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Robustness of controllability for Scale-free Networks Based on a Nonlinear Load-Capacity Model

IFAC-PapersOnLine 2016年第4期49卷 37-42页

作者： Fu, Yingbin Wang, Lei Chen, Michael Z.Q. School of Mathematics and Systems Science Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Key Laboratory of Control Engineering of Henan Province Henan Polytechnic University Henan454000 China Department of Mechanical Engineering University of Hong Kong 999077 Hong Kong

Based on a nonlinear load-capacity model, the network evolution and controllability evolution of scale-free networks under the cascading failures triggered by removing the highest-load edge are simulated and discussed in this paper. It is shown by numerical simulations that the controllability evolution is consistent with the average degree evolution rather than the power law exponent evolution. Under the same network cost, it is found that the nonlinear load-capacity model exhibits the stronger robustness of controllability when the initial power law exponent of networks is small by comparing with the linear load-capacity model, while the linear load-capacity model is of stronger robustness of controllability when the initial power law exponent is large. Numerical results shows that high-load edges are becoming more critical to the robustness of controllability with the increase of initial power law exponent, and the nearly highest-load edges are becoming more critical with the increase of both initial average degree and power law exponent. © 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： controllability Complex networks Average degree Cascading failures Linear loads Network costs Network evolution Nonlinear load Numerical results Power law exponent

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Stability analysis of concentrating solar power generation based on bifurcation theory

Stability analysis of concentrating solar power generation b...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Haiying Dong Yinhua Wei Kun Ding Ningbo Wang Lei Fang The School of New Energy and Power Engineering Lanzhou Jiaotong University Lanzhou China The School of National Engineering Lanzhou Jiaotong University Lanzhou China The Key Laboratory of Wind Power Integration Operation and Control Wind Power Technology Center Lanzhou China The School of Automation & Electrical Engineering Lanzhou Jiaotong University Lanzhou China

ISBN: (纸本)9781538614280

To research the influences of the excitation and steam valve on the stability and the number of equilibrium of electrical system of concentrating solar power(CSP) generation, the bifurcation phenomenon and its influence on the stability are analyzed by the basic principle of bifurcation theory. In this paper, the differential algebraic equations(DAE) for describing the dynamic characters of CSP generation was established firstly. Then, the influence of single parameter and double parameter on the grid stability and stability margin of CSP generation are analyzed in the infinite system by bifurcation theory taking respectively the excitation and valve opening as control parameters. On this basis, a static feedback controller is designed to further improve the system stability. The research results show that the number of equilibrium points and stability will change along with the excitation and steam valve. Stability margin will be increased gradually with the increase of excitation voltage and will be reduced gradually with the increase of steam valve. Moreover, the static feedback can delay bifurcations in a certain range. Thus, the above mentioned researches provide a theoretical basis of the stable operation control of CSP generation.

关键词： Bifurcation Power system stability Stability analysis Valves Mathematical model Jacobian matrices Power generation

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Nonlinear observability of grinding mill conditions

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IFAC-PapersOnLine 2016年第20期49卷 13-18页

作者： le Roux, J.D. Steinboeck, A. Kugi, A. Craig, I.K. Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa Automation and Control Institute Vienna University of Technology Gußhausstraße 27-29 Vienna1040 Austria Christian Doppler Laboratory for Model-Based Control in the Steel Industry Automation and Control Institute Vienna University of Technology Gußhausstraße 27-29 Vienna1040 Austria

A nonlinear observer model of a grinding mill is developed. The model distinguishes between the volumetric hold-up of water, solids, rocks and balls in the mill, where solids are all ore small enough to discharge through the end-discharge grate, and rocks are all ore too large to discharge. The model includes the discharge rate, abrasion rate of rocks and the abrasion rate of balls as parameters. It is shown that with mill discharge flow-rate, discharge density and volumetric hold-up measurements the model states and parameters are locally (weakly) nonlinearly observable, but not linearly observable. Although instrumentation at the mill discharge is not yet included in industrial circuits because of space restrictions, this study motivates the benefits to be gained from including instrumentation at the mill discharge. If mills are fitted with adequate measurement instrumentation at the discharge, important mill states and parameters can be estimated. © 2016

关键词： Ball mills Abrasion Comminution Flow rate Grinding (comminution) Grinding (machining) Grinding mills Observability Parameter estimation State estimation Abrasion rates Discharge density Discharge flow rates Discharge rates Industrial circuits Measurement instrumentation Non linear observer Nonlinear observability

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Research on model based design method of permanent magnet synchronous motor servo system based on FPGA

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Journal of Physics: Conference Series 2018年第1期1074卷

作者： Shimao Yu Tao Zhang Hualiang Zhang Peng Zeng Xiyou Chen Key Laboratory of Industrial Control Network and System Shenyang Institute of Automation Chinese Academy of Sciences. Shenyang China. School of electrical engineering Dalian University of Technology. Dalian China.

The ac servo system plays an increasingly important role in modern society. The ac servo drive technology based on FPGA becomes important research direction for its advantages of fast processing speed and flexible designing. A permanent magnet synchronous motor servo control system based on FPGA was model-based designed in this paper. It built three-closed-loop servo control model in Simulink which can simulate the performance of the algorithm, and it completed automatic code generation and configuration in Xilinx Zynq–7000. In addition, it built a complete set of permanent magnet synchronous motor servo control hardware platform. This paper proposes an integrated design and simulation method based on FPGA servo control to improve the efficiency of system design.

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A new algorithm for analyzing method of electrical faults of three-phase induction motors using duty ratios of half-period frequencies according to phase angle changes

Lecture Notes in Mechanical Engineering

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Lecture Notes in Mechanical engineering 2017年 303-317页

作者： Go, Youngjin Song, Myoung-Hyun Kim, Jun-Young Choi, Wangrim Lee, Buhm Kim, Kyoung-Min Department of Electrical Automation Suncheon JEIL College Deogwol-dong Suncheon-cityJeollanam-do Korea Republic of Department of Electric Control Engineering Sunchon National University Maegok-dong Suncheon-cityJeollanam-do Korea Republic of Department of Biomedical and Electronic Engineering Chonnam National University Dundeok-dong Yeosu-cityJeollanam-do Korea Republic of Department of Electrical and Semiconductor Engineering Chonnam National University Dundeok-dong Yeosu-cityJeollanam-do Korea Republic of

A stator fault of induction motor occurs due to the breakdown of insulation, meaning the stator is directly connected with the power supply, and the direct connection is a direct cause of a major accident. For this reason, many studies are being performed to detect the faults. As for the existing studies on stator fault detection, they are being performed considering the possibility of stator fault only, excluding the possibility of rotor fault. It is necessary to identify and detect whether a stator (or rotor) fault is the cause of the electrical fault. This paper suggested a new algorithm that identifies the causes of stator faults with the use of the change in the duty ratio of the half-period frequency of the frequency when a phase angle change occurs at that moment. Also, by applying the algorithm to the fault of the rotor, it was also possible to grasp their fault state and to identify accurately whether a stator (or rotor) fault is the cause of an electrical fault. © Springer International Publishing Switzerland 2017.

关键词： Stators

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Conflict between energy, stability and robustness in production schedules

Conflict between energy, stability and robustness in product...

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IEEE International Conference on automation Science and engineering (CASE)

作者： Nina Sundström Oskar Wigström Bengt Lennartson Nina Sundstrom Oskar Wigstrom Chalmers tekniska hogskola Goteborg SE Automation Research Group Division of Systems and Control Department of Electrical Engineering Chalmers University of Technology Horsalsvgen 9-11 plan 5-7 Gothenburg 412 96 Sweden

A systematic method to evaluate the conflict between robustness, stability and energy consumption is proposed in this paper. Energy optimization is combined with robust scheduling techniques to analyze the trade-off. In rescheduling, slack is often used to protect a schedule from disruptions. However, results from the literature on energy minimization show that a reduction in energy consumption is achieved by extending the execution time of operations. Thus, slack in schedules is diminished on behalf of longer execution times. The proposed method, which quantitatively shows this conflict, is based on a multi-objective optimization formulation where efficient computation of the involved criteria are developed. This includes a convex surrogate stability measure that makes it possible to evaluate different operation sequences by a mixed-integer nonlinear programming formulation. Previous work connecting the two research fields use simulation for analyzing the impact of disruptions in order to generate robust production schedules. Our results show that an increase in energy efficiency comes at a cost of reducing stability and robustness and hence becoming more sensitive to disruptions.

关键词： Schedules automation Stability criteria Robustness Production control systems

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Preserving data-privacy with added noises: Optimal estimation and privacy analysis

arXiv

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arXiv 2017年

作者： He, Jianping Cai, Lin Guan, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Dept. of Electrical & Computer Engineering University of Victoria BC Canada

Networked systems often relies on distributed algorithms to achieve a global computation goal with iterative local information exchanges between neighbor nodes. To preserve data privacy, a node may add a random noise to its original data for information exchange at each iteration. Nevertheless, a neighbor node can estimate other’s original data based on the information it received. The estimation accuracy and data privacy can be measured in terms of (ϵ, δ)-data-privacy, defined as the probability of ϵ-accurate estimation (the difference of an estimation and the original data is within ϵ) is no larger than δ (the disclosure probability). How to optimize the estimation and analyze data privacy is a critical and open issue. In this paper, a theoretical framework is developed to investigate how to optimize the estimation of neighbor’s original data using the local information received, named optimal distributed estimation. Then, we study the disclosure probability under the optimal estimation for data privacy analysis. We further apply the developed framework to analyze the data privacy of the privacy-preserving average consensus algorithm and identify the optimal noises for the algorithm. Copyright © 2017, The Authors. All rights reserved.

关键词： Iterative methods

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Distributed trajectory optimization for multiple solar-powered UAVs target tracking in urban environment by Adaptive Grasshopper Optimization Algorithm

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Aerospace Science and Technology 2017年 70卷 497-510页

作者： Jianfa Wu Honglun Wang Na Li Peng Yao Yu Huang Zikang Su Yue Yu School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Shenyuan Honors College of Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China College of Engineering Ocean University of China Qingdao 266100 China

Aiming at the trajectory optimization of the solar-powered UAVs (SUAVs) cooperative target tracking in urban environment, the distributed model predictive control (DMPC) method based on Adaptive Grasshopper Optimization Algorithm (AGOA) is proposed in this paper. Firstly, the cooperative target tracking problem in urban environment is modeled by formulating the SUAVs kinematic and target models, the urban environment constraints, solar power harvesting and consumption models for SUAV, and sight occlusions by constructions. Especially, the sight occlusions in urban environment for SUAV are taken into consideration for the first time in this paper. A judgment method of sight occlusions for SUAV is proposed to make the calculation of the energy index more precise. Second, based on the precise modeling, the DMPC method is adopted as the framework for trajectory optimization in real time. Third, AGOA, a novel intelligent algorithm to mimic the behaviors of grasshoppers, is proposed to be the DMPC solver. The proposed AGOA has a better searching ability than the traditional GOA and some other intelligent algorithms by introducing some improvement measures e.g. the natural selection strategy, the democratic decision-making mechanism, and the dynamic feedback mechanism based on the 1/5 Principle. Finally, the effectiveness of the proposed method is demonstrated by the simulations.

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Design and analysis of control system for VCSEL of atomic interference magnetometer 3

Design and analysis of control system for VCSEL of atomic in...

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3rd International Symposium on Monitoring, Early Warning, Removal Technology of Space Targets and Debris, the 4th International Conference on Frontiers in Optical Imaging Technology and Applications, and the 2nd International Symposium on Photoelectric Defense Technologies

作者： Zhang, Xiao-Nan Sun, Xiao-Jie Kou, Jun Yang, Feng Li, Jie Ren, Zhang Wei, Zong-Kang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Aerospace Control Instrument Beijing100039 China

ISBN: (数字)9781510607286

ISBN: (纸本)9781510607279

Magnetic field detection is an important means of deep space environment exploration. Benefit from simple structure and low power consumption, atomic interference magnetometer become one of the most potential detector payloads. Vertical Cavity Surface Emitting Laser (VCSEL) is usually used as a light source in atomic interference magnetometer and its frequency stability directly affects the stability and sensitivity of magnetometer. In this paper, closed-loop control strategy of VCSEL was designed and analysis, the controller parameters were selected and the feedback error algorithm was optimized as well. According to the results of experiments that were performed on the hardware-in-the-loop simulation platform, the designed closed-loop control system is reasonable and it is able to effectively improve the laser frequency stability during the actual work of the magnetometer. © 2016 SPIE.

关键词： Surface emitting lasers

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Enhanced pid vs model predictive control applied to bldc motor

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IOP Conference Series: Materials Science and engineering 2018年第1期303卷

作者： M.S Gaya Auwal Muhammad Rabiu Aliyu Abdulkadir S.N.S Salim I.S Madugu Aminu Tijjani Lukman Aminu Yusuf Ibrahim Dauda Umar M.T.M Khairi Dept of Electrical Engineering Kano University of Science & TechnologyWudilNigeria Dept of Physics Kano University of Science & Technology Wudil Dept of Industrial Automation & Robotic Universiti Teknikal Malaysia Melaka Malaysia Dept of Electrical Engineering Bayero University Kano Nigeria Dept of Control & Mechatronics Universiti Teknologi Malaysia Skudai Nigeria

BrushLess Direct Current (BLDC) motor is a multivariable and highly complex nonlinear system. Variation of internal parameter values with environment or reference signal increases the difficulty in controlling the BLDC effectively. Advanced control strategies (like model predictive control) often have to be integrated to satisfy the control desires. Enhancing or proper tuning of a conventional algorithm results in achieving the desired performance. This paper presents a performance comparison of Enhanced PID and Model Predictive control (MPC) applied to brushless direct current motor. The simulation results demonstrated that the PSO-PID is slightly better than the PID and MPC in tracking the trajectory of the reference signal. The proposed scheme could be useful algorithms for the system.

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