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Energy optimization analysis of internal thermally coupled air separation columns

Huagong Xuebao/CIESC Journal 2012年第9期63卷 2936-2940页

作者： Chang, Liang Liu, Xinggao State Key Laboratory of Industrial Control Technology Institute of Industrial Control Zhejiang University Hangzhou 310027 Zhejiang China

Internal thermally coupled distillation column(ITCDIC) is the most promising distillation energy-saving technology. It can save more than 40% energy compared with traditional distillation process, but so far it has not been widely used. The application of the ITCDIC technology in air separation column can bring a good energy saving effect. Based on the characteristic of cryogenic air separation process as well as three-component distillation, a new optimization model of internal thermally coupled air separation columns(ITCASC) is presented. Analysis of energy consumption is carried out detailed. Compared with the conventional air separation columns(CASC), compressor energy consumption decreases by 20.75%, the product value increases by 17.46% and energy consumption per unit of output decreases by 32.53%. The extraction rate and energy consumption of ITCASC are superior to conventional air separation columns. © All Rights Reserved.

关键词： Energy utilization

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Gallager's Error Exponent Analysis of STBC systems over η-μ Fading Channels

Gallager's Error Exponent Analysis of STBC Systems over η-...

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IEEE International Conference on Communications

作者： Jiayi Zhang Michail Matthaiou George K. Karagiannidis Zhenhui Tan Haibo Wang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Institute of Broadband Wireless Mobile Communications Beijing Jiaotong University Beijing China

The Gallager's random coding error exponent for space-time block codes (STBC) over multiple-input multiple-output (MIMO) block-fading channels, with Gaussian input distribution, is investigated. Gallager's error exponent can be used to determine the required codeword length to achieve a prescribed error probability at a given rate below the channel capacity. We first provide new, analytical expressions for Gallager's exponent of STBC systems over η-μ fading channels. The Shannon capacity and cutoff rate, which can be directly derived from Gallager's exponent, are further examined. In order to get additional insights, a high signal-to-noise ratio analysis is pursued to investigate the effects of coherence time and codeword length on the error probability. For the sake of completeness, we provide the link to previous known results on Rayleigh and Nakagami-m fading channels.

关键词： MIMO Channel coding Signal to noise ratio Error probability Rayleigh channels

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Multilinear model-based PI control of block-oriented nonlinear systems

Multilinear model-based PI control of block-oriented nonline...

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2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011

作者： Du, Jingjing Zhang, Xinliang Song, Chunyue School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781447124665

In order to overcome the drawbacks of the conventional nonlinearity inversion control method for block-oriented systems, a Multi-PI control method is proposed. The virtue of the proposed method is that the classic PI control algorithm is applied to complex nonlinear systems, which largely simplifies the control problems and improves control performances. Simulations demonstrate the effectiveness of the proposed Multi-PI control method for block-oriented systems with strong nonlinearity. © 2012 Springer-Verlag London Limited.

关键词： Nonlinear systems

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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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Adaptive observer design for a class of MIMO nonlinear systems

Adaptive observer design for a class of MIMO nonlinear syste...

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World Congress on Intelligent control and Automation (WCICA)

作者： Lili Zhao Xiuliang Li Ping Li State Key Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University 310027 China State Key Lab of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University 310027 China

For a class of uniformly observable nonlinear multi-input-multi-output (MIMO) systems with unknown parameters in both state and output equations, an adaptive observer is designed in a constructive manner based on the techniques of high gain observer and adaptive estimation. The high gain adaptive observer for joint state and unknown parameter estimation is conceptually simple. The new algorithm makes use of a time varying gain matrix for unknown parameter estimation, which simplifies the initialization and parameter tuning. In order to establish the global exponential convergence of the adaptive observer, a persistent excitation condition is required. Consequently, the global exponential convergence for simultaneous estimation of states and unknown parameters is formally established following a simple procedure. A numerical example is presented to illustrate the performance of this adaptive observer.

关键词： Equations Observers Adaptive systems Nonlinear systems Symmetric matrices Parameter estimation Mathematical model

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A comparative study of model plant mismatch measures for process monitoring

A comparative study of model plant mismatch measures for pro...

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第23届过程控制会议

作者： Hong Wang Lei Xie Zhihuan Song State Key Laboratory of Industrial Control Technology Institute ofIndustrial Process Control Zheji Institute of Cyber-Systems and Control Zhejiang UniversityHangzhou 310027 Zhejiang China

Model is usually necessary for the design of a control loop. Due to *** and unknown dynamics, model plant mismatch is inevitable in the control loop. In process monitoring, detection of the mismatch and evaluation of its *** are both demanded. In this paper we .rstly present several mismatch measures based on *** model descriptions. Then we categorize them into *** groups from *** perspectives and compare their potential in detection and diagnosis. A case study on a mixing process is presented and some remarks on related aspects are given.

关键词： model plant mismatch process monitoring control loop behavior

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Extremal optimization for unit commitment problem for power systems

Extremal optimization for unit commitment problem for power ...

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IEEE General Meeting Power& Energy Society

作者： Jin Ding Yong-Zai Lu Jian Chu State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control University of Zhejiang Hangzhou China

This paper introduces extremal optimization (EO) method to solve unit commitment problem for power systems. EO is a local-search heuristic algorithm and originally developed from the fundamentals of statistical physics. In the implementation of EO for unit commitment (UC) problem, a novel problem-specific mutation operator is introduced and rule-based heuristic constraint-repairing techniques are devised. Simulation results on power systems which are composed of up to 100-units over a scheduling horizon of 24-hours demonstrate competitive performance with EO method compared with other existing methods for UC problem.

关键词： Spinning Indexes Power systems Fuels Cost function Power generation

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A Model of Collision-Detection for Maxillofacial Multi-arm Surgery Robot

A Model of Collision-Detection for Maxillofacial Multi-arm S...

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IEEE International Conference on Automation and Logistics (ICAL)

作者： Zhu, Xiang-yu Duan, Xing-guang Chen, Chao Liu, Tian-bo Guo, Qing-bo Intelligent Robotics Institute State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian 100081 China

ISBN: (纸本)9781467303644

A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is necessary for protecting the patient and preventing the quality of the surgery. This paper presents the development of a collision and self-collision-detection scheme, for Maxillofacial Multi-arm Surgery Robot. The method is based on modeling the arm of Multi-arm robot and the obstacle in surgery environment by simple geometric primitives (cylinders and spheres). Methods of detecting collision about the cylinders and the spheres are introduced. By resorting to the pose of cylinder or sphere which presents in the workspace, many different types of collisions are introduced. The performance of the collision-avoidance scheme is demonstrated with Multi-arm robot via experiments.

关键词： Multi-arm robot Collision Avoidance Geometric Primitives Collision Detection

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Experimental Research on the Ultrasound-guided Positioning System of Microwave Ablation Surgical Robot

Experimental Research on the Ultrasound-guided Positioning S...

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IEEE International Conference on Automation and Logistics (ICAL)

作者： Duan, Xing-guang Guo, Qing-bo Liu, Tian-bo Zhu, Xiang-yu Chen, Chao Yang, Yang Intelligent Robotics Institute State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian 100081 China

ISBN: (纸本)9781467303644

Combined with modern imaging techniques and minimally invasive treatment techniques, microwave ablation surgeries have become one of the most effective methods in the modern comprehensive treatment of cancer. To solve the problems exist in traditional surgeries, microwave ablation surgical robot has been successfully developed. At first, this paper briefly introduces the robot auxiliary treatment process. Then analyzes the ultrasound-guided positioning system in detail. At last, the paper focuses on experimental research process such as robot localization experiment and precision experiment. The experimental results will verify the effectiveness of the robot system and the accuracy of the treatment. Meanwhile, the problems exist in the system are discussed and he future research direction is demonstrated.

关键词： Surgical Robot Ultrasound-guided localization system Microwave Ablation

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Hysteretic optimization for the capacitated vehicle routing problem

Hysteretic optimization for the capacitated vehicle routing ...

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IEEE International Conference on Networking, Sensing and control

作者： Xiaobo Yan Weimin Wu Zhejiang University Hangzhou Zhejiang CN State Key Laboratory of Industrial Control Technology& Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Hysteretic optimization (HO) is a recently proposed heuristic physical optimization algorithm based on the well-known demagnetization process of magnetic materials in magnetism. The Capacitated Vehicle Routing Problem (CVRP) is an important variant of the vehicle routing problem which is one of the most important and intensively studied combinatorial optimization problems. In this study, we apply HO to the Capacitated Vehicle Routing Problem (CVRP), by generalizing the external field and endowing the configuration space with a proper distance. The experimental results with benchmark problems show the proposed method is competitive with other popular algorithms, such as particle swarm optimization, genetic algorithms.

关键词： Optimization Vehicles Routing Heuristic algorithms Demagnetization Magnetic hysteresis Benchmark testing

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