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Reliable Code Generation and Test Environment demonstrated on a PI-controller Design

IFAC-PapersOnLine 2016年第3期49卷 465-470页

作者： Schwarz, M.H. Sheng, H. Üstoglu, I. Chabaan, W. Börcsök, J. Safety Computer Technology University of Kassel Germany Control and Automation Engineering Department Yildiz Technical University Istanbul Turkey Computer Architecture and System Programming University of Kassel Germany

This paper focuses on the latest version of a tool developed within the department to guide developer through the various steps of requirements, test-procedures and documentations to finally download the derived algorithm on a safety programmable logic controller (PLC). Requirements on how to develop and how to test software are steadily increasing due to international standards, which have to be obeyed in industries in general, and in the process- and automation industries in particular. A simple model is derived to be used to develop a PI controller that has to pass several steps to be qualified for execution on a PLC. The paper explains the different steps and describes the various problems that might occur. © 2016

关键词： controllers Accident prevention Reliability Software testing Automated code generation automation industry International standards P i controller designs PI control Programmable Logic controller (PLC) Simple modeling Test Environment

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Factors influencing message dissemination through social media

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Physical Review E 2018年第6期97卷 062306-062306页

作者： Zeyu Zheng Huancheng Yang Yang Fu Dianzheng Fu Boris Podobnik H. Eugene Stanley Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Key Laboratory of Network Control System Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China Luxembourg School of Business Luxembourg L-2453 EU Faculty of Information Studies SI-8000 Novo Mesto Slovenia EU Faculty of Civil Engineering University of Rijeka 51000 Rijeka Croatia EU Zagreb School of Economics and Management 10000 Zagreb Croatia EU Center for Polymer Studies Boston University Boston Massachusetts 02215 USA

Online social networks strongly impact our daily lives. An internet user (a “Netizen”) wants messages to be efficiently disseminated. The susceptible-infected-recovered (SIR) dissemination model is the traditional tool for exploring the spreading mechanism of information diffusion. We here test our SIR-based dissemination model on open and real-world data collected from Twitter. We locate and identify phase transitions in the message dissemination process. We find that message content is a stronger factor than the popularity of the sender. We also find that the probability that a message will be forwarded has a threshold that affects its ability to spread, and when the probability is above the threshold the message quickly achieves mass dissemination.

关键词： Dynamics of networks Network phase transitions Network structure

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Automatic carrier landing system based on active disturbance rejection control with a novel parameters optimizer

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Aerospace Science and Technology 2017年 69卷 149-160页

作者： Yue Yu Honglun Wang Na Li Zikang Su Jianfa Wu School of Automation Science and Electrical Engineering 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

This paper proposes an active disturbance rejection control (ADRC) scheme for automatic carrier landing system (ACLS) in final approach. To track desired touchdown point (DTP) altitude in the presence of carrier air wake turbulence and deck motion, based on the estimation and compensation of internal dynamics and external disturbances by extended state observer (ESO), outer-loop altitude controller and inner-loop attitude controllers are designed via ADRC. Moreover, tracking differentiator-based deck motion compensation (TD-DMC) is designed to eliminate the inherent phase lag in ACLS. In addition, controller parameters are optimized via a novel Levy flight based whale optimization algorithm (LWOA). Finally, comparative simulations demonstrate that the proposed ADRC-based ACLS has better tracking performance and robustness compared to conventional ACLS.

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Modelling Transcriptional Regulation with Fractional Order Differential Equation using Gaussian Process 35

Modelling Transcriptional Regulation with Fractional Order D...

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第35届中国控制会议

作者： JI Ruirui ZHANG Xinxin YAN Xiaomei School of Automation and Information Engineering Xi'an University of Technology Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

A reasonable math model is fundamental to describing gene regulatory mechanism.A new method is proposed to model transcriptional regulation with transcription factor from gene expression profiles using fractional order differential *** Process is employed as a tool to model the latent transcription factor activity and particle swarm optimization algorithm is utilized to optimize the fractional order,kinetic parameters in the model and hyperparameters in kernel *** results of the experiment on real gene expression profiles indicate that the fractional order differential equation fits data better,also the proposed approach is feasible to model transcriptional regulation.

关键词： Transcriptional regulation Fractional order differential equation Gaussian Process Particle swarm optimization

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Non-parametric modeling of double-link flexible robot manipulator based on NNARX model structure 19th

Non-parametric modeling of double-link flexible robot manipu...

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19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2016

作者： Jamali, Annisa Mat Darus, Intan Zaurah Abdulhussain, Ali Tokhi, M.O. Automation and Control Laboratory Faculty of Mechanical Engineering Universiti Teknologi Malaysia SkudaiJohor81300 Malaysia Department of Automatic Control and System Engineering University of Sheffield United Kingdom

ISBN: (纸本)9789813149120

The double-link flexible robot manipulator (DLFR) is a highly non-linear system. The development of existing linear models involves a lot of assumptions and approximations in order to reduce the complex calculation. Due to that, this paper presents a non-linear Auto Regressive model with eXogenous inputs (NARX) for DLFR and neural network is used to predict the non-linear segment. Thus, NNARX structure is used to develop four separate model of double link flexible manipulator from torque input to hub angle and from torque input to end point accelerations of each link. The performance of NNARX models are validated via One Step Ahead, Mean Squared Error and correlation tests. © 2016, World Scientific Publishing Co. Pte Ltd. All rights reserved.

关键词： Flexible manipulators

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On-line Monitoring for Coal Low Heating Value in Coal-fired Power Plant Boiler Based on CM-LSSVM-PLS 35

On-line Monitoring for Coal Low Heating Value in Coal-fired ...

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第35届中国控制会议

作者： Shi Yuanhao Wang Jingcheng Ren Yifeng School of Computer Science and Control Engineering North University of China Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781509009107

A novel comprehensive real-time on-line calculation model of coal's Low Heating Value(LHV) in coal-fired boiler is presented in this ***,the training operational data is partitioned into several subsets by means of C-Means cluster ***,the Least Squares Support Vector Machine(LS-SVM) method is used to training the sub-models in each ***,the sub-models are combined into one model based on Partial Least Squares algorithm(PLS).The models' effectiveness is illustrated by the validation of online simulation in which the real operation data is *** result shows that it is potential to considerably fulfill not only the accuracy of online monitoring of LHV of the coal into the boiler,but also the real-time computations that are supplied by using indirect heat balance approach.

关键词： Coal-fired Power Plant Boiler Thermal Efficiency Low Heating Value C-Means Cluster LS-SVM PLS

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Estimation of battery SOC based on improved EKF algorithm

Estimation of battery SOC based on improved EKF algorithm

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2016 IEEE Information Technology,Networking,Electronic and automation control Conference(ITNEC 2016)

作者： Shi Gang Zhao Wei Han Zhonghua Liu Shanshan Laboratory of Industrial Control Network and System Shenyang Institute of Automation Faculty of Information and Control Engineering Shen yang Jian zhu University

ISBN: (纸本)9781467391955

This paper studies the estimation of the state of lithium battery(SOC), and develops an improved extended Kalman filter algorithm for this problem. To compensate deficiencies of the simple polynomial fitting, the neural network algorithm firstly is adopted to simulate the relation curve between the SOC and the parameters of circuit model, which is constructed based on Thevenin circuit. And then the state space equation among the battery's SOC and the voltage of the ends of the RC loop is established, also does the measurement equation which is based on the battery output voltage. In addition, extended Kalman is applied to estimate battery SOC. In the last, the effectiveness of the proposed method is verified using an experimental testing, and the results show that our method can estimate the SOC more accurately comparing with the standard extended Kalman algorithm.

关键词： EKF neural network battery SOC Thevenin circuit Li-ion battery

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Robot Teaching by Teleoperation Based on Visual Interaction and Neural Network Learning

Robot Teaching by Teleoperation Based on Visual Interaction ...

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2017 9th International Conference on Modelling, Identification and control (ICMIC 2017)

作者： Yang Xu Chenguang Yang Junpei Zhong Hongbin Ma Lijun Zhao Min Wang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of Technology National Institute of Advanced Industrial Science and Technology School of Automation Beijing Institution of Technology State Key Laboratory of Robotics and System Harbin Institute of Technology

Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant,which is a complex and time-consuming *** this paper,we propose a novel method based on teleoperation which allows a demonstrator to train robot in an intuitive *** specifically,at the beginning the demonstrator controls a robot by visual *** then a learning algorithm based on radial basis function(RBF) network is used to transfer the demonstrator's motions to the *** verify the effectiveness of this developed methods,several simulation experiments have been carried out which based on Microsoft Kinect Sensor and the Virtual Robot Experimentation Platform(V-REP).The experimental results show that this method has achieved satisfactory *** the help of this method,the robot can not only complete the task autonomously after teaching,but also can learn the details of demonstrator's behavior.

关键词： Robot Teaching Teleoperation radial basis function(RBF) network

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A unified leader-follower scheme for mobile robots with uncalibrated on-board camera

A unified leader-follower scheme for mobile robots with unca...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Dejun Guo Hesheng Wang Weidong Chen Ming Liu Zeyang Xia Kam K. Leang DARC (Design Automation Robotics & Control) Lab University of Utah Robotics Center Salt Lake City Utah USA State Key Laboratory of Robotics and System (HIT) Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai China Department of Electronics and Computer Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Biomedical and Health Engineering Chinese Academy of Sciences Shenzhen China

This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.

关键词： Cameras Robot vision systems Kinematics Mobile robots Calibration automation

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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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