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2018 International Conference on Advanced control, automation and Artificial Intelligence (ACAAI2018)

作者： Xin Jin Tao Zhang Hualiang Zhang Peng Zeng Anna Wang College of Information Science and Engineering Northeastern University Key Laboratory of Industrial Control Network and System Shenyang Institute of AutomationChinese Academy of Sciences

The increasing demands of modern industry for motor control make the software more and more complex. The simulation platform and the hardware test platform in traditional control system of permanent magnet synchronous motor(PMSM) are often independent of each other. This paper aims to simplify the PMSM control system design and testing process. With the model-based design(MBD) method, it completes PMSM vector control from simple to complex and from the specific to the general. It builds control algorithm model by Simulink. With TMS320 F28335 as the control chip, it completes the automatic generation of algorithm code through C2000 Support Package. In addition, it utilizes Code Composer Studio(CCS) to automatically compile and download the codes to the target control board, thus achieving the organic combination of simulation and hardware testing.

关键词： permanent magnet synchronous motor model based designed hardware in loop

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Sparse Least Square Support Vector Machines based on Random Entropy 36

Sparse Least Square Support Vector Machines based on Random ...

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第36届中国控制会议

作者： Wenlu Ma Han Liu Faculty of Automation and Information Engineering Xi'an University of Technology Shaanxi Key Lab. of Complex System Control and Intelligent Information Processing Faculty of Automation and Information EngineeringXi’an University of Technology

ISBN: (纸本)9781538629185

Least squares support vector machines(LSSVM) has a good performance in small data samples, but can't solve the large-scale sample problems. In this paper, large data set sparse least squares support vector machines model based on stochastic entropy is proposed, and it can be applied to large-scale data samples. Firstly, the large-scale data set is divided into several subsets. Then the entropy method is used to the sparse samples in each subset. Finally, we use sparse samples sets as training samples, and use least squares support vector machine algorithm to train. The results show that the sparse least squares support vector machine model based on entropy can effectively solve the problem of large-scale data.

关键词： Sparsity LSSVM Large-scale data Random Entropy

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Enhanced Moth-flame Optimization Based on Cultural Learning and Gaussian Mutation

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Journal of Bionic engineering 2018年第4期15卷 751-763页

作者： Liwu Xu Yuanzheng Li Kaicheng Li Gooi Hoay Beng Zhiqiang Jiang Chao Wang Nian Liu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical Engineering and Electronics Huazhong University of Science and Technology Wuhan 430074 China School of Automation Ministry of Education Key Laboratory of lmage Processing and Intelligence Control Huazhong University of Science and Technology Wuhan 430074 China Nanyang Technological University Singapore 639798 Singapore School of Hydropower and lnformation Engineering Huazhong University of Science and Technology Wuhan 430074 China China Institute of Water Resources and Hydropower Research Beijing 100038 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beij'ing 102206 China

This paper presents an Enhanced Moth-Flame Optimization （EMFO） technique based on Cultural Learning （CL） and Gaussian Mutation （GM）. The mechanism of CL and the operator of GM are incorporated to the original algorithm of Moth-Flame Optimization （MFO）. CL plays an important role in the inheritance of historical experiences and stimulates moths to obtain information from flames more effectively, which helps MFO enhance its searching ability. Furthermore, in order to overcome the disadvantage of trapping into local optima, the operator of GM is introduced to MFO. This operator acts on the best flame in order to generate several variant ones, which can increase the diversity. The proposed algorithm of EMFO has been comprehensively evaluated on 13 benchmark functions, in comparison with MFO. Simulation results verify that EMFO shows a significant improvement on MFO, in terms of solution quality and algorithmic reliability.

关键词： bioinspired computing moth-flame optimization cultural learning Gaussian mutation benchmark functions

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Secure web access control algorithm

arXiv

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arXiv 2018年

作者： Ioan, Filip Iosif, Szeidert Cristian, Vasar Department of Control System Engineering "politehnica" University of Timisoara Faculty of Automation and Computers Bv. V. Parvan No.2 Timisoara300223

The paper presents a flexible and efficient method to secure the access to a Web site implemented in PHP script language. The algorithm is based on the PHP's session mechanism. The proposed method is a general one and offers the possibility to implement a PHP based secured access to a Web site, through a portal page and using an additional script included in any site's page, which is required to be accessed only by registered users. This paper presents the design, implementation and integration of the algorithm on any generic WEB site. Copyright © 2018, The Authors. All rights reserved.

关键词： Websites

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Simulation of U-shaped Eddy-Current Converter of Transformer Type for Defective Monitoring in Ferromagnetic Samples

Simulation of U-shaped Eddy-Current Converter of Transformer...

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International Conference on Computational Problems of Electrical engineering (CPEE)

作者： Dmitro Trushakov Oleksandr Kozlovskyi Serhiy Rendzinyak Department of Automation and Control in Technical Systems Central Ukrainian National Technical University Kropyvnytskyi CNTU Ukraine Institute of Power Engineering and Control System Lviv Polytechnic National University Lviv Ukraine

The results of theoretical researches of construction of a eddy-current defectoscope with a coupled measuring oscillatory circuit with a transformer coupling for the quality monitoring of welding seams of metal products are presented. This device can be used in eddy-current (electromagnetic) defectoscopy for automatic and manual control of metal products in cases where it is difficult to fix the gap between the laying-in eddy-current converter (inductance coil), which contains the measuring oscillatory circuit, and the controlled surface of the ferromagnetic product. The main advantages of using coupling oscillatory circuits in the construction of resonance eddy-current defectoscopes are presented.

关键词： Couplings Magnetic flux Magnetic cores Pollution measurement RLC circuits Resonant frequency Generators

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Event-Trigger Extended Kalman Filter Design for Distributed Generation Network with Limited Communication 36

Event-Trigger Extended Kalman Filter Design for Distributed ...

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第36届中国控制会议

作者： Xing Xin Luyu Li Sen Li Zhen Li Jian Li Zhen Chen Xiangdong Liu Beijing Institute of Electronic System Engineering School of Automation & Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781538629185

For distributed generation(DG) network, it is important to estimate the real-time states. The information-centric networking(ICN) is established to take charge of the communication of DG network. However, the assumption of ideal communication between sensors and the estimation center cannot be guaranteed due to the communication constraints of ICN with the increasing DG network. A conventional algorithm, which reduces the communication burden in ICN, is to drop the observation of each smart grid in a random way. However, the accuracy of this algorithm recession decays rapidly with the increasing drop rate. To guarantee an appropriate estimation accuracy when the drop rate increases, this paper introduces the event-trigger strategy into the estimation algorithm. An event-trigger extended kalman filter(ET-EKF) is established in this paper to adapt the nonlinearity of DG system. ET-EKF reduces the communication burden and achieves an appropriate estimation accuracy at the same time. Finally, its feasibility and performance are demonstrated using the standard IEEE 39-bus system with phasor measurement units(PMUs).

关键词： Event-trigger extended Kalman filter(ET-EKF) real-time estimation distributed generation network smart grids phasor measurement unit(PMU)

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Electrical energy prediction study case based on neural networks

arXiv

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arXiv 2018年

作者： Vasar, Cristian Prostean, Octavian Filip, Ioan Szeidert, Iosif Department of Control System Engineering "Politehnica" University of Timisoara Faculty of Automation and Computers Bv. V. Parvan No.2 Timisoara1900 Romania

This paper presents some considerations regarding the prediction of the electrical energy consumption. It is well known that the central element of a microeconomic analysis is represented by the economical agents actions, actions that follow their own interest such as: the consumer – maximization of his satisfaction, the producer – maximization of his profit. The study case is focused on the prediction of the sold energy in Banat region. The goal of this study case is to optimize the electrical energy quantity purchased from the producer by the energy distributor in Banat region. The prediction is based on neural networks. There are used feed-forward and Elman type neural networks. In order to enhance the prediction accuracy there have been used both linear and nonlinear preprocessing units. The aspects considered in this paper can be extrapolated in any general case of prediction-based application, not only in the already stated case of electrical energy. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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Construction of Three-dimensional Simulation Platform for Linear Inverted Pendulum Base on Model

Construction of Three-dimensional Simulation Platform for Li...

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2018 International Conference on Modeling, Simulation and Optimization(MSO 2018)

作者： Tao ZHANG Xi-you CHEN Guang-hui LIU Hua-liang ZHANG Peng ZENG Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Key Laboratory of Industrial Control Network and System Shenyang Institute of AutomationChinese Academy of Sciences

The simulation platform and physical equipment in traditional control system of inverted pendulum are often independent of each other. Researchers are more likely to use Simulink for inverted pendulum simulation. The physical model is simplified, and the curves of the simulation result are correct as well. In this paper, a more practical nonlinear model of inverted pendulum is established. The model and control algorithm code are generated automatically based on embedded equipment, and experimental curves can be displayed in real time in a three-dimensional scene.

关键词： Linear inverted pendulum Code automatically generated Open Scene Graph(OSG)

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Actuator-Fault-Tolerant Trajectory Tracking control for Multi-Robot system under Directed Network Topologies and Communication Delays 36

Actuator-Fault-Tolerant Trajectory Tracking Control for Mult...

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第36届中国控制会议

作者： Zhe Liu Junguo Lu Hesheng Wang Weidong Chen Yun-Hui Liu Department of Mechanical and Automation Engineering Chinese University of Hong Kong Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781538629185

The synchronized trajectory tracking control problem of multiple mobile robots under actuator faults is studied in this *** take the communication delays into consideration in system design and do not require that the network topology is symmetric.A distributed control design approach is proposed by incorporating the synchronized formation control method and a sufficient condition is obtained to guarantee the asymptotic convergence of both the position error and synchronization error of each *** results validate that the proposed approach achieves synchronized trajectory tracking tasks under unidirectional topologies with actuator faults and coupling delays.

关键词： Actuator Faults Communication Delays Multi-robot Network Synchronized Trajectory Tracking

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Sliding Mode control of Servo Motor Based on Novel Reaching Law

Sliding Mode Control of Servo Motor Based on Novel Reaching ...

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第37届中国控制会议

作者： Xin Jin Anna Wang Dazhi Wang Tao Zhang College of Information Science and Engineering Northeastern University Key Laboratory of Industrial Control Network and System Shenyang Institute of AutomationChinese Academy of Sciences School of electrical engineering Dalian University of Technology

A new type of exponential rate is proposed, in order to improve the dynamic quality of servo motor speed control system. The reaching law relates the approach speed to the change of the system state quantity, which overcomes the shortcomings of the conventional exponential approach rate. The inherent buffeting problem of the sliding mode is effectively suppressed. The reaching law is applied to the servo motor speed control system, and a sliding mode variable structure speed controller based on a novel exponential reaching law is designed to replace the traditional PI regulator. Simulations and experiments show that the speed controller is robust to system parameters uncertainties, external disturbances and noise, and it can effectively improve the dynamic and static characteristics of the system. This makes the servo motor can be better applied to the robot servo system.

关键词： Robot Servo system Novel Reaching Law Sliding Mode control PI control

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