for a model of these processes necessary to represent terms which arise in some applications areas but are not included in the currently used models. View full abstract»

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  • Optimal control approach for robust control design of uncertain time-delay systems

    Page(s): 53 - 57
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (399 KB) |  | HTML iconHTML  

    This paper proposes an optimal control approach for the robust control design problem of the linear time-delay systems, which takes parameter uncertainties and state delay into account. It is shown that the robust control problem can be equivalently transformed into an optimal control problem with the amount of plant uncertainties indirectly reflected in the performance index. By introducing algebraic manipulations and appropriate uncertainty descriptions, a sufficient condition is derived under which not only the uncertain dynamical system can achieve stability, but can also reach the guaranteed level of performance. A suitable linear state feedback control law is characterized via Lyapunov stability theory to ensure quadratic stability and performance robustness of the closed-loop system. View full abstract»

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  • Binary Space Partitioning (BSP) for urban terrain

    Page(s): 58 - 64
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (851 KB) |  | HTML iconHTML  

    Urban terrain is complex and they present a very challenging and difficult environment for simulating virtual forces as well as for rendering. The objective of this work is to research on binary space partition technique (BSP) for modeling urban terrain environments. BSP is a method for recursively subdividing a space into convex sets by hyper-planes. This subdivision gives rise to a representation of the scene by means of a tree data structure known as a BSP tree. Originally, this approach was proposed in 3D computer graphics to increase the rendering efficiency. Some other applications include performing geometrical operations with shapes (constructive solid geometry) in CAD, collision detection in robotics and 3D computer games, and other computer applications that involve handling of complex spatial scenes. View full abstract»

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  • Research on the architecture model of a kind of huge complicated intelligent system

    Page(s): 65 - 69
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (595 KB) |  | HTML iconHTML  

    Based on the analysis of the complexity of a kind of huge complicated building the architecture of the intelligent management system for these buildings were provided and then studied using the tools such as large system theory, artificial intelligence and computer control theory. The intelligent system has the hierarchical, multi-level and multi-section structure. The subjects including the system architecture, the software structure and the organization model of data were discussed in detail. The structure flexibility, network connectivity, coordinating, openness and high reliability are the main features of the intelligent system. View full abstract»

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  • A wireless multi-drop IPT security camera system

    Page(s): 70 - 75
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (871 KB) |  | HTML iconHTML  

    This paper presents the design of an IPT security camera system with the integration of a secure wireless communication scheme. Two innovative circuits known as an LCL tuning circuit and a multi-phase interleaving system have been applied to the design of the IPT pick-up circuit. A wireless local area network (WLAN) using 802.11 g protocol has been chosen to realise the high bandwidth communication scheme which supports multiple cameras to operate simultaneously to form a multi-drop configuration. An experimental prototype has been built to verify the proposed concept. View full abstract»

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  • Embedded system framework design for data collection and analysis in the semiconductor and optoelectronic industries

    Page(s): 76 - 81
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (804 KB) |  | HTML iconHTML  

    This thesis proposed a novel embedded system framework (ESF) for data collection of semiconductor and optoelectronic manufacturing equipment. Most present equipment engineering data collection systems acquire engineering data from equipment to remote data collection and analysis servers. In this work, devices implemented ESFs are embedded in the equipment for data collection and some data analysis and monitor functions which require large number of equipment data are plugged in the ESF to reduce huge data transmission in the Internet and resolve factory network burden. The ESF possesses three transmission interfaces, pluggable communication interface (PCI), pluggable application interface (PAI), and equipment driver interface (EDI), to fit various applications. The purpose of PCI is to easily plug in various communication agents. Thus developers of the equipment engineering system (EES) will be able to focus on the EES functions design and disregard the communication issues. PCI provides the interface of messages transmission between embedded pluggable application modules (PAM) and remote computers or mobile devices such as personal digital assistant (PDA) to enhance real-time and prompt equipment monitor and trouble shooting. PAI supplies the standard interface for dynamically plugging in PAM and EDI serves as an interface between equipment and the related driver. The ESF has the ability of serving multiple different application functions and the communication modules, application modules, and equipment drivers are easily replaced according to the requirements. The ESF plays the role of equipment data collection and analysis in EES and transmits the analysis results or alert messages to remote EES servers or PDA. View full abstract»

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  • Design of reconfigurable logic controllers from hierarchical UML state machines

    Page(s): 82 - 87
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    The paper presents a formal design methodology for reconfigurable, modular digital controller logic synthesis. The project of embedded controller starts from behavioral, graphical hierarchical and concurrent state machine description in Unified Modeling Language (UML). After the hierarchical encoding of nested and concurrent superstates, the UML state machine diagram can be directly and automatically mapped into the structured array of cells in Field Programmable Gate Array (FPGA). The design process goes through rule-based symbolic assertions on the behavioral level to propositional logic expressions in Register Transfer Level, which are automatically rewritten in Hardware Description Languages (VHDL or Verilog). The transformation from specification to implementation is partially supported by a computer theorem prover changing the symbolic form of complex UML state machine specification given in the Gentzen sequent logic into simple textual rule-based statements. They are directly accepted by commercial HDL tools for simulation and effective logic synthesis. View full abstract»

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