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Energy saving based on upgrading cooling system in composite plant

Energy saving based on upgrading cooling system in composite...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： P. Promwong A. Chaikla R. Masuchun D. Chansangsuk P. Julsereewong Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

this paper presents an upgrading cooling system to minimize the energy costs based on the energy saving. the proposed technique uses a plate-and-frame heat exchanger to replace the traditional worm cooler. the performances of the proposed upgrading were observed using a cooling system of the composite plant in thailand as an illustrative case study. the experimental results demonstrating the saving in energy costs and some economic benefits of the proposed technique are included.

关键词： Chemical industry Space heating Costs Power generation economics Electronics cooling Heat transfer Feeds Temperature control Chemical processes control systems

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Leak detection in pipelines based on PCA

Leak detection in pipelines based on PCA

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Rong Hu Hao Ye Guizeng Wang Chen Lu Department of Automation Tsinghua University Beijing Beijing China

ISBN: (纸本)0780386531

Leak detection of oil pipelines is an important issue for safe operation of pipelines, reducing oil loss and environmental pollution. A new approach based on principal component analysis (PCA) method to detect leaks of oil pipelines is proposed in this paper. In order to detect leaks, a classifier is designed to recognize negative pressure wave curve by training set. Results indicate that the method can detect many leak faults from a pressure curve, which might not be effectively detected by a traditional signal processing based method but can be recognized easily by human visual perception.

关键词： Leak detection Pipelines Principal component analysis Petroleum Signal processing Humans Fault detection Oil pollution Wavelet transforms Covariance matrix

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Dynamic modelling and control for multivariable output distribution systems

Dynamic modelling and control for multivariable output distr...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Wen Wang Hong Wang School of Mechanical Science and Engineering HUST Wuhan Hubei China Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780386531

Following the recently developed strategies for the modelling and control for multi-input multi-output (MIMO) distribution control systems, this paper presents a dynamic model for the control of combined probability density function. A multilayer perceptron (MLP) neural network is used to approximate the probability density function (PDF) of the systems and a high-order dynamic nonlinear state-space model is obtained. then nonlinear principal component analysis (NLPCA) is adopted to reduce the obtained model order and a lower-order time-varying system is achieved. the controller design for the lower-order time-varying system is given. the effectiveness of the result has been demonstrated by two examples in the end.

关键词： Probability density function Time varying systems MIMO control system synthesis Multilayer perceptrons Neural networks Multi-layer neural network Nonlinear dynamical systems Principal component analysis control systems

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Robust stabilization for stochastic time-delay systems with polytopic uncertainties

Robust stabilization for stochastic time-delay systems with ...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Shengyuan Xu J. Lam Yun Zou Ningfan Zhong Huijun Gao Changhong Wang Department of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Automation Nanjing University of Science and Technology Nanjing P. R. China Department of Mechanical Engineering University of Hong Kong Hong Kong Inertial Navigation Center Harbin Institute of Technology Harbin P. R. China

this paper considers the problem of robust stabilization for stochastic time-delay systems with convex polytopic uncertainties. Sufficient conditions for the solvability of the problem are obtained by using parameter-independent and parameter-dependent Lyapunov functional, respectively. It is shown that the result derived by a parameter-dependent Lyapunov functional is less conservative. A desired state feedback controller can be designed by solving a set of linear matrix inequalities.

关键词： Robustness Stochastic systems Uncertainty State feedback Symmetric matrices control systems Uncertain systems Delay systems Artificial intelligence Linear feedback control systems

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Model on robots of flexible manufacturing system with Petri net in welding

Model on robots of flexible manufacturing system with Petri ...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： G.H. Ma S.B. Chen T. Qiu X.Y. Ding Institute of Welding Engineering Shanghai Jiaotong University Shanghai China

In this paper, a new model is designed for welding flexible manufacturing system (WFMS) of multiple robots in a different way with Petri net (PN), which is multi-robot WFMS time Petri net (MRWTPN). Because the complexity of information and the device of welding system, the function of inhibit arc is imported in the model and we design two-layer way in model's structure, one is main net that depicts the system, the other is subnet depicting appointed device which are welding robot and assistant robot. Hence the control model's characters are proved correctly in theory, too. the model and control's policies researched have established foundation for further intelligent real-time control on WFMS, and it extends the applied area of PN.

关键词： Flexible manufacturing systems Welding robotics and automation Intelligent robots control systems Service robots Motion control Job shop scheduling Robot control Power system reliability

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Stochastic power control algorithm in CDMA systems

Stochastic power control algorithm in CDMA systems

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Min Cai Wei Wang HuanShui Zhang Shenzhen Graduate School of Harbin Institute of Technology Shenzhen University Shenzhen China Research Centre of Information and Control Dalian University of Technology Dalian China

ISBN: (纸本)0780386531

Transmitter power control has been proven to be an efficient method to solve co-channel interference in CDMA system, and to increase the capacity of systems. A novel distributed power control algorithm based on estimates of channel gains is presented in this paper. the proposed algorithm is robust and does not require the exact knowledge of channel gains. In the proposed scheme, power control problem is converted into the zero point problem of a certain function. It is proved that the algorithm converges to the average optimal solution by stochastic approximation approach.

关键词： Stochastic systems Power control Multiaccess communication Iterative algorithms Stochastic processes Power system modeling Base stations Transmitters Interference Delay

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Multiobjective control synthesis based on parametric eigenstructure assignment

Multiobjective control synthesis based on parametric eigenst...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Liang He Yan-Ming Fu Guang-Ren Duan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)0780386531

In virtue of the modified bounded real lemma (BRL), multi-objective control synthesis based on parametric eigenstructure assignment in linear systems is considered. By applying the degrees of design freedom provided by eigenstructure assignment in linear systems, a state feedback controller is designed such that the closed-loop system satisfies H/sub /spl infin//-norm bound constraints on disturbance attenuation and pole constraints. the proposed design method is formulated in terms of linear matrix inequality (LMI) which can be easily solved by the MATLAB LMI toolbox. An example demonstrates the effect of the proposed design approach.

关键词： Symmetric matrices State feedback control systems Eigenvalues and eigenfunctions Linear systems Linear feedback control systems Vectors control system synthesis Attenuation Helium

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A robust position controller design for PM synchronous motor using neural network

A robust position controller design for PM synchronous motor...

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Wang Jun Peng Hong School of Electrical Information Xihua University Chengdu Sichuan China School of Computer and Mathematic Xihua University Chengdu Sichuan China

ISBN: (纸本)0780386531

A robust position controller for permanent magnet synchronous motor is described in this paper. First, linear quadratic method is employed to design the permanent magnet synchronous motor system approximately linear using field orientation theory. then, the neural network technique with adaptive learning rates is implemented to make the system insensitive to the uncertainties including parameter variations and external disturbance in the whole control process. Finally, the experimental results verify that the dynamic behaviors of the proposed control systems are robust with regards to uncertainties.

关键词： Robust control Synchronous motors Neural networks Permanent magnet motors Uncertainty control systems Linear approximation Adaptive systems Programmable control Adaptive control

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A variation of the small gain theorem

A variation of the small gain theorem

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Zhiyong Chen Jie Huang Department of Automation and Computer-Aided Engineering Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)0780386531

the small gain theorem as established in [Z.P. Jiang and I. Mareels, 1997] and [Z.P. Jiang et al., 1994] has been given in terms of a quite general inter-connection of two nonlinear subsystems. this paper gives a more clear-cut version and a more straightforward proof for the small gain theorem for a simpler inter-connection of two nonlinear subsystems by using a different characterization of the ISS concept. Moreover, we have also incorporated some type of model uncertainties into the system description, thus making this special version directly applicable to the global robust stabilization and output regulation problems.

关键词： Stability automation Uncertainty Robustness Time invariant systems Councils Nonlinear systems

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Stabilization of 2-D Markovian jump systems in Roesser model

Stabilization of 2-D Markovian jump systems in Roesser model

引用

international conference on control, automation, robotics and vision (ICARCV)

作者： Huijun Gao Changhong Wang J. Lam Interial Navigation Center Harbin Institute of Technology Harbin China Mechanical Engineering University of Hong Kong Hong Kong China

this paper is concerned with the problem of stabilizing controller design for 2-D systems with Markovian jump parameters. the mathematical model of 2D jump systems is established upon the well-known Roesser model, and sufficient conditions are obtained for the existence of desired controllers in terms of linear matrix inequalities (LMIs), which can be readily solved by available numerical software. A numerical example is provided to show the applicability of the proposed theories.

关键词： Symmetric matrices Sufficient conditions Linear matrix inequalities Water heating Digital filters Stochastic systems Mathematical model Inertial navigation Design engineering control systems

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