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IEEE Power and Energy Society General Meeting

作者： Shuning Gao Haoran Zhao Yonghao Gui Zhenbing Zhang Qiuwei Wu School of Electrical Engineering Shandong University Ji'nan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Ji'nan China Automation & Control Section Aalborg University Aalborg Denmark Technical University of Denmark Lyngby Denmark

In this paper, a Voltage Modulated Direct Power control (VM-DPC) for doubly fed induction generator is proposed. The suggested method is implemented in the rotor reference frame, so that the phase-lock loop can be removed and relevant potential instability can be eliminated. The main advantage is that the proposed method has a relative simple structure compare to conventional Look-Up Table (LUT) DPC and sliding mode control (SMC), besides, it not only guarantees an enhanced transient performance but also keeps the steady-state harmonic spectra at the same level as voltage-oriented strategy. Finally, a simulation based on MATLAB/Simulink is provided to validate the performance of proposed VM-DPC strategy.

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Robust Semi-Global Leaderless Consensus and Containment control of Identical Linear systems with Imperfect Actuators

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Journal of systems Science & Complexity 2018年第1期31卷 69-86页

作者： SHI Liangren ZHAO Zhiyun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

This paper investigates both the robust semi-global leaderless consensus problem and the robust semi-global containment control problem for a group of identical linear systems with imperfect actuators. The imperfect actuators are characterized by nonlinearities such as saturation and dead zone and there input output relationships are not precisely known. The dynamics of follower agents are also affected by the input additive disturbances. Low-and-high gain feedback consensus protocols are constructed to solve these problems. More specifically, it is shown that robust semi-global leaderless consensus can be achieved over a connected undirected graph and robust semi-global containment control can be achieved when each follower agent has access to the information of at least one leader agent. Numerical simulation illustrates the theoretical results.

关键词： Consensus containment control dead zone leaderless consensus multi-agent systems saturation

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Fault Tolerant control for High-Order Multi-agent systems with Switching Interaction Topologies

Fault Tolerant Control for High-Order Multi-agent Systems wi...

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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Qing Wang Yu'ang Liu Kewei Zhong Chaoyang Dong Yanze Hou School of Automation Science and Electrical Engineering Beihang University Beijing China Shanghai Aerospace Control Technology Institute Shanghai China School of Aeronautic Science and Engineering Beihang University Beijing China Institute of Manned Space System Engineer CAST Beijing China

ISBN: (数字)9781728106816

ISBN: (纸本)9781728106823

Fault tolerant control (FTC) for high-order multi-agent systems (MAS) with switching interaction topologies are investigated via active disturbance rejection control (ADRC) approach. The influence of the dynamics uncertainties and the actuator fault functions are estimated by the designed extended state observer (ESO), and compensated in the designed control strategy real time. The closed-loop system is proved to be stable despite the actuator fault. The algorithm for the chosen of the parameters is also given. The simulation results demonstrate the effectiveness of the designed controller, the MAS can achieve the predefined switching time-varying formation.

关键词： Topology Switches Actuators Uncertainty Fault tolerant control Multi-agent systems

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Two-stage Kalman Filter for Linear system with Correlated Noises

Two-stage Kalman Filter for Linear System with Correlated No...

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第37届中国控制会议

作者： Hong Wang Institute of System Science and Control Engineering School of AutomationHangzhou Dianzi University

The two-stage method is greatly effective to deal with state estimation for systems with unknown bias because it can improve the computation performance. Unfortunately, the current two-stage Kalman filters have some obvious limitations on noise formulation, for example, uncorrelated noises and white Gaussian noises and so on. The study on the common Kalman filtering methods has indicated that the simple noise assumptions cannot satisfy characteristics of practical systems. This paper designs a kind of two-stage Kalman estimator under the case with correlated noises. The idea is to introduce the Kalman filtering method with correlated noises to the design process of the two-stage Kalman filter with bias estimation. The purpose is to obtain an improved two-stage Kalman filter, which can deals with a kind of correlated noises, and extends practical application ***, changes on filtering formulas are clearly discovered after the noise correlation is considered compared to the current linear two-stage Kalman filters. The proposed method will be beneficial to the engineers and researches of corresponding *** effectiveness of this method can be verified by simulation.

关键词： Unknown Bias Correlated Noises Augmented State Kalman Filter Two-stage Kalman Filter Model Transformation

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Numerical detection of Gaussian entanglement and its application to the identification of bound entangled Gaussian states

arXiv

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arXiv 2020年

作者： Ma, Shan Xue, Shibei Guo, Yu Shu, Chuan-Cun School of Automation Central South University Changsha410083 China Peng Cheng Laboratory Shenzhen518000 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Hunan Provincial Key Laboratory of Flexible Electronic Materials Genome Engineering School of Physics and Electronic Science Changsha University of Science and Technology Changsha410114 China Hunan Key Laboratory of Super-Microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha410083 China

We present a numerical method for solving the separability problem of Gaussian quantum states in continuous-variable quantum systems. We show that the separability problem can be cast as an equivalent problem of determining the feasibility of a set of linear matrix inequalities. Thus, it can be efficiently solved using existent numerical solvers. We apply this method to the identification of bound entangled Gaussian states. We show that the proposed method can be used to identify bound entangled Gaussian states that could be simple enough to be producible in quantum optics. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

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Analysis of Harmonics Detection and their Filtration by using Active Band Pass Filter for Domestic Appliances

Analysis of Harmonics Detection and their Filtration by usin...

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IEEE International Conference on automation Science and engineering (CASE)

作者： Ehtisham Lodhi Zeeshan Lodhi Zhu Fenghua Gang Xiong Feiyue Wang Waheed ur Rehman Tariku Sinshaw The SKL for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad Campus Pakistan Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan Guangdong China Beijing Engineering Research Center of Intellectual System and Technology Chinese Academy of Sciences Beijing China College of Mechanical Engineering and Applied Electronics Technologies Beijing University of Technology Beijing China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

In modern era, one of the rising power quality (PQ) concern is harmonics distortion (HD). The HD is usually produced by increase in the utilization of nonlinear user loads at domestic level. It not only spoils the PQ but also have harmful effects on electrical appliances. So, this paper presents a new approach to mitigate the HD in home appliances rapidly by utilizing the active band pass filter (ABPF). The fast Fourier transform (FFT) technique is employed for the detection of harmonics in appliances. The band pass filter dramatically affects the response time of active filter. The suggested control methodology is capable to eliminate harmonics from distorted input voltage waveform and provides a pure sinusoidal waveform. The prototype of this model is also implemented. Experimental results along with simulation show that the proposed model is quite effective in eliminating HD despite load variations and also useful to compensate the reactive power in electronic home appliances. Hence, this technique is cost effective for domestic users with high quality performance in all aspects.

关键词： Power harmonic filters Harmonic analysis Band-pass filters Harmonic distortion Home appliances

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Independent Joint control system Design Method for Robot Motion Reconstruction 4th

Independent Joint Control System Design Method for Robot Mot...

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4th International Conference on Advanced engineering Theory and Applications, AETA 2017

作者： Tran, Manh Son Le, Nhat Binh Nguyen, Van Trong Dang, Dac Chi Choi, Eun Ho Kim, Young Bok Department of Mechanical System Engineering Pukyong National University Busan48547 Korea Republic of Department of Automation Control Faculty of Electrical and Air Conditioning Engineering Cao Thang Technical College Ho Chi Minh City Viet Nam

ISBN: (纸本)9783319698137

It is a challenging and hard problem to control the multi-joint robot manipulators due to the nonlinearities which are extremely and strongly coupled in the set of dynamic equations governing the motion dynamics of the robot system. This paper presents a robot control technique for definitely reconstructing motions. The controlled robot is used in small industries such as welding and painting work. The proposed method is a simple one and decentralized linear joint control strategy. Exactly describing, it is an user-oriented method and no need complex computation. In this study, at first, the mathematical model of each joint of the 5 DOF robot arm is derived individually. Secondly, to improve the control performance in transient response, nonlinear controllers such as feedback linearization as well as sliding mode control are exploited to compensate the nonlinearities and uncertainties. Finally, experiments are carried out to verify the effectiveness and feasibility of the presented approach, and the results are compared to those of the tuned PID controller. The results point out that the proposed control scheme is simple, realistic and can be easily employed on robot manipulators in the real world. © Springer International Publishing AG 2018.

关键词： Decentralized control

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Predicting Network controllability Robustness: A Convolutional Neural Network Approach

arXiv

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arXiv 2019年

作者： Lou, Yang He, Yaodong Wang, Lin Chen, Guanrong The Department of Electrical Engineering City University of Hong Kong Hong Kong The Department of Automation Shanghai Jiao Tong University Shanghai 200240 China The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

Network controllability measures how well a networked system can be controlled to a target state, and its robustness reflects how well the system can maintain the controllability against malicious attacks by means of node-removals or edge-removals. The measure of network controllability is quantified by the number of external control inputs needed to recover or to retain the controllability after the occurrence of an unexpected attack. The measure of the network controllability robustness, on the other hand, is quantified by a sequence of values that record the remaining controllability of the network after a sequence of attacks. Traditionally, the controllability robustness is determined by attack simulations, which is computationally time consuming. In this paper, a method to predict the controllability robustness based on machine learning using a convolutional neural network is proposed, motivated by the observations that 1) there is no clear correlation between the topological features and the controllability robustness of a general network, 2) the adjacency matrix of a network can be regarded as a gray-scale image, and 3) the convolutional neural network technique has proved successful in image processing without human intervention. Under the new framework, a fairly large number of training data generated by simulations are used to train a convolutional neural network for predicting the controllability robustness according to the input network-adjacency matrices, without performing conventional attack simulations. Extensive experimental studies were carried out, which demonstrate that the proposed framework for predicting controllability robustness of different network configurations is accurate and reliable with very low overheads. © 2019, CC BY.

关键词： Complex networks

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Towards optimal robustness of network controllability: An empirical necessary condition

arXiv

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arXiv 2019年

作者： Lou, Yang Wang, Lin Tsang, Kim Fung Chen, Guanrong Department of Electrical Engineering City University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

To better understand the correlation between network topological features and the robustness of network controllability in a general setting, this paper suggests a practical approach to searching for optimal network topologies with given numbers of nodes and edges. Since theoretical analysis is impossible at least in the present time, exhaustive search based on optimization techniques is employed, firstly for a group of small-sized networks that are realistically workable, where exhaustive means 1) all possible network structures with the given numbers of nodes and edges are computed and compared, and 2) all possible node-removal sequences are considered. An empirical necessary condition (ENC) is observed from the results of exhaustive search, which shrinks the search space to quickly find an optimal solution. ENC shows that the maximum and minimum in- and out-degrees of an optimal network structure should be almost identical, or within a very narrow range, i.e., the network should be extremely homogeneous. Edge rectification towards the satisfaction of the ENC is then designed and evaluated. Simulation results on large-sized synthetic and real-world networks verify the effectiveness of both the observed ENC and the edge rectification scheme. As more operations of edge rectification are performed, the network is getting closer to exactly satisfying the ENC, and consequently the robustness of the network controllability is enhanced towards optimum. Copyright © 2019, The Authors. All rights reserved.

关键词： controllability

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Two-layer structure predictive control of target tracking mode for dual time-scale system

Two-layer structure predictive control of target tracking mo...

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Chinese automation Congress (CAC)

作者： Hongrui Wang Tao Zou Zhijia Yang Hongyu Zheng State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Institute of Intelligent Manufacturing Huanghuai University Zhumadian China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In the dual time-scale system, the time for the fast and slow model to reach steady-state values is inconsistent. Based on the "point" model strategy of integral variables, this paper compares and analyzes the slow model variables with the integral variables and designs a two-layer structure predictive controller for the dual time-scale system under the model truncation. The steady-state optimization layer uses the step response characteristics of slow model variables to derive the multi-step controlled variable prediction values after the truncation point. Based on the improved displacement matrix, the error correction coefficient is modified by introducing an error compensation factor in the dynamic control layer to reduce the accumulated error of model truncation. Under the truncated dual time-scale system model, the improved strategy proposed in the paper can not only maintain the amount of calculation of the predictive control but also solve the problem that the steady-state target calculation is not accurate enough due to model mismatch. Finally, the elfectiveness of the improvement strategy is verified by simulation comparison.

关键词： Robots Optimized production technology Manufacturing control systems automation Target tracking Steady-state

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