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Nonlinear model predictive controller design for identified nonlinear parameter varying model

Telkomnika 2012年第3期10卷 514-523页

作者： Lu, Jiangang You, Jie Yang, Qinmin State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

In this paper, a novel nonlinear model predictive controller (MPC) is proposed based on an identified nonlinear parameter varying (NPV) model. First, an NPV model scheme is present for process identification, which is featured by its nonlinear hybrid Hammerstein model structure and varying model parameters. The hybrid Hammerstein model combines a normalized static artificial neural network with a linear transfer function to identify general nonlinear systems at each fixed working point. Meanwhile, a model interpolating philosophy is utilized to obtain the global model across the whole operation domain. The NPV model considers both the nonlinearity of transition dynamics due to the variation of the working point and the nonlinear mapping from the input to the output at fixed working points. Moreover, under the new NPV framework, the control action is computed via a multistep linearization method aimed for nonlinear optimization problems. In the proposed scheme, only low cost tests are needed for system identification and the controller can achieve better output performance than MPC methods based on linear parameter varying (LPV) models. Numerical examples validate the effectiveness of the proposed approach.

关键词： controllers

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Decentralized control of heterogeneous multi-agents in collective circular motion

Decentralized control of heterogeneous multi-agents in colle...

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31st Chinese control Conference, CCC 2012

作者： Zhiyong, Chen Zhang, Hai-Tao School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 Australia Department of Control Science and Engineering State Key Lab of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9789881563811

It is an interesting topic to study decentralized control algorithms for a group of agents to achieve a class of collective circular motion, or called torus. An algorithm was proposed in [1] where no global beacon information is required, however, the agents are homogeneous. In particular, it was assumed that the agents have a common nominal rotation radius and share a common reference frame. In this paper, an improved algorithm is proposed on heterogeneous agents by removing the two assumptions. © 2012 Chinese Assoc of Automati.

关键词： Decentralized control

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Prediction error method for identification of LPV models

Prediction error method for identification of LPV models

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作者： Zhao, Yu Huang, Biao Su, Hongye Chu, Jian State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China University of Alberta Department of Chemical and Material Engineering Edmonton AB T6G-2G6 Canada

This paper is concerned with identification of linear parameter varying (LPV) systems in an input-output setting with Box-Jenkins (BJ) model structure. Classical linear time invariant prediction error method (PEM) is extended to the LPV PEM. Under the new LPV framework, identification of two types of input-output LPV models is considered: one is based on parameter interpolation and the other is based on model interpolation. The effectiveness of the proposed solution is validated by comparison with other existing LPV identification approaches through simulation examples and demonstrated by experiment studies. © 2011 Elsevier Ltd. All Rights Reserved.

关键词： Interpolation

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Optical measurement system for two-phase flow in horizontal small tube based on photodiode arrays

Optical measurement system for two-phase flow in horizontal ...

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IEEE Instrumentation and Measurement technology Conference

作者： Haifeng Ji Chong Fu Zhiyao Huang Baoliang Wang Haiqing Li State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering University of Zhejiang Hangzhou China

Based on photodiode array, an optical measurement system is established for gas-liquid two-phase flow in small tubes. A method is proposed for characterization and flow regime identification of gas-liquid two-phase flow. In the experiment, different flow regimes are observed in a horizontal glass tube with inner diameter of 4.02mm and outer diameter of 6.12mm, and voltage signals are obtained from the 8-element photodiode array through sensing circuits. Probability density function (PDF) and Fourier transform are used for the analysis on signal characteristics of flow regimes. To identify flow regimes, eigenvalues of the statistics are calculated, then the principal component analysis (PCA) is implemented to reduce the dimensionality of data sets, finally support vector machine (SVM) is applied for identification. Experimental results show that the optical system based on photodiode array is effective in the measurement of gas-liquid two-phase flow parameters in small tubes. The proposed method proves effective in characterization and flow regime identification of gas-liquid two-phase flow, and the experimental results are satisfactory.

关键词： Electron tubes Photodiodes Support vector machines Principal component analysis Image motion analysis Computer vision Optical variables measurement

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Void fraction measurement of gas-liquid two-phase flow based on C4D technique

Void fraction measurement of gas-liquid two-phase flow based...

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IEEE Instrumentation and Measurement technology Conference

作者： Lei Wang Zhiyao Huang Baoliang Wang Haifeng Ji Haiqing Li State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering University of Zhejiang Hangzhou China

The feasibility of applying capacitively coupled contactless conductivity detection (C 4 D) technique to void fraction measurement of gas-liquid two-phase flow is investigated. As a preliminary study, this research focuses on the void fraction measurement of stratified flow and includes three parts. First, a C 4 D sensor is developed based on series resonance principle, and a void fraction measurement system of gas-liquid two-phase flow is constructed based on C 4 D technique. Second, simulation analysis is performed to study the performance of the developed C 4 D sensor for void fraction measurement. Third, with the constructed void fraction measurement system, experiments are carried out in the pipe with 15.6mm inner diameter, and the measurement results are compared with the simulation results. Experiment results show that the developed C 4 D sensor is successful and the constructed void fraction measurement system is effective. The monotonicity and the resolution of the developed C 4 D sensor for void fraction measurement are satisfactory. The comparison of the simulation results and the experiment results shows that the practical measurement results are in good agreement with the simulation analysis. This research work verifies that applying C 4 D to void fraction measurement of gas-liquid two-phase flow is feasible (at least, for the void fraction measurement of stratified flow).

关键词： Fluid flow measurement Electrodes Conductivity Pollution measurement Analytical models Capacitance Simulation

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Online parameters measurement of Taylor flow in small channels using optical technique

Online parameters measurement of Taylor flow in small channe...

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IEEE Instrumentation and Measurement technology Conference

作者： Jun Long Haifeng Ji Baoliang Wang Zhiyao Huang Haiqing Li State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering University of Zhejiang Hangzhou China

In this work, an online optical system for the parameters measurement of the gas-liquid Taylor flow in a 4.0mm-inner-diameter small channel was developed. The presented method was able to measure the bubble velocity, bubble frequency, bubble and slug lengths, and determine the void fraction of the gas-liquid Taylor flow in small channels. A homogeneous flow model was introduced to simplify the analysis and parameter calculation of the gas-liquid Taylor flow. Experimental results showed that the presented optical method was effective and well applied to the online measurement or monitoring the parameters of Taylor flow in small channels. The relative error of the measured bubble velocity and void fraction were less than ±5% and ±10%, respectively.

关键词： Optical variables measurement Image motion analysis Computer vision Gas lasers Fluid flow measurement Liquids Frequency measurement

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A novel electrical resistance tomography system based on C4D technique

A novel electrical resistance tomography system based on C4D...

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IEEE Instrumentation and Measurement technology Conference

作者： Baoliang Wang Yuanyuan Hu Haifeng Ji Zhiyao Huang Haiqing Li State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering University of Zhejiang Hangzhou China

For the traditional electrical resistance tomography systems, the contact between the electrodes and liquid may result in electrode corrosion, which limits the application of ERT in industry. In this paper, a new electrical resistance tomography system based on capacitively coupled contactless conductivity technique was developed. The conductivity distribution of liquid between electrodes can be measured without direct contact with the liquid. The data acquisition system is designed based on phase-sensitive demodulation method. Experiment results show that the conductivity distribution images can be reconstructed.

关键词： Electrodes Electrical resistance measurement Resistance Conductivity Tomography Contacts Image reconstruction

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Introduction to time series search engine systems

Introduction to time series search engine systems

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2012 International Conference on Systems and Informatics, ICSAI 2012

作者： Zhang, Chuanlei Luo, Ji'An Zhang, Shanwen Zhang, Chen Department of Electrical and Computer Engineering Ryerson University Canada State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang 310027 China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China

Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elaborated. And options for time series search engine architectures and supported features and... 详细信息

ISBN: (纸本)9781467301992

关键词： Search engines

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Nonlinear model predictive controller design for identified nonlinear parameter varying model

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Telkomnika - Indonesian Journal of Electrical engineering 2012年第3期10卷 514-523页

作者： Lu, Jiangang You, Jie Yang, Qinmin State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

In this paper, a novel nonlinear model predictive controller (MPC) is proposed based on an identified nonlinear parameter varying (NPV) model. First, an NPV model scheme is present for process identification, which is featured by its nonlinear hybrid Hammerstein model structure and varying model parameters. The hybrid Hammerstein model combines a normalized static artificial neural network with a linear transfer function to identify general nonlinear systems at each fixed working point. Meanwhile, a model interpolating philosophy is utilized to obtain the global model across the whole operation domain. The NPV model considers both the nonlinearity of transition dynamics due to the variation of the workingpoint and the nonlinear mapping from the input to the output at fixed working points. Moreover, under the new NPV framework, the control action is computed via a multistep linearization method aimed for nonlinear optimization problems. In the proposed scheme, only low cost tests are needed for system identification and the controller can achieve better output performance than MPC methods based on linear parameter varying (LPV) models. Numerical examples validate the effectiveness of the proposed approach. © 2012 Universitas Ahmad Dahlan.

关键词： controllers

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Robust nonlinear model predictive control algorithm based on reduced precision solution criteria

Robust nonlinear model predictive control algorithm based on...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jiaona Wan Tiejun Zhang Kexin Wang Xueyi Fang Zhijiang Shao Research Institute of Highway Ministry of Transport Beijing 100088 China State Key Lab. of Industrial Control Technology Institute of Industrial Control Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

This paper discusses the robustness of nonlinear model predictive control (NMPC) based on sub-optimal solution obtained under reduced precision solution (RPS) criteria. NMPC needs to solve the optimal control problem (OCP) quickly and the input is injected to the controlled plant in time. Traditional convergence criteria in optimization algorithms usually cost excessive long computation time with little improvement of solution, which results in degradation of control performance eventually. RPS criteria are new convergence criteria for deciding whether the current iterate is good enough and whether the optimization procedure should be terminated. It can terminate the optimization process timely. This work pays special attention to robustness of the closed-loop system controlled by NMPC with RPS criteria when model plant mismatch exists. Simulations demonstrate that the proposed algorithm owns good robustness and stability.

关键词： Optimization Delay Mathematical model Computational modeling Convergence Robustness Asymptotic stability

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