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第三十四届中国控制会议

作者： XU Zhaoqing PEI Hailong College of Automation Science and Engineering Ministerial Key Laboratory of Autonomous System and Networked ControlSouth China University of Technology

ISBN: (纸本)9781467374439

In order to design the controller of cruise missile vibrating in flight, the longitudinal dynamic characteristics of the missile are analyzed in this paper. The intrinsic mode is calculated by using the software NASTRAN. The additional unsteady aerodynamics caused by vibration is investigated, and the longitudinal rigid perturbation motion equations are established according to the linear theory. The dynamic response of elastic vibration can be obtained after the additional unsteady aerodynamics loads are substituted to the equations as input of disturbance. The results can provide initial data for stability analysis, precision analysis, guidance and control system design. The output response shows that the longitudinal attitude variation caused by elastic vibration will be very small when the aerodynamic and structure stability are satisfied, and the elastic vibration will not influence flight stability, the adverse effects of vibration must be eliminated by the way of filtering or the other methods.

关键词： elastic missile controller unsteady aerodynamics dynamic characteristics

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A dynamic co-evolution compact genetic algorithm for E/T problem

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IFAC-PapersOnLine 2015年第28期48卷 1439-1443页

作者： Han, Zhonghua Zhu, Yihang Lin, Shuo Faculty of Information and Control Engineering Shenyang Jianzhu University Department of Digital Factory Shenyang Institute of Automation Key Laboratory of networked control system Shenyang China Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China

In this paper, a dynamic co-evolution compact genetic algorithm (DCCGA) is proposed for flexible flow shop scheduling problem (FFSP) to minimize the total earliness and tardiness (E/T) penalties. In this new algorithm, a dynamic co-evolution mechanism containing two probabilistic models and a best individual inheritance strategy are integrated into the compact genetic algorithm (CGA). For improving the stability of the evolutionary trend in the evolution processes, the diversity of evolution trend and the convergence speed. Lastly, the experimental results show that, DCCGA outperforms CGA by 11.74% on the problem we study. © 2015

关键词： Genetic algorithms Machine shop practice Co evolution Compact genetic algorithm Earliness tardiness Flexible flow shop Probabilistic models

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The design of transformer on-line monitoring system based on DSP 2nd

The design of transformer on-line monitoring system based on...

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2nd International Conference on Energy Science and Applied Technology, ESAT 2015

作者： Ding, Tengfei Yin, Chunyuan Cao, Yunxia Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Networked Control System CAS Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System CAS Shenyang China

ISBN: (纸本)9781138028333

The security of the power transformer operation directly affects the whole power system. Thus, this paper aims to design the system for "real-time" monitoring the parameters of the transformer based on the TMS320F28335 DSP designed by TI Company. First, the system makes use of different sensors’ signal acquisition. Then, the inconsistent analog signal can be converted into the standard signal for AD conversion through the analog signal photoelectric isolation amplifier. Finally, the DSP will process them, and the processed data will be transferred to the host computer for storage and display. The test results show that the system can monitor the equipment running status accurately, stably and timely. © 2016 Taylor & Francis Group, London.

关键词： Power transformers

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Detection of maize kernels breakage rate based on K-means clustering

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AIP Conference Proceedings 2017年第1期1834卷

作者： Liang Yang Zhuo Wang Lei Gao Xiaoping Bai 1Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang 110016 China 2Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China 3University of Chinese Academy of Sciences Beijing 100049 China

In order to optimize the recognition accuracy of maize kernels breakage detection and improve the detection efficiency of maize kernels breakage, this paper using computer vision technology and detecting of the maize kernels breakage based on K-means clustering algorithm. First, the collected RGB images are converted into Lab images, then the original images clarity evaluation are evaluated by the energy function of Sobel 8 gradient. Finally, the detection of maize kernels breakage using different pixel acquisition equipments and different shooting angles. In this paper, the broken maize kernels are identified by the color difference between integrity kernels and broken kernels. The original images clarity evaluation and different shooting angles are taken to verify that the clarity and shooting angles of the images have a direct influence on the feature extraction. The results show that K-means clustering algorithm can distinguish the broken maize kernels effectively.

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PID parameters optimization research for hydro turbine governor by an improved fuzzy particle swarm optimization algorithm

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Open Electrical and Electronic Engineering Journal 2016年 10卷 101-117页

作者： Chen, Gonggui Yangwei, Du Yanyan, Guo Shanwai, Huang Lilan, Liu Key Laboratory of Industrial Wireless Network and Networked Control of Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Research Center on Complex Power System Analysis and Control Chongqing University of Posts and Telecommunications Chongqing400065 China The Department of Locomotive and Vehicle Engineering Wuhan Railway Vocational College of Technology Wuhan430205 China

Parameter optimization of water turbine regulating system (WTRS) is decisive in providing support for the power quality and stability analysis of power system. In this paper, an improved fuzzy particle swarm optimization (IFPSO) algorithm is proposed and used to solve the optimization problem for WTRS under frequency and load disturbances conditions. The novel algorithm which is based on the standard particle swarm optimization (PSO) algorithm can speed up the convergence speed and improve convergence precision with combination of the fuzzy control thought and the crossover thought in genetic algorithm (GA). The fuzzy control is employed to get better dynamics of balance between global and local search capabilities, and the crossover operator is introduced to enhance the diversity of particles. Two different types of WTRS systems are built and analyzed in the simulation experiments. Furthermore, the sum of regulating time and another number that is the integral of sum for absolute value of system error and the squared governor output signal is considered as the fitness function of this algorithm. The simulation experiments for parameter optimization problem of WTRS system are carried out to confirm the validity and superiority of the proposed IFPSO, as compared to standard PSO, Ziegler Nichols (ZN) algorithm and fuzzy PID algorithm in terms of parameter optimization accuracy and convergence speed. The simulation results reveal that IFPSO significantly improves the dynamic performance of system under all of the running conditions. © Gonggui et al.

关键词： Fuzzy control

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Anomaly Detection Approach based on Function Code Traffic by Using CUSUM Algorithm

Anomaly Detection Approach based on Function Code Traffic by...

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2015 4th National Conference on Electrical,Electronics and Computer Engineering(NCEECE 2015)

作者： Ming Wan Wenli Shang Peng Zeng Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Chinese Academy of Sciences

ISBN: (纸本)9781510819085

There is an increasing consensus that it is necessary to resolve the security issues in today's industrial control system. From this point, this paper proposes an anomaly detection approach based on function code traffic to detect abnormal Modbus/TCP communication behaviors efficiently. Furthermore, this approach analyzes the Modbus/TCP communication packets in depth, and obtains the function code in each packet. According to the function code traffic change, this approach uses the Cumulative Sum(CUSUM) algorithm for change point detection, and generates an alarm. Our simulation results show that, the proposed approach is very available and effective to provide the security for industrial control system. Besides, we also discuss some advantages and drawbacks when using this approach.

关键词： Anomaly detection Modbus/TCP Function code traffic Cumulative sum

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Study on the Rudder control Law of Bank-to-turn Cruise Missile

Study on the Rudder Control Law of Bank-to-turn Cruise Missi...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： XU Zhaoqing Pei Hailong College of Automation Science and Engineering Ministerial Key Laboratory of Autonomous System and Networked Control South China University of Technology

The rudder control law of certain bank-to-turn cruise missile is studied in this paper. The yaw and roll aerodynamic force caused by grid rudder is analyzed, the aerodynamic force and aerodynamic moment with motion equations are linearized based on the small perturbation linear theory. The beginning state of the cruise is chose as the feature point, the values of dynamical coefficient are calculated, then the lateral perturbation equations are *** transfer functions of each attitude angle under the rudder deflection are obtained through solving the perturbation equations, and then the dynamic step responses of the grid rudder’s are obtained. The lateral rudder control law which can satisfy zero sideslip condition is derived through the dynamic responses, according this control law the missile can achieve bank-to-turn.

关键词： cruise missile bank-to-turn rudder control law

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Intelligent Setting control Method Based on CBR and iterative learning for Laminar Cooling Process

Intelligent Setting Control Method Based on CBR and iterativ...

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第26届中国过程控制会议（CPCC2015）

作者： Pian Jinxiang Zhu Yunlong Liu Jinxin Chai Tianyou Qi Aiwei School of Information and Control engineering Shenyang Jianzhu University Key Laboratory of Networked Control System Chinese Academy of Sciences State Key Laboratory of Integrated Automation for Process Industry Northeastern University

The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close loop control methods. But fortunately, there is the repeated characteristic in the laminar cooling process, which is very suited to apply the iterative learning between the strips. So, PI iterative learning method is proposed in this paper to learn the inner knowledge between the strips with similar working condition. On the other hand, in order to improve the control effect,CBR(case-based reasoning) technology is applied to adjust the parameters P and I according to the changing working conditions. The experiments are conducted with industrial operating data. The results show that, with the proposed method, it is effective to find the right operating point quickly and the strip coiling temperature can be controlled in the suitable range.

关键词： laminar cooling iterative learning CBR(case based reasoning) strip coiling temperature

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The Application of Digital Factory in domestic chemical industry

The Application of Digital Factory in domestic chemical indu...

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第27届中国控制与决策会议

作者： Hejian Ou Tao Zou The High-tech R&D Center The Ministry of Science & Technology Key Laboratory of Networked Control System Chinese Academy of Sciences

ISBN: (纸本)9781479970186

The business competition among chemical companies is more and more fiercely with the development of the *** output,cost,quality of the industrial products are attracting more *** factory(DF),based on the date of the whole product life cycle,is a new production organization which simulate the production cycle,evaluating and optimizing the whole production process in the computer virtual *** is also a combination of the modem digital manufacturing technology and the computer simulation technology that bridges the product design and *** a rising star of the Global *** this paper we introduced the features and key technologies of Digital Factory and established a Digital Factory plan according to domestic chemical *** also analyzed the problems that the Digital Factory confronted in chemical industry spreading.

关键词： Digital Factory chemical industry production and management methods key technology

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Research on the energy efficiency evaluation of aluminum reduction cell based on the fuzzy competition-cooperation DEA model

Research on the energy efficiency evaluation of aluminum red...

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第26届中国过程控制会议（CPCC2015）

作者： Kong Lei Wang Zhuo Li Jilong Zhao Li Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Chinese Academy of Sciences University of Chinese Academy of Sciences

As the traditional aluminum reduction cell energy efficiency analysis method is not comprehensive, this paper considers the impact of energy, materials and status of cells on the efficiency, and presents a new energy efficiency evaluation method of aluminum reduction cell based on the fuzzy competition-cooperation Data Envelopment Analysis cross-efficiency evaluation model. The paper first selects Al2O3 mass, Al F3 mass, anode movement, the average cell voltage and the cell age as the input indexes of the model, and the actual amount of molten aluminum as the output index;then in order to further explore the relationship among the decision making units, the fuzzy competition-cooperation DEA cross-efficiency evaluation model is proposed instead of the traditional DEA model;at last, the new model is adopted to evaluate the efficiency of the aluminum reduction cells with the real field data.

关键词： aluminum reduction cell efficiency evaluation Data Envelopment Analysis fuzzy clustering competition-cooperation

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