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第三十三届中国控制会议

作者： Qiao Zhu Yi-Xin Yin Han-Qing Cheng Xian-Zhong Chen School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing

ISBN: (纸本)9781479947249

The proper control of the ratio of ore to coke distribution(ROCD) can achieve energy saving of the blast furnace(BF).In order to achieve the desired ROCD,it is meaningful to search best charging system(especially the burden matrix).This paper deals with the problem of burden distribution control based on the adaptive genetic algorithm and multi-radar ***,the definition of the ratio of ore to coke(ROC) and the desired ROCD are ***,according to the desired ROCD,the concrete steps of searching the best burden matrices are presented based on the adaptive genetic ***,the operators of the adaptive genetic algorithm(especially the mutation operator) are properly adjusted,according to the actual production process of the bell-less ***,three computational experiments demonstrate the effectiveness of the method.

关键词： Bell-less blast furnace Adaptive genetic algorithm Ratio of ore to coke distribution Multi-loop burden matrices.

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Hellinger Distance Based Probability Distribution Approach to Performance Monitoring of Nonlinear control Systems

Hellinger Distance Based Probability Distribution Approach t...

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第25届中国过程控制会议

作者： Chen Li Biao Huang Feng Qian Key Laboratory of Advanced Control and Optimization Ministry of Education East China University of Science and Technology Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 2G6 Canada

control performance monitoring has attracted great attention in both academia and industry over the past two ***,most research efforts have been devoted to the performance monitoring of linear control systems,without considering the pervasive nonlinearities(*** stiction)which present in most industrial control *** this work,a novel probability distribution distance based index is proposed to monitor the performance of non-linear control *** proposed method uses Hellinger distance to evaluate change of control system *** simulation examples are given to illustrate effectiveness of the proposed method.

关键词： control performance monitoring,kernel density estimation,Hellinger distance,nonlinear system

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A novel learning algorithm for pallet grouping technology

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 462卷 36-45页

作者： Lin, Weitian Lian, Zhigang Jiao, Bin Gu, Xingsheng Xu, Wei Shanghai DianJi University Shanghai200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Electric Group Co. Ltd Central Academe Shanghai200070 China

ISBN: (纸本)9783662452608

The Pallet Grouping Problem (PGP) is defined as minimizing the number of pallets for placing all materials in a collection and distribution center. A key to solving the PGP is to tackle the Pallet Loading Problem (PLP). The Pallet Loading Problem aims to maximize the number of identical rectangular boxes placed within a rectangular pallet. All boxes have identical rectangular dimensions and, when placed, must be located completely within the pallet. In this paper, a novel pallet grouping technology is proposed and a new learning algorithm, namely Learning Only from Excellence, (LOE) is presented for solving the pallet loading problem. Simulation results show that compared with the conventional Genetic Algorithm (AG) for two pallet loading problems with different scales, the new learning algorithm is proved to be more efficiently. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Genetic algorithms

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LMI approach for stability in stochastic delayed neural systems

LMI approach for stability in stochastic delayed neural syst...

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International Conference on Natural Computation (ICNC)

作者： Xuyang Lou Yong Qiao B. T. Cui Q. Ye Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China College of Internet of Things Technology Wuxi Institute of Technology Wuxi China

In this paper, the asymptotic stability analysis problem is considered for a class of stochastic Cohen-Grossberg neural networks with time-varying delays. We aim to construct easily verifiable conditions for the asymptotic stability in the mean square of the delayed neural networks. Via a Lyapunov functional and the Halanay inequality technique, several stability criteria are derived. Two examples are provided to illustrate the effectiveness and applicability of the proposed criteria.

关键词： Asymptotic stability Delays Stability criteria Symmetric matrices Stochastic processes Neural networks

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Weld seam detection and feature extraction based on laser vision

Weld seam detection and feature extraction based on laser vi...

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Chinese control Conference (CCC)

作者： Xiuping Wang Ruilin Bai Ziteng Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Information and Control Experiment Teaching Center Jiangnan University Wuxi Jiangsu CN Wuxi Professional College of Science and Technology Wuxi China

This paper presents an algorithm for real time weld seam detection and feature extraction of butt weld, which is based on laser vision sensor installed on the end hand of welding robot. The algorithm preprocesses the weld seam images captured by laser vision sensor as first step and then detects laser stripe edges thus obtains the center of laser stripe. Then a two-step method is used to extract the initial value of center point of weld seam. Finally the weld region is separated from the laser stripe center line using iterative search method, then two edge points and accurate center point of weld region together with the width of weld seam can be calculated. Experiments have shown that the algorithm proposed in this paper has good stability and accuracy, and it can meet the real-time requirements.

关键词： Welding Feature extraction Robot sensing systems Surface emitting lasers Image edge detection

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Multi-model approach to nonlinear system identification with unknown time delay

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IFAC Proceedings Volumes 2014年第3期47卷 9388-9393页

作者： Lei Chen Biao Huang Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 P.R. China Department of Chemical and Materials Engineering University of Alberta Edmonton AB T6G 2G6 Canada

This paper is concerned with identification of nonlinear systems with a noisy scheduling variable, and the measurement of the system has an unknown time delay. Auto regressive exogenous (ARX) models are selected as the local models, and multiple local models are identified along the process operating points. The dynamics of a nonlinear system are represented by associating a normalized exponential function with each of the ARX models; therein, the normalized exponential function is acted as the probability density function. The parameters of the ARX models and the exponential functions as well as the unknown time delay are estimated simultaneously under the expectation maximization (EM) algorithm using the retarded input-output data. A CSTR example is given to verify the proposed identification approach.

关键词： Nonlinear system identification Expectation maximization algorithm Multiple models Time delay

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A parameter tuning method of proportional integral controller for the first-order plus delay time system based on the desired dynamical performance

A parameter tuning method of proportional integral controlle...

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World Congress on Intelligent control and Automation (WCICA)

作者： Kai Ji Ling Xu Huamin Zhang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi PR China School of Internet of Things Technology Wuxi Institute of Commerce Wuxi PR China

The system dynamic performance index indicates the control quantity of a control system. This paper proposes a proportional differential controller design method according to the system dynamic performance requirement. The proposed tuning method is used to the first-order plus delay time system. The simulation results show that the proposed method works effectively.

关键词： Tuning Delays PD control Transfer functions process control Damping

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Time-delayed bilateral teleoperation using wave variable with prediction in three channel control architecture

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High Technology Letters 2013年第1期19卷 12-17页

作者：于振中 Yan Jihong Hui Jing Zhao Jie Ma Yonghu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University State Key Laboratory of Robotics and System Harbin Institute of Technology

This paper proposes a novel method for incorporating wave domain prediction in a three-channel(3CH)architecture,which is the optimal architecture from a transparency point of view,to overcome the poor transparency problem of using the wave variable method in a time-delay teleoperation system.A 3CH teleoperation control architecture is established by selecting parameters of the 4CH architecture sensibly for the system without force sensor in the master *** communication channel is divided into a two-port model by combining force and velocity information reasonably to extend the wave variable method to a 3CH *** the I/O signal of the two-port model is transformed into wave variable.A predictor is added to the wave domain of the master side to further improve the transparency of the system,and a regulator is designed to ensure the passivity of the *** results show that the proposed method can guarantee stability and improve the transparency of the teleoperation system with time-delay.

关键词： bilateral teleoperation three-channel wave variable wave domain prediction time-delay

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Adaptive neural output feedback control for stochastic nonlinear systems with unknown control directions

Adaptive neural output feedback control for stochastic nonli...

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第三十二届中国控制会议

作者： Yu Zhaoxu Li Shugang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Industrial Engineering and Logistics Shanghai Jiao Tong University

ISBN: (纸本)9781479900305

This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control *** using a linear state transformation,the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes *** employing the inputdriven observer,a novel adaptive neural network(NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' *** proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded.

关键词： stochastic systems output-feedback neural network(NN) Nussbaum function backstepping

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PWM Digital control of Aeration in Wastewater Treatment process

PWM Digital Control of Aeration in Wastewater Treatment Proc...

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第25届中国控制与决策会议

作者： Wei Ding Linbo Xie Zhihai Wu Key Laboratory of Advanced Process Control for Light Industry （Ministry of Education） Jiangnan University

ISBN: (纸本)9781467355339

A pulse-width-modulation （PWM） digital controller design method in aeration control, which can reduce the energy costs of the control procedure, is proposed for wastewater treatment process based on the ASM1 model. First, an optimal linearization technique is applied to the aeration nonlinear system for finding a local optimal linear model, which has the same dynamics of the original nonlinear system at the operating point of interest. Then, a discrete-time optimal control law in pulse-amplitude-modulated （PAM） form is designed using LQR method. The PWM digital control law is then converted, using the digital redesign technique, from the corresponding PAM control law for the purpose of engineering realization. Last, simulation results demonstrate the effectiveness of the proposed method and the whole energy consumption is also computed. It has been shown that compared with the conventional multi-set point on/off control and on/off control method, the proposed method can save more energy than other approaches.

关键词： Wastewater treatment process PAM PWM Aeration control

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