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Chinese control Conference (CCC)

作者： Yehong Li Yiming Fang Jianxiong Li Shengli Shi Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao Qinhuangdao China

For the problems of parameters change abruptly and input saturation of the rolling mill hydraulic servo systems, an adaptive backstepping control method based on multi-model switching is presented in this paper. Firstly, multiple models of the rolling mill hydraulic servo systems under different operating modes are established. Secondly, an auxiliary system is introduced to reduce the effects of input saturation, and the adaptive backstepping controllers are designed for all subsystem. With the help of common Lyapunov theory, the proposed method can guarantee stability of the multi-model switched system under arbitrary switching strategy. Finally, the simulation results demonstrate the effectiveness of the proposed control method.

关键词： Servomotors Switches Backstepping Adaptive systems Valves Actuators

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Jamming attack on Cyber-Physical Systems: A game-theoretic approach

Jamming attack on Cyber-Physical Systems: A game-theoretic a...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Yuzhe Li Ling Shi Peng Cheng Jiming Chen Daniel E. Quevedo Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong State Key Lab. of Industrial Control Technology Zhejiang University China School of Electronic Engineering and Computer Science University of Newcastle Australia

We consider security issues in Cyber-Physical Systems (CPSs). A sensor node communicates with a remote estimator through a wireless channel which may be jammed by an external attacker. With energy constraints for both the sensor and the attacker, the interactive decision making process of when to send and when to attack is studied. We formulate a game-theoretical framework and prove that the optimal strategies for both sides constitute a Nash equilibrium. The derivation of the optimal strategies for both sides is also provided with examples.

关键词： Games Nash equilibrium Tin Linear programming computer crime

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Tension control Study in the Finishing Mill of Aluminum Hot Rolling Mills based on PSO+CMAC

Tension Control Study in the Finishing Mill of Aluminum Hot ...

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2013 3rd International Conference on Advanced Measurement and Test(AMT 2013)

作者： YANG Jing-ming CHEN Li Wang Wan-hong CHE Hai-jun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of C.S.R Yanshan University Henan Mingtai Al.Industrial Co.Ltd of

Aimed at decreasing the tension variation during transforming process of "1+4" aluminum hot rolling mills unit in one factory of Henan,we analyzed the factors affecting tension variation and improved the tension formula of hot rolling mills process considering the influence of tension on forward slip *** tension forming process of hot rolling mills from stand 1 to stand 4 is simulated,and the tension structure diagrams of the four-stands are *** to nonlinear characteristics of the aluminum hot rolling mills tension system,conventional PID controller could not meet the requirement of the *** we proposed the mixed control of Cerebellar Model Articulation controller(CMAC)coupled with PID to solve the problem of online parameters control and we used Particle Swarm Optimization(PSO)algorithm to optimize PID controller *** simulation,it could be found that the using of PSO+CMAC significantly reduced surplus adjustment and transition time,and strip tension coupling degree among stands was also reduced.

关键词： aluminum hot rolling mills tension model tension influence coefficient PSO CMAC

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Network Cooperative Distributed Pricing control System for Large-Scale Optimal Charging of PHEVs/PEVs

Network Cooperative Distributed Pricing Control System for L...

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Annual Conference of the IEEE industrial Electronics Society

作者： Navid Rahbari-Asr Mo-Yuen Chow Zaiyue Yang Jiming Chen Advanced Diagnosis Automation and Control Laboratory of Electrical and Computer Engineering Department of North Carolina State University State Key Laboratory of Industrial Control Technology Zhejiang University

ISBN: (纸本)9781479902255

Efficient demand management policies at the grid side are required for large scale charging of Plug-in Hybrid Electric Vehicles and Plug-in Electric vehicles (PHEVs/PEVs). The SoC level and Charging Cost should be optimized while the aggregate load is kept under a safety limit to avoid overloads. Conventionally, optimal managing of the charging rates requires gathering and processing data in a center. However, as the scale of the problem increases to consider thousands of charging stations distributed over a vast geographical area, the central approach suffers from vulnerability to single node/link failures as well as scalability. This paper introduces a novel decentralized network cooperative approach for controlling the PHEV/PEV charging rates. In this approach, each charging station acts as a local retailer of energy, selling the power to the plugged in vehicle while coordinating the price with its neighbors. In response to the offered price, the Smart-Charger of the vehicle adjusts the charging current to maximize the utility of the PHEV/PEV user. By iteratively repeating this process, the convergence to the global optimum is attained without the requirement for any central unit. Robustness to single link/node failures is another advantage of our method.

关键词： PHEV/PEV Demand Management Decentralized control Distributed Optimization Cooperative Systems Consensus Networks Real-Time Pricing cooperative systems decentralised control CHARGING(ACCOUNTTNG) charging distribution substation optimal charging charged currents vehicle PLUGGING A-centres global optimum harvesting

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Consensus-based Cooperative Source Localization of Multi-agent Systems

Consensus-based Cooperative Source Localization of Multi-age...

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第三十二届中国控制会议

作者： Guofei Chai Zhiyun Lin Minyue Fu College of Electrical Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Zhejiang University School of Electrical Engineering and Computer Science University of Newcastle

ISBN: (纸本)9781479900305

This paper addresses cooperative source localization with a group of mobile agents, for which the goal is to estimate the coordinate of a stationary source for each agent in its own local frame. It is assumed that each agent can only have (possibly failure) range measurements about the source and some neighbors. Collaboration among agents is desired to overcome possible measurement failures and have unintermitted estimates in real time when some agents do not have direct range measurements about the source. The paper develops a continuous time estimation scheme and proposes a cooperative source localization approach for the problem. It is shown that the estimate of every agent is globally asymptotically convergent as long as there is a path from every agent to the source in the sensing graph. Simulation results are also presented to verify the effectiveness of the proposed algorithms.

关键词： Multi-agent system, Source Localization, Consensus

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The improved load balance adjustor of multi-motor driving system

The improved load balance adjustor of multi-motor driving sy...

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Chinese control Conference (CCC)

作者： Jing Ming Yang Bo Su Jin Lv Hai Jun Che Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China Tian Jin Design and Research Institute of Electric Drive Tianjin 300180 China

Multi-motor coaxial connected are used to drive large mechanical load motor drive system. Multi-motor driver's main advantage is can reduce the rotational inertia of the load, increase the rapidity of system, but followed by many motor driver control difficulty increase. Based on one tandem mill motor drive as the background, analyzes the series motor drive a rack rolling work mode, aiming at the load problem of this way of driving motor, design a new kind of load balance adjustor. Using load observer to get the actual load as the load balance adjustor's input, the new control method of quadratic performance indicators single neuron adaptive PID, and joined the feed forward compensation to inhibit speed fluctuations. The results show that, this method can substantially ensure the roll motor load balance, while having a good control effect.

关键词： Observers Neurons Motor drives MATlab Design methodology Channel hot electron injection Digital control

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Optimization of rolling schedules based on improved artificial fish swarm algorithm for aluminum strip hot rolling mills

Optimization of rolling schedules based on improved artifici...

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Chinese control Conference (CCC)

作者： Jing-ming Yang Shuang Xu Haijun Che Zhiwei Zhao National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Hebei Qinhuangdao 066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

The quality and yield of the products in the process of hot rolling is affected seriously by slipping phenomenon. In order to solve the phenomenon in aluminum hot rolling, on the basis of considering various factors which lead to slip, the concept of hot rolling slip factor is proposed, and a multi-objective function with equal power margin and preventing the slip phenomenon is established, and the improved artificial fish swarm algorithm is applied to optimize the reduction of first three stands. Adaptive step and improved move strategy are introduced into the proposed algorithm on the basis of basic fish swarm algorithm, which has better accuracy of optimization and faster convergence speed. The optimized schedule is applied to roll aluminum of 1050 in one hot rolling mill, and the performance is satisfied.

关键词： Marine animals Electronic mail Aluminum Optimization Schedules Strips Educational institutions

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Localizability and Distributed Localization of Sensor Networks using Relative Position Measurements

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IFAC Proceedings Volumes 2013年第13期46卷 1-6页

作者： Yingfei Diao Zhiyun Lin Minyue Fu Huanshui Zhang School of Control Science and Engineering Shandong University Jinan Shandong 250061 P. R. China State Key Laboratory of Industrial Control Technology College of Electrical Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 Australia. State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University 38 Zheda Road Hangzhou 310027 P. R. China

The paper introduces the localization problem of sensor networks using relative position measurements. It is assumed that relative positions are measured in local coordinate frames of individual sensors, for which different sensors may have different orientations of their local frames and the orientation errors with respect to the global coordinate frame are not known. A new necessary and sufficient condition is developed for localizability of such sensor networks that are modeled as directed graphs. That is, every sensor node should be 2-reachable from the anchor nodes. Moreover, for a localizable sensor network, a distributed, linear, and iterative scheme based on the graph Laplacian of the sensor network is developed to solve the coordinates of the sensor network in the global coordinate frame.

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Reliability Optimization of Multi-state Hydraulic System Based on T-S Fault Tree and Extended PSO Algorithm

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IFAC Proceedings Volumes 2013年第5期46卷 463-468页

作者： Chengyu Yao Bin Wang Dongning Chen Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China (Tel: ***) Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao China Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University) Ministry of Education of China Qinhuangdao China

In order to overcome the difficulty of constructing the multi-state system's reliability optimization model, and the shortage of premature convergence of PSO (Particle Swarm Optimization) algorithm, a new reliability optimization method based on T-S fault tree and EPSO (Extended PSO) algorithm is proposed. According to the T-S fault tree and T-S rules of the events, the multi-state system reliability optimization model is constructed, at the same time, given constraint conditions on the system cost, weight and volume, and combined with the death penalty to construct the fitness function. Furthermore, EPSO algorithm based on the attraction and repulsion forces in the artificial physics is applied to the reliability optimization of multi-state hydraulic system. Comparing with PSO algorithm, the results of EPSO algorithm are in a better performance in obtaining global optimal solution.

关键词： Hydraulic system Reliability optimization Multi-state T-S fault tree EPSO algorithm

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Reliability Prediction Method of Hydraulic System by Fuzzy Theory

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IFAC Proceedings Volumes 2013年第5期46卷 457-462页

作者： Dongning Chen Chengyu Yao Zhongkui Feng Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao China (Tel: ***) Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University) Ministry of Education of China Qinhuangdao China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

The hydraulic system's reliability is a key factor to ensure the reliable operation of equipment and it is very important to evaluate reliability of hydraulic system. The paper describes a reliability prediction method that may be used to evaluate the reliability of hydraulic systems for industrial applications. The proposed method takes advantage of fuzzy set theory. The aim of this method is to minimize the deficiencies of the traditional reliability prediction methods treating a failure rate as fixed value due to insufficiency practice data. Triangular fuzzy number and Gaussian fuzzy number are used in the application of this prediction method, where environmental factor, derating factor, and other factors are considered. Finally, an example of type crane's hydraulic system is given to verify the feasibility and practicability of the method.

关键词： Type crane Hydraulic system Reliability prediction Fuzzy theory Reliability logic diagram

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