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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Zhishuai Jiang Chengzhong Yu Dongmei Yan Yuliang Zhao School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China Key Lab of Industrial Computer Control Engineering of Hebei Province School of Electrical Engineering Yanshan University Qinhuangdao China

Space-borne electronic equipment is an indispensable part of the space system, but the possible remainder particle in the sealed space-borne electronic equipment causes irreparable losses to the space system. How to detect the remainder particle for space-borne electronic equipment has always been a key problem affecting the stability of the spaceborne electronic equipment and the safety of space. Particle impact noise detection (PIND) is usually used to detect remainder particle. However, how to use PIND to design a convenient and fast system to detect the remainder particle for sealed space-borne electronic equipment has always been the focus of research. In the system, artificial vibration is used by us to provide vibration conditions for the tested parts, and the noise information is collected by acoustic emission sensor. Then the data acquisition card is used to collect the information to the host computer. In order to detect remainder particle, individual pulse is extracted to process the acquired noise information firstly. Next, analyze time domain features of single pulse to judge the quality and material of remainder particle. Simultaneously, distinguish component signal or signal of remainder particle by short-time Fourier transform. Through many experiments, the accuracy of the system can reach 100% by this method.

关键词： Vibrations Electronic equipment Fourier transforms Data acquisition Feature extraction Stability analysis Safety

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Active disturbance rejection control: Methodology, practice and analysis 33

Active disturbance rejection control: Methodology, practice ...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Huang, Yi Xue, Wenchao Zhiqiang, Gao Sira-Ramirez, Hebertt Wu, Dan Sun, Mingwei Key Lab. Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Cleveland State University ClevelandOH44115 United States CINVESTAV Mexico City Mexico Department of Mechanical Engineering Tsinghua University Beijing100084 China College of Computer and Control Engineering Nankai University Tianjin300071 China

ISBN: (纸本)9789881563842

An overview of the active disturbance rejection control (ADRC) is presented in this talk. Ever since ADRC was proposed by Jingqing Han in 1990s[1]1, it has become quite an attractive methodology to applied researchers, even though rigorous theoretical justification was lagging behind for quite some time. The fact that ADRC possesses certain uniqueness in concepts, simplicity in engineering implementation, and superior actual performance allowed it to be readily translated into a valuable asset in engineering practice: namely, the ability in dealing with a vast range of uncertainties, improved transient response, easy implementation and energy savings, to name but a few. The range of applications seems broad, covering almost all domains of control engineering, such as motion control, speed control of induction motor and permanent-magnet synchronous motor, control for noncircular turning process, low-velocity compensation of brushless DC servo, robotic system, underactuated mechanical systems, micro-electro-mechanical systems gyroscope, control for superconducting RF cavities, flight control, attitude tracking of rigid spacecraft, web tension regulation, DC-DC power converter, chemical processes, ALSTOM gasifier benchmark problem, the boilerturbine-generator control systems, stabilization of axial flow compressors, the fractional-order system, etc. [10]-[31]. In the U.S.A., the ADRC solution was recently deployed at a Parker Hannifin Extrusion Plant in North America, resulting in over 50% energy saving per line across ten production lines, together with significant improvements in product quality [32]. And Texas Instrument has adopted the ADRC technology in developing and distributing a new line of motion control chips worldwide [33].The National Superconducting Cyclotron lab.in the U.S. has implemented ADRC in several high energy particle accelerators after significant improvements have been obtained in amplitude and phase regulation of electromagnetic fields. The ta

关键词： Permanent magnets

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Fault Tolerant control for the Vibration Displacement System of a Continuous Casting Mold Based on a Fault Detection Observer

Fault Tolerant Control for the Vibration Displacement System...

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第43届中国控制会议

作者： Wenqi Hao Yiming Fang Le Liu Xiaonan Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In this paper,a fault detection observer and an adaptive sliding mode fault-tolerant controller are designed for the vibration displacement system of a continuous casting mold with actuator faults and load torque ***,a mathematical model of a continuous casting mold vibration displacement system driven by a servo motor with actuator faults and load disturbance uncertainties are ***,a fault detection observer is designed to obtain information on actuator faults,load disturbances,and system state ***,based on the information from the fault detection observer,an adaptive sliding mode fault-tolerant controller is designed,and the stability of the designed system is proved using Lyapunov stability ***,the effectiveness of the designed adaptive sliding mode fault-tolerant controller based on fault observer is verified through simulation.

关键词： Continuous casting mold Fault detection observer Fault tolerant control Actuator fault Vibration displacement system Driven by a servo motor

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Actuator Fault Estimation Based On Adaptive Iterative Learning Algorithm For Nonlinear Periodic Systems

Actuator Fault Estimation Based On Adaptive Iterative Learni...

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第40届中国控制会议

作者： Ya-qi Liu Yi-ming Fang Le Liu Xing-da Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University

A actuator fault estimation algorithm based on adaptive iterative learning is proposed for a class of nonlinear periodic systems with actuator fault and ***,the proposed method designs a state observer and a fault estimator based on adaptive iterative *** Lyapunov stability theory and the optimization theory are employed to prove the convergence of the *** the LMI toolbox is utilized to obtain the results of the observer gain matrix and fault estimator parameter *** method combines the iterative learning strategy with the adaptive algorithm,and utilizes not only the state error signals of the last iteration learning,but also the output error signals of this *** makes the estimated fault approximate to the real fault gradually and realizes the accurate estimation of the time-varying fault and the intermittent ***,the validity and accuracy of the proposed method are verified by the simulation of a single-link robotic arm mold.

关键词： Iterative learning scheme Adaptive algorithm Fault estimation Actuator fault Linear matrix inequality

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Hierarchical Energy Management Strategy of Hybrid Electric Truck Fleet under Connected Environment

Hierarchical Energy Management Strategy of Hybrid Electric T...

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第43届中国控制会议

作者： Qizhe Lu Wenbin Tang Zitong Pang Yahui Zhang Xiaohong Jiao School of Electrical Engineering Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University School of Mechanical Engineering Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Considering the slow-moving and energy-consuming issues that tend to occur when truck fleets drive,this paper proposes a hierarchical energy management strategy(EMS) for the hybrid electrical truck(HET) fleet,including speed planning and energy *** speed threshold range that allows the whole fleet to pass through the traffic light is computed in the upper-layer speed *** the model predictive control framework,a multi-objective optimization function is constructed for speed planning to find the optimum *** the lower-layer energy management,an offline model is established for power allocation between the Integrated Starter Generator and the Electric Motor and gear shift selection of automated manual transmission to reduce the dimensionality of the control ***,an adaptive equivalent consumption minimum strategy(A-ECMS) is designed based on the fleet's optimal speed *** the offline part,the transformation relationship between the co-state and equivalence factor is established based on Pontryagin's minimum principle(PMP),and PMP obtains the globally optimal control sequence in the historical driving cycle to train a back-propagation neural network(BPNN).The BPNN model predicts the current optimal co-state in the online part,transformed into a real-time optimal equivalence factor to guide the A-ECMS online *** simulation results indicate that the fuel economy of the proposed EMS is comparable to that of the global optimization method PMP and superior to that of Fixed EF-ECMS and ***,it enables the HET fleet to pass through traffic lights without stopping,thereby ensuring queue continuity and improving the passage efficiency of the fleet.

关键词： hybrid electric trucks equivalent consumption minimization strategy fleet speed planning back-propagation neural network model predictive control

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Event-Triggered Robust Model Predictive control for Multi-Agent Systems Under Hybrid Attacks

Event-Triggered Robust Model Predictive Control for Multi-Ag...

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Chinese control Conference (CCC)

作者： Yongxin Yin Jianxiong Li Chongyi Gao Yiming Fang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China Department of Electromechanical Engineering Tangshan University Tangshan China

In this paper, the consensus control problem for multi-agent systems (MASs) suffering hybrid attacks is discussed, in which the hybrid attacks include randomly occurring deception attacks on system dynamic behavior and denial-of-service attacks (DoS). An event-triggered robust model predictive control (RMPC) method is presented to achieve the consensus of MASs under hybrid attacks. It can be proved that the consensus errors can be asymptotic with prescribed H ∞ performance, the sufficient condition for stability can be given in terms of linear matrix inequalities (LMIs), and the controller gains are obtained by solving an optimization problem involving some LMIs. Employing the event-triggered mechanism with maximum trigger interval, not only can not only save computation time and facilitate the efficiency of the shared resources but also can effectively be responsible for the negative impact of cyber-attacks on system performance. Finally, simulation results are given to illustrate the validity and effectiveness of the proposed method.

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Research and Application of Flatness control for Tandem Cold Rolling

Research and Application of Flatness Control for Tandem Cold...

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第37届中国控制会议

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

Compound wave defect occurs in flatness during tandem cold rolling when high-end automobile and household appliance plate are produced, which has several impact on line speed and quality of final product. In this paper, a further research is done on sourcing cause of formation for the flatness defect. In combination with adjusting actuators and automatic flatness control principles, Achieving target flatness by rolls tilting, work rolls bending, middle rolls bending, and section cooling *** control output of tilting, work rolls and middle rolls bending are calculated by the least square method. Section cooling control output of rolling is calculated by the typical fuzzy control theory. The least square method and fuzzy control algorithm are optimized so as to enhance control accuracy of automatic flatness, and at the same time largely improve flatness of steel strip, reduce working strength of operators and improve production efficiency of production line.

关键词： Tandem cold rolling Automatic flatness control Least square method Fuzzy control

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Optimization schedule for preventing slippage on tandem cold rolling mills based on IAGA

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2010年第10期32卷 1360-1365页

作者： Che, Hai-Jun Han, Xin-Yan Yang, Jing-Ming Yang, Zhi-Fen Hebei Key Lab. of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China

To tackle the problem of slippage during the cold rolling process of a tandem mill, a schedule optimization model for preventing slippage was established based on slip factor. Aiming to the shortages of the standard genetic algorithm, such as premature convergence, oscillation and over-randomization, an improved adaptive genetic algorithm was applied to optimize the system. In the algorithm a population-sorted multi-roulette-wheel selection operator was put forward for reducing the selected error generated by roulette-wheel randomization and promoting the probability of selecting better individuals. Simultaneously the algorithm decides the crossover rate and mutation rate of chromosome based on the individual adaptive value in the calculation process, makes the start phase variable obviously and the later phase stable slowly, and ensures population development, seeking balance and entire convergence. Experimental results and actual application show that the schedule optimization model can reduce the slip probability prominently, improve the product quality, and achieve a better economic benefit.

关键词： Cold rolling

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PID-type Sliding Mode control for Permanent Magnet Synchronous Motor Based on Uncertainty and Disturbance Estimator

PID-type Sliding Mode Control for Permanent Magnet Synchrono...

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Chinese Automation Congress (CAC)

作者： Jianxiong Li Songhua Wang Jie Gao Yiming Fang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Electrical Engineering Yanshan University Qinhuangdao China

In order to improve the speed tracking control performance of Permanent magnet synchronous motors (PMSM) with uncertainties and disturbances, an uncertainty and disturbance estimator (UDE)-based PID-type sliding mode control (SMC) approach is proposed. The proposed controller consists of two parts, the reference model, and the UDE-based sliding mode controller. The reference signals of the actual system are generated by a reference model, whose controller is designed by using a nonsingular terminal sliding mode control (NTSMC), and then employed in the UDE-based controller design. The UDE is used to estimate the uncertainties and disturbances of the system, and an UDE-based SMC algorithm is then developed. It can be proved that the resulting closed-loop system is ultimately bounded. Finally, simulation results are given to illustrate that the proposed control scheme achieves good dynamic performance and strong robustness.

关键词： Uncertainty Sliding mode control Low pass filters Steady-state Robustness Permanent magnet motors Simulation

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Object Tracking Method Based on SURF

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AASRI Procedia 2012年 3卷 351-356页

作者： Hu Shuo Wu Na Song Huajun Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Key Lab of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Institute of Information and Control Engineering China University of Petroleum (East China) Dongying 257061 China

An object tracking algorithm based on SURF is presented in this paper. Interest points are detected by SURF detector in reference region which is located in the first frame manually. In the following sequences, the SURF feature points are extracted in a larger window which is selected as test region. In the matching stage, we calculate the Euclidean distance between the descriptor vectors of interest points in the test image and ones in the reference image. The proposed algorithm is implemented on an embedded platform with TI's DM6446 high performance processor. The experimental results show that our system implements a real-time tracking with robustness against appearance variations, scale change, and cluttered scenes.

关键词： Object track SURF descriptor Feature detection DM6446

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