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Real-time vehicle tracking for traffic monitoring systems

High Technology Letters 2016年第3期22卷 248-255页

作者：胡硕 Zhang Xuguang Wu Na Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical EngineeringYanshan University Key Laboratory of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical EngineeringYanshan University

A real-time vehicle tracking method is proposed for trattlC monitoring system at roau mte^cc- tions, and the vehicle tracking module consists of an initialization stage and a tracking stage. Li- cense plate location based on edge density and color analysis is used to detect the license plate re- gion for tracking initialization. In the tracking stage, covariance matching is employed to track the license plate. Genetic algorithm is used to reduce the computational cost. Real-time image tracking of multi-lane vehicles is achieved. In the experiment, test videos are recorded in advance by record- ers of actual E-police systems erage false detection rate and at several different city intersections. In the tracking module, the av- missed plates rate are 1.19%, and 1.72%, respectively.

关键词： traffic monitoring system covariance matching genetic algorithms vehicle tracking

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Nonlinear Auto Disturbance Rejection control for Vibration Displacement System of Continuous Cast Mold Driven by Servo Motor 35

Nonlinear Auto Disturbance Rejection Control for Vibration D...

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第35届中国控制会议

作者： ZHENG Huicheng LIU Le FANG Yiming LI Qiang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

ISBN: (纸本)9781509009107

Aiming at the problem about the nonlinear function and the mechanical zero offset in the vibration system of continuous casting mold driven by servo motor, a discrete auto disturbance rejection control（ADRC） with nonlinear function processing algorithm is proposed. Firstly, for the nonlinear multi solutions problem existing between rotation angle and displacement of mold, a nonlinear algorithm is proposed to get the practical phase difference of eccentric shaft. The algorithm is achieved by calculating the time difference between ideal time of arrival and actual time of arrival at the same position. Secondly, the mathematical model of vibration system is discretized by using the Euler method, and an ADRC is designed to estimate the eccentric shaft mechanical zero offset and load disturbance, and then compensate and weaken the position error. Finally, the simulation results demonstrate the feasibility of the proposed method.

关键词： Continuous casting mold Non-sinusoidal vibration Driven by servo motor Auto disturbance rejection control

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The Influence of Scanning Pattern on the Part Properties in Powder Bed Fusion Processes: An Experimental Study

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Procedia CIRP 2017年 61卷 606-611页

作者： Hong Zhang Tao Peng Shuangmei Xu The State Key Lab of Fluid Power Transmission and Control Industrial Engineering Center College of Mechanical Engineering Zhejiang University Hangzhou 310027 China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province Hangzhou 310027 China

Many parameters in a laser based powder bed fusion process affect the part property. In this research, experiments were designed to study how scanning pattern affects the properties of printed 17-4 PH stainless steel parts. Five different representative scanning patterns were adopted. Micro hardness, density and energy consumption values of the sample parts were analyzed. Micro hardness was evenly distributed, and above the standard hardness value. Hardness in cross section is generally higher than that in vertical section. Density of parts in concentric line pattern is the lowest, and continuous mesh is the highest. Using continuous mesh, it consumed more energy than others.

关键词： laser based powder bed fusion scanning pattern micro hardness density energy consumption.

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A Projection-Based Algorithm for Constrained L1- Minimization Optimization with Application to Sparse Signal Reconstruction

A Projection-Based Algorithm for Constrained L1- Minimizatio...

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International Conference on Information Science and Technology (ICIST)

作者： Qingshan Liu Wei Zhang Jiang Xiong Bingrong Xu Long Cheng School of Mathematics Southeast University Nanjing China College of Computer Science and Engineering Chongqing Three Gorges University Chongqing China School of Automation Huazhong University of Science and Technolog< Wuhan China State Key Lab. of Management and Control for Complex Systems University of Chinese Academy of Sciences Beijing China

In this paper, a projection-base algorithm is proposed for solving the constrained L 1 -minimization problem. Furthermore, the algorithm is utilized to sparse signal reconstruction. The L 1 -minimization is first converted into some equations which are described by the projections onto a hyper box set and the nonnegative quadrant. Then a iterative algorithm is proposed for solving the L 1 -minimization problem. Next, the algorithm is applied to sparse signal reconstruction described as an L 1 -minimization problem subject to L ∞ -norm noise constraint, or equivalently bound constraint. Finally, several experiments are presented to show the performance of the proposed algorithm.

关键词： Signal processing algorithms Signal reconstruction Optimization Convergence Electronic mail Recurrent neural networks Lyapunov methods

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Flight time minimization of UAV for data collection over wireless sensor networks

arXiv

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arXiv 2018年

作者： Gong, Jie Chang, Tsung-Hui Shen, Chao Chen, Xiang School of Data and Computer Science Sun Yat-sen University Guangzhou510006 China School of Science and Engineering Chinese University of Hong Kong Shenzhen Shenzhen518172 China State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China School of Electronics and Information Engineering Sun Yat-sen University Guangzhou510006 China SYSU-CMU Shunde International Joint Research Institute Key Lab of EDA Research Institute of Tsinghua University in Shenzhen Shenzhen518057 China

In this paper, we consider a scenario where an unmanned aerial vehicle (UAV) collects data from a set of sensors on a straight line. The UAV can either cruise or hover while communicating with the sensors. The objective is to minimize the UAV's total flight time from a starting point to a destination while allowing each sensor to successfully upload a certain amount of data using a given amount of energy. The whole trajectory is divided into non-overlapping data collection intervals, in each of which one sensor is served by the UAV. The data collection intervals, the UAV's speed and the sensors' transmit powers are jointly optimized. The formulated flight time minimization problem is difficult to solve. We first show that when only one sensor is present, the sensor's transmit power follows a water-filling policy and the UAV's speed can be found efficiently by bisection search. Then, we show that for the general case with multiple sensors, the flight time minimization problem can be equivalently reformulated as a dynamic programming (DP) problem. The subproblem involved in each stage of the DP reduces to handle the case with only one sensor node. Numerical results present insightful behaviors of the UAV and the sensors. Specifically, it is observed that the UAV's optimal speed is proportional to the given energy of the sensors and the inter-sensor distance, but inversely proportional to the data upload requirement. Copyright © 2018, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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PID2018 benchmark challenge: Model-based feedforward compensator with a conditional integrator ??

arXiv

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arXiv 2018年

作者： Yuan, Jie Ates, Abdullah Dehghan, Sina Zhao, Yang Fei, Shumin Chen, YangQuan School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey Mechatronics Embedded Systems and Automation Lab University of California MercedCA95340 United States School of Science and Engineering Shandong University Jinan250061 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China

Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the effciency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods. Copyright © 2018, The Authors. All rights reserved.

关键词： Disturbance rejection

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Stability analysis of periodic solutions and time-delay feedback control of the torsional vibration system of the rolling mill

Stability analysis of periodic solutions and time-delay feed...

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第六届工程机械与车辆工程新进展国际学术会议

作者： Shuang Liu Shuxian Tan Shuo Li Yaqian Li Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University

In this paper,considering the influence of nonlinear factors and Lagrange principle,the general dynamic equation of the nonlinear torsional vibration system with nonlinear stiffness and excitation is

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An intra-body communication research platform based on virtual instrument 13

An intra-body communication research platform based on virtu...

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13th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2017

作者： Lin, Shi Gao, Yueming Zhang, Hengfei Željka, Lučev Vasić Vai, Mang-I Du, Min Cifrek, Mario Pun, Sio-Hang College of Physics and Information Engineering Fuzhou University Fuzhou350116 China Key Lab of Medical Instrumentation and Pharmaceutical Technology of Fujian Province Fuzhou350116 China Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia State Key Laboratory of Analog and Mixed Signal VLSI University of Macau 999078 China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau 999078 China Key Lab of Eco-industrial Green Technology of Fujian Province Nanping China

ISBN: (纸本)9781509050345

An intra-body communication (IBC) research platform based on virtual instrument was established for the hardware design of IBC transceiver. Firstly, the feasibility of constructing IBC research platform using optic-coupling circuit was verified via comparison of three kinds of measurement methods based on virtual instrument. Then, ASK, FSK and BPSK modulation-demodulation were realized via labVIEW programming, and user interface of the platform was also designed. The platform could achieve signal transmission or recover under different coupling type, different channel distance and different modulation-demodulation method, etc., by means of dynamic adjusting of platform parameters. Experiment results of capacitive-coupling under the platform indicated the authenticity and feasibility of signal transmission. Finally, a full-floating IBC transceiver was designed aided by the parameters provided by the research platform under the scene of capacitive-coupling, FSK modulation and 180 cm channel distance. Moreover, Bit Error Rate (BER) of the transceiver was less than 1e-5, which meant that it is effective and convenient for the design of IBC transceiver aided by virtual instrument platform. © 2017 IEEE.

关键词： User interfaces

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A New Power-efficient Distributed Method for Clock Synchronization in Sensor Networks 35

A New Power-efficient Distributed Method for Clock Synchroni...

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第35届中国控制会议

作者： QIAO Yong YANG Wenlun FU Minyue State Key Laboratory of Industrial Control Technology and the Department of Control Science and Engineering Zhejiang University School of Electrical Engineering and Computer Science University of Newcastle

ISBN: (纸本)9781509009107

This paper presents a new distributed power-efficient method consisting of clock synchronization achieving and maintaining *** achieving protocol can realize synchronization of time variations and initial time errors independently and simultaneously with an energy-efficient communication scheme designed in the *** a stopping criterion is proposed to degrade the protocol into a maintaining one which is synthesized under the general strongly connected digraph to achieve more energy *** simulations are given to illustrate the performance of the method.

关键词： Distributed method Power-efficient Clock Synchronization

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Modeling Based on BP Neural Network for Non-sinusoidal Vibration Displacement control System of Continuous Casting Mold Driven by Servo Motor 35

Modeling Based on BP Neural Network for Non-sinusoidal Vibra...

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第35届中国控制会议

作者： MA Zhuang FANG Yiming LIU Le KANG Kesong Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Tangshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

ISBN: (纸本)9781509009107

In order to improve the displacement control precision of continuous casting mold, the establishment of precise mathematical model of non-sinusoidal vibration displacement control system is important. The modeling method of BP neural network optimized by genetic algorithm is adopted, which can solve the problem of the mechanism modeling of various approximate treatments. Firstly the system model of BP neural network is constructed according to the measured data received from industrial field. Secondly, BP neural network model of genetic optimization is built. Then simulations are eventually performed, and then by comparing the error between the predicted displacement outputs of BP neural network optimized by genetic algorithm and the actual output displacement of the system, the simulation results show that the system error of the identified model is within 4%, and the identification method of BP neural network optimized by genetic algorithm is superior to the mechanism modeling.

关键词： continuous casting mold servo motor non-sinusoidal vibration BP neural network genetic algorithm

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