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Communications in Computer and Information Science 2013年 355卷 294-302页

作者： Cui, Zhe Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China

Being a typical NP-hard combinatorial optimization problem, the hybrid flow shop (HFS) problem widely exists in manufacturing systems. In this paper, we firstly establish the model of the HFS problem by employing the vector representation. Then an improved discrete artificial bee colony (IDABC) algorithm is proposed for this problem to minimize the makespan. In the IDABC algorithm, a novel differential evolution and a modified variable neighborhood search are studied to generating new solutions for the employed and onlooker bees. The destruction and construction procedures are utilized to obtain solutions for the scout bees. The simulation results clearly imply that the proposed IDABC algorithm is highly effective and efficient as compared to six state-of-the-art algorithms on the same benchmark instances. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Manufacture

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Analysis and modeling of GTAW weld pool geometry

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 284-293页

作者： Wang, XueWu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 200237 Shanghai China

A three dimensional vision sensing system was used to mimic the human vision system to observe the three-dimensional weld pool surface in pipe Gas Tungsten Arc Welding (GTAW) process. Novel characteristic parameters containing information about the penetration state specified by its back-side weld pool width and height were proposed based on the reconstructed three dimensional weld pool surfaces. In order to obtain the penetration status in real time conveniently, a neural network model was established to estimate the penetration based on the proposed characteristic parameters. It was found that the top-side characteristic parameters proposed can reflect the back-side weld pool parameters accurately and the neural network is capable of predicting the penetration status in real time by observing the three-dimensional weld pool surface which is beneficial for penetration control of GTAW process. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Gas metal arc welding

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Optimal operation for 3 control parameters of Texaco coal-water slurry gasifier with MO-3LM-CDE algorithms

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 382-391页

作者： Cao, Cuiwen Zhang, Yakun Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 200237 Shanghai China

Optimizing operation parameters for Texaco coal-water slurry gasifier with the consideration of multiple objectives is a complicated nonlinear constrained problem concerning 3 BP neural networks. In this paper, multiobjective 3-layer mixed cultural differential evolution (MO-3LM-CDE) algorithms which comprise of 4 multi-objective strategies and a 3LM-CDE algorithm are firstly presented. Then they are tested in 6 benchmark functions. Finally, the MO-3LM-CDE algorithms are applied to optimize 3 control parameters of the Texaco coal-water slurry gasifier in methanol production of a real-world chemical plant. The simulation results show that multi-objective optimal results are better than the respective single-objective optimal operations. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Constrained optimization

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Research on zero-wait scheduling problems in multiproduct processes with due dates

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 322-332页

作者： Xu, Zhenhao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Production scheduling is an important aspect of batch process operations to achieve high productivity and operability. In this paper, we considered a zero-wait multiproduct scheduling with due dates under uncertainty, where the total weighted earliness/tardiness penalty is to be minimized. The imprecise processing time is expressed with the triangle fuzzy variable and the model has been established based on fuzzy cut-set theory. A new improved shuffled frog-leaping algorithm (ISFLA) is introduced to search optimal objective for the given problem, which has a new updating rule in memeplexes. In order to enhance the ability to search the global optimum, the strategy of Forced Moving of the worst frog in each sub-memeplex is proposed to increase the diversity. Simulated results demonstrate that ISFLA has outperformed the conventional SFLA, which is effective and robust in solving the zero-wait scheduling with due-date window. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Scheduling

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A Synthesis Approach to Predictive control for Networked control Systems

A Synthesis Approach to Predictive Control for Networked Con...

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第三十三届中国控制会议

作者： Yuanyuan Zou James Lam Yugang Niu Dewei Li Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology Department of Mechanical Engineering The University of Hong Kong Department of Automation Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction.

关键词： Predictive control,Networked control Systems,Stability

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Co-simulation research of autonomous landing control system

Co-simulation research of autonomous landing control system

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Chinese control Conference (CCC)

作者： Zhaoning Wang Shengxi Wu Xiangming Dun Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai Shanghai CN Research Institute of Robotics Shanghai Jiao Tong University Shanghai CN

In this paper, a control simulation of the autonomous landing process of a Vertical Take-Off and Landing (VTVL) Reusable Launch Vehicle (RLV) is proposed and we consider the effects of the inner liquid propellant sloshing, elastic vibration, disturbance force, disturbance torque and other complex conditions in the virtual RLV model. On the basis of dynamics modeling of the RLV, we analyzed RLV's landing process. The landing control system was designed under certain conditions. Co-simulation Research was achieved by ADAMS and MATLAB/Simulink. The simulation results show that the control system performs well.

关键词： Force control systems Data models Mathematical model Attitude control Angular velocity Equations

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Online optimization for the multi-objective operation of electric multiple units based speed limits curve

Online optimization for the multi-objective operation of ele...

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World Congress on Intelligent control and Automation (WCICA)

作者： Hui Yang Hong-En Liu Ya-Ting Fu Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang Jiangxi China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang Jiangxi China

The electric multiple units (EMU) provide a transport service in the dynamical running environment, which should meet the requirements of safety, punctuality, precise train stopping, energy conservation and comfort simultaneously. However, since pervious manual operation method of EMU is mainly based on a given V-S curve (velocity versus position curve) and drivers' experience, it cannot meet the multi-objective operation requirements in real time. In order to improve the operation strategy, this paper develops a multi-objective online optimization model for the EMU operation based on speed limit curve. Then, we optimize the operation strategy using a modified multi-objective particle swarm optimization algorithm on line, so as to obtain the Pareto optimal solution set. Further, based on the delay state of EMU running process, we pick out the optimal operation strategy from the Pareto set. Finally, the running process of the EMU operated on the optimal operation strategy can satisfy the multi-objective requirements. And the experimental results on the field data of CRH380AL (China railway high-speed EMU type-380AL) running process show the real time effectiveness of the proposed approach.

关键词： optimization Indexes Delays Safety Real-time systems Force Resistance

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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 Measure Method of Component Content Based on Color Features in Pr/Nd Extraction Process

A Measure Method of Component Content Based on Color Feature...

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第25届中国过程控制会议

作者： Lu Rongxiu Yang Hui School of Electrical Mechanical & Electrical Engineering Nanchang University School of Electrical and Electronic Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province

Measurement of the component content has been a challenging task in praseodymium/neodymium(Pr/Nd)*** on the ion color features model,an adaptive prediction method is proposed to measure the component content ***,the feature extraction for video image of the mixed solution of extraction process is conducted in HSI color ***,we build a least squares support vector machine(LSSVM)measure model of component content based on H/S features,and the model parameters are determined with the genetic *** improve the measure accuracy in the extraction process,an adaptive iterative correction method for the color features model is *** experiment results on the field data show that correction rate of the proposed method is fast while the measure precision has been obviously ***,it is quite appropriate for the measure of component content for a rare earth extraction process which has ion color features.

关键词： Pr/Nd extraction Color features Component content Adaptive iterative learning Least Square Support Vector Machine Online correction

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Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm optimization

Separation model of Generalized Reference Curve Measurement ...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Lizhi Cui Josiah Poon Simon K. Poon Paul Kwan Junbin Gao Zhihao Ling School of Information Technologies The University of Sydney School of Science and Technology University of New England School of Computing and Mathematics Charles Sturt University Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781479956708

In order to separate the chromatogram peaks and spectra from the High Performance Liquid Chromatography with Diode Array Detector (HPLC-DAD) data set, a separation model of Generalized Reference Curve Measurement and its solution by multi-target Bare Bones Particle Swarm optimization (GRCMmBBPSO) is proposed in this paper. Firstly, parameters are constructed which will generate Reference Curves (RCs) for chromatogram peaks. Secondly, the GRCM model is proposed to transform all these parameters to scalar values, which indicate the possibility for the HPLC-DAD data set containing chromatogram peaks similar to the RCs constructed by corresponding parameters. Then, the algorithm of mBBPSO is introduced to calculate the optimal parameters by minimizing the scalar values. Finally, the spectra are estimated. Through simulations and experiments, following conclusions are drawn: (1) the GRCMmBBPSO method can extract chromatogram peaks from the simulation data set without knowing the number of the compounds in advance even when a severe overlap and white noise exist;(2) the GRCMmBBPSO method can be applied to real HPLC-DAD data set.

关键词： HPLC-DAD separation Generalized Reference Curve Measurement model Multi-target Bare Bones PSO algorithm

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