检索结果-内蒙古大学图书馆

Digital Metamaterials: Designing 3D Digital Metamaterial for Elastic Waves: From Elastic Wave Polarizer to Vibration control (Adv. Sci. 16/2019)

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Advanced Science 2019年第16期6卷 1970097-1970097页

作者： Huan Liu Quan Zhang Kai Zhang Gengkai Hu Huiling Duan State Key Laboratory of Turbulence and Complex Systems Department of Mechanics and Engineering Science BIC-ESAT College of Engineering Peking university Beijing 100871 China School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Dynamics and Control of Flight Vehicle School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China CAPT HEDPS and IFSA Collaborative Innovation Center of MoE Peking University Beijing 100871 China

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Consensus disturbance rejection of network-connected dynamic systems with input delay and unknown network connectivity

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IFAC-PapersOnLine 2017年第1期50卷 10357-10362页

作者： Wang C. Sun J. Zuo Z. Ding Z. School of Electrical and Electronic Engineering University of Manchester Sackville Street Building Manchester M13 9PL United Kingdom State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University Beijing 100871 China The Seventh Research Division and Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China

In this paper, we consider the distributed consensus problem for multi-agent systems with input delay and unknown disturbances. To deal with the input delay and disturbances, a predictor- and disturbance observer-based control strategy is developed for each follower. Then, a distributed robust adaptive consensus protocol with dynamic coupling gains is proposed based on the relative state of the neighbouring agents, guaranteeing that all signals in the closed-loop dynamics are uniformly ultimately bounded and the consensus tracking error converges to an arbitrarily small residual set. The controllers are proposed in a fully distributed way such that the global information related to the eigenvalues of the Laplacian matrix is not needed. Finally, the validity of the proposed controller is demonstrated through a numerical example. © 2017

关键词： adaptive control Consensus disturbance rejection input delay multi-agent systems

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Hybrid Prediction Model of Carbon Efficiency for Sintering Process

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IFAC-PapersOnLine 2017年第1期50卷 10238-10243页

作者： Hu J. Wu M. Chen X. She J. Cao W. Chen L. Ding H. School of Automation China University of Geosciences Wuhan 430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China School of Engineering Tokyo University of Technology Hachioji Tokyo 192-0982 Japan School of Mechanical Engineering & Electronic Information China University of Geosciences Wuhan 430074 China

Sintering process is the second most energy-consuming process in ironmarking. The main source of energy consumption is the consumption of carbon. It is significant to predict the carbon efficiency to reduce the energy consumption. In the paper, first, the comprehensive coke ratio (CCR) is defined and used as an index to measure the carbon efficiency by analyzing the sintering mechanism. The principal component analysis method is used to find the principal components affecting the CCR. Next, they are divided into different subclasses by adopting the fuzzy C-means clustering algorithm. Then, the least square-support vector machine (LS-SVM) sub-models are established based on the subclasses, and the parameters of the sub-models are obtained using an adaptive particle swarm optimization algorithm. Finally, a FCM-LSSVM model is established by weighting each LS-SVM sub-model with a fuzzy membership function. The simulations using actual production data show that the prediction accuracy of the FCM-LSSVM model is higher than that of a BP neural network model and a single LS-SVM model, and it meets the requirements of actual production. © 2017

关键词： Adaptive particle swarm optimization Comprehensive coke ratio Fuzzy C-means LS-SVM model Principal component analysis Sintering process

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Communication Distance Correlates Positively with Electrode Distance in Underwater Electrocommunication

Communication Distance Correlates Positively with Electrode ...

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IEEE International Conference on Robotics and Biomimetics

作者： Yang Zhou Wei Wang Han Zhang Chen Wang Gang Xu Guangming Xie College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Department of Urban Studies and Planning Massachusetts Institute of Technology Cambridge MA USA 76315 Troop of the PLA Guangzhou China State Key Laboratory for turbulence and Complex Systems Peking University Beijing China Institute of Ocean Research Peking University Beijing China

ISBN: (纸本)9781728103785;9781728103778

Underwater wireless communication technology has been restricting the development of undersea resources for decades. We have proposed an effective underwater communication method (electrocommunication) for small underwater robots in our previous studies. In this article, we further study how electrode distance/spacing affects the communication range of electrocommunication between the robotic fish models. The working principle of electrocommunication is simplified by an electric dipole model. Based on the electric dipole model, the maximum theoretical distance of electrocommunication is derived as r=K 3 √(d 2 ) where d 2 is the distance between the receiving electrodes, and K is a constant related to the system and environmental parameters. Extensive experiments were conducted by varying the distance between the transmitting electrodes. The results show that the maximum experimental distance is basically consistent with the theoretical predictions, and that the communication distance is positively correlated with the electrode distance.

关键词： Electrodes Robots Receivers Transmitters Unmanned underwater vehicles Microcontrollers Underwater communication

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Design of temperature compensation for silicon-sapphire pressure sensor

Design of temperature compensation for silicon-sapphire pres...

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2017 IEEE International Conference on Imaging systems and Techniques, IST 2017

作者： Manguo, Huang Defeng, Liu Chao, Lu Zhanshe, Guo Xin, Li Advanced Sensor Technology Center AVIC Beijing Changcheng Aeronautic Measurement Control Technology Research Institute Aviation Key Laboratory of Science and Technology Special Condition Monitoring Sensor Technology Beijing China School of Instrument Science and Opto-electronics Engineering State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

ISBN: (纸本)9781538616208

In order to solve the problem that the temperature drift of the silicon-on-sapphire pressure sensor is too large to reduce the accuracy of pressure measurement at high temperature, a temperature compensation scheme based on a single chip is proposed. The temperature of the working environment is obtained by a PT100, and integrated with the output of pressure sensor to calculate the compensated pressure sensor. Problems of power supply and signal acquisition are solved by the high precision, low drift voltage and current references, programmable amplifiers and high precision ADCs on chip. According to the working characteristics of the silicon-on-sapphire pressure sensor, an efficient temperature compensation algorithm is designed, and written to the on-chip ARM processor. The experimental results show that the maximum measurement error of pressure in the temperature range of -20∼250°C and measurement range of 0∼28 MPa is 8.37%FS before compensation and reduced to 0.3%FS after compensation. The accuracy of the sensor is greatly improved by the compensation system. © 2017 IEEE.

关键词： Pressure sensors

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Robust frequency control design on micro-grid with unknown dead-zone nonlinearity

Robust frequency control design on micro-grid with unknown d...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Chaoxu Mu Ding Wang Changyin Sun School of Automation Southeast University Nanjing China Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538629024

The frequency stability is very critical for the safe operation of power system. Meanwhile, distributed energy storages and unknown governor dead band (GDB) will cause system frequency deterioration when the load-frequency control (LFC) is not able to tackle these uncertainties. The stability of an island smart grid is a challenging topic because the less power sources can be regulated to handle power unbalance. In this paper, a neural network-based adaptive sliding mode controller is designed to be as the load frequency controller for an island smart grid with electrical vehicles (EVs), load disturbances and unknown governor dead band. The on-line neural compensation technology is employed to enable the sliding mode frequency control adaptive, thus the frequency stability of power system is improved. Simulation results on a benchmark island smart grid with governors, micro-turbine, EVs, load changes are provided to illustrate the competitive performance.

关键词： Smart grids Frequency control Power system stability Stability analysis Sliding mode control Biological neural networks Benchmark testing

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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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Non-contact transportation and rotation of micro objects by vibrating glass needle circularly under water

Non-contact transportation and rotation of micro objects by ...

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2017 IEEE International Conference on Robotics and Automation, ICRA 2017

作者： Liu, Xiaoming Kojima, Masaru Shi, Qing Wang, Huaping Sun, Tao Mae, Yasushi Huang, Qiang Arai, Tatsuo Fukuda, Toshio Intelligent Robotics Institute School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China Department of Systems Innovation Osaka University 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan Faculty of Science and Engineering Meijo University 1-501 Shiogamaguchi Tenpaku-ku Nagoya468-8502 Japan

ISBN: (纸本)9781509046331

In micromanipulation, lots of methods have been developed to manipulate objects in microscale. However, few of them can be applied in both the transportation and the rotation of the micro objects. In this paper, we present a novel method to realize the non-contact transportation and rotation of the micro objects based on the vibration-induced swirl flow. A piezo actuator is set between the glass needle and a metal rod. The sine wave with controlled frequency and amplitude is input into the piezo actuator to drive the glass needle to move circularly, which is caused by resonance of the actuator and the metal rod. We place the glass needle under water and keep a limited distance to the bottom. The circular vibration of the glass needle can generate a swirl flow and low pressure around it. The low pressure can trap and transport the micro objects vertically to the glass needle, and the swirl flow can rotate the objects continuously. Finally, we realize the trap and rotation of micro object with only one piezo actuator. Experiments of transportation and rotation of microbeads are carried out, and the results demonstrate it is a simple, low-cost, effective micromanipulation method. © 2017 IEEE.

关键词： Needles

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Feature fusion methods for robust speech emotion recognition based on deep belief networks 16

Feature fusion methods for robust speech emotion recognition...

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5th International Conference on Network, Communication and Computing, ICNCC 2016

作者： Wu, Ao Huang, Yongming Zhang, Guobao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China

ISBN: (纸本)9781450347938

The speech emotion recognition accuracy of prosody feature and voice quality feature declines with the decrease of SNR (Signal to Noise Ratio) of speech signals. In this paper, we propose novel sub-band spectral centroid weighted wavelet packet cepstral coefficients (W-WPCC) for robust speech emotion recognition. The W-WPCC feature is computed by combining the sub-band energies with sub-band spectral centroids via a weighting scheme to generate noise-robust acoustic features. And Deep Belief Networks (DBNs) are artificial neural networks having more than one hidden layer, which are first pre-trained layer by layer and then fine-tuned using back propagation algorithm. The welltrained deep neural networks are capable of modeling complex and non-linear features of input training data and can better predict the probability distribution over classification labels. We extracted prosody feature, voice quality features and wavelet packet cepstral coefficients (WPCC) from the speech signals to combine with W-WPCC and fused them by Deep Belief Networks (DBNs). Experimental results on Berlin emotional speech database show that the proposed fused feature with W-WPCC is more suitable in speech emotion recognition under noisy conditions than other acoustics features and proposed DBNs feature learning structure combined with W-WPCC improve emotion recognition performance over the conventional emotion recognition method. © 2016 ACM.

关键词： Emotion Recognition

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Estimation of image Jacobian Matrix with time-delay compensation based on Kalman filtering with colored noise 5

Estimation of image Jacobian Matrix with time-delay compensa...

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5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017

作者： Wang, Xinmei Liu, Zhenzhu Wei, Wu Liu, Feng School of Automation China University of Geosciences Hubei430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei430074 China College of Automation Science and Engineering South China University of Technology Guangzhou Guangdong510640 China

In order to compensate for the impact of time delay on the estimation of object feature point image and image Jacobian matrix and improve the control precision of image-based visual servo system, a Kalman filtering algorithm with colored noise is proposed to obtained the current motion state estimation of the feature point with time-delay compensation in the image space, then the accurate image Jacobian matrix under time delay can be obtained. For the above, the following work will be done in this paper: (1) the current motion state estimation of the feature point in the image space is predicted by Kalman filtering algorithm, combined with practical applications, measurement noise is usually as colored noise and can be regarded as a one-order Markov sequence excited by Gauss white noise, then a Kalman filtering recursive model can be derived according to the variance minimization principle of the estimation error;(2) to obtain the measurement vectors estimation which cannot be acquired in the Kalman filtering model owing to the existence of time delay, the relationship between the motion state of the feature point at the prior and later point is established, and a polynomial is fitted by using some of the observed data under the relationship to realize the measurement vectors estimation in the time-delay period. Thus the estimation of the motion state of the feature point at the current time in the image space can be obtained, and the estimation of image Jacobian matrix with time-delay compensation can be obtained. Experimental results validate the feasibility and superiority of this method.

关键词： Time delay

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