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International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)

作者： Hongyu Zhang Zhikun Zhan Yuliang Zhao Xiaopeng Sha Xiaodong Yu Hui Sun Lijia Gu Jiali Liu Lianqing Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China State key Laboratory of Robotics Chinese Academy of Sciences

ISBN: (纸本)9781538694091;9781538694084

This paper reports a novel electrochemical method for the detection of insulin in ultra-pure water. A screen printed electrode (SPE) modified by Nickel hydroxide was used as the working electrode, one with good activity of electro-catalytic oxidation-reduction for insulin. The SPE was modified by Nickel hydroxide using the electrodeposition method. The results showed that Nickel hydroxide was homogeneously electrodeposited on the surface of the working electrode. A coin-size electrolytic tank was fabricated with PDMS, which only requires 0.3ml of sample for the detection. The concentration of insulin was analyzed using the methods of Cyclic voltammetry (CV), Electrochemical impedance spectroscopy (EIS) and Chronoamperometry (i-t). The Nickel hydroxide used for detecting insulin showed good analytical characteristics, such as a high sensitivity of 14.797μA·μM -1 , a good linear detection range of 100nM-5μM, and a low detection limit of 93nM. This nickel hydroxide modified SPE electrode has a much smaller size and is easier to fabricate than traditional electrodes, making it a much more promising candidate for an insulin sensor.

关键词： Electrodes Insulin Nickel Oxidation Sensitivity Surface treatment Diabetes

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Multi-dimension and multi-modal rolling mill vibration prediction model based on multi-level network fusion

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Journal of Central South University 2024年第9期31卷 3329-3348页

作者： CHEN Shu-zong LIU Yun-xiao WANG Yun-long QIAN Cheng HUA Chang-chun SUN Jie School of Electrical Engineering Yanshan UniversityQinhuangdao 066004China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan UniversityQinhuangdao 066004China Shougang Jingtang United Iron&Steel Co. Ltd.Tangshan 063200China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China

Mill vibration is a common problem in rolling production,which directly affects the thickness accuracy of the strip and may even lead to strip fracture accidents in serious *** existing vibration prediction models do not consider the features contained in the data,resulting in limited improvement of model *** address these challenges,this paper proposes a multi-dimensional multi-modal cold rolling vibration time series prediction model(MDMMVPM)based on the deep fusion of multi-level *** the model,the long-term and short-term modal features of multi-dimensional data are considered,and the appropriate prediction algorithms are selected for different data *** on the established prediction model,the effects of tension and rolling force on mill vibration are *** the 5th stand of a cold mill in a steel mill as the research object,the innovative model is applied to predict the mill vibration for the first *** experimental results show that the correlation coefficient(R^(2))of the model proposed in this paper is 92.5%,and the root-mean-square error(RMSE)is 0.0011,which significantly improves the modeling accuracy compared with the existing *** proposed model is also suitable for the hot rolling process,which provides a new method for the prediction of strip rolling vibration.

关键词： rolling mill vibration multi-dimension data multi-modal data convolutional neural network time series prediction

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Respiratory Rate Measurement Method Based on Singular Value Decomposition

Respiratory Rate Measurement Method Based on Singular Value ...

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2023 China Automation Congress, CAC 2023

作者： Chu, Dongting Liu, Bingyou Wan, Guoyang Qi, Jingjing Wan, Luanfei College of Electrical Engineering Anhui Polytechnic University Wuhu China Anhui Polytechnic University The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu China Wuhu Hit Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

ISBN: (纸本)9798350303759

In order to enhance the measurement accuracy of respiratory rate, a respiratory rate measurement method based on high-speed vision is presented in this paper. Initially, a high-speed camera is utilized to capture the experimenter's chest breathing movement video sequence, and singular value decomposition (SVD) is applied to extract the displacement resulting from respiratory movement. However, the extracted motion waveform contains some noise signals due to the poor denoising capabilities of SVD. To address this issue, an improved wavelet denoising approach is proposed in this paper to enhance the accuracy of respiratory measurement frequency. Finally, the respiratory frequency measurement method based on high-speed vision is simulated and experimented, and the respiratory rate is calculated through spectral analysis. The experiments indicate that the proposed method can accurately extract the respiratory displacement signal and effectively denoise it, making it convenient for practical use. © 2023 IEEE.

关键词： High speed cameras

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Research on Denoising Method Based on Iterative SVD Decomposition

Research on Denoising Method Based on Iterative SVD Decompos...

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2023 China Automation Congress, CAC 2023

作者： Chu, Dongting Liu, Bingyou Wan, Guoyang Qi, Jingjing Wan, Luanfei College of Electrical Engineering Anhui Polytechnic University Wuhu China Ministry of Education Anhui Polytechnic University The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Wuhu China Wuhu Hit Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

ISBN: (纸本)9798350303759

In response to the poor denoising ability of Singular Value Decomposition (SVD), and the extracted motion waveform containing some residual noise signals, this paper proposes an iterative SVD decomposition denoising method. Firstly, the original signal is constructed into a binary recursive matrix form, and then SVD decomposition is used to obtain singular values with different contributions to the original matrix. Then, singular values with small contributions are discarded, while those with large contributions are retained. By modifying the signal reconstruction method, the denoised signal can be obtained once, and the required signal can be obtained by repeating the above process continuously. In simulation experiments and tuning fork vibration experiments, this article uses the iterative SVD decomposition denoising method and two existing denoising methods to denoise signals containing noise and uses signal-to-noise ratio (SNR) and root mean square error method (RMSE) as denoising performance indicators for data comparison, confirming the effectiveness and superiority of iterative SVD decomposition denoising method and its excellent denoising ability. In the tuning fork vibration experiment, the error between the measured results and the actual results is 0.3125%, proving that this denoising method has practical application value. © 2023 IEEE.

关键词： Singular value decomposition

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Based on multi-sensor information fusion circulating fluidized bed boiler combustion process clustering control research

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Advances in Information Sciences and Service Sciences 2012年第3期4卷 35-43页

作者： Ma, Yunfei Niu, Peifeng Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao 066004 China

Over the decade, due to the fact that the global energy resources are in deadly shortage, much emphasis is put on the energy consumption in thermal power throughout the world. Following developed is Circulating Fluidized Bed Boiler (CFBB) in recent years, a kind of combustion boiler that can clean and desulfurize the coal efficiently in the combustion process. Circulating Fluidized Bed Boiler (CFBB) is a control object with features of time varying parameters, large delay, and multivariable control tightly coupled. Noticeably, many factors influence the combustion process. This paper designs a three level ART2-BP-BP of data fusion--fusion cluster control system based on methods of multi-sensor information fusion and cluster analysis. It completes data fusion from the data level, the feature level to the decision level. Especially, the concept of Situation Threat Space aiming at the potential threats in CFBB is presented. Results of simulation show that the control system in this paper is feasible and effective, in particular, the control system still has more satisfactory control effect in the case of a variety of sensor failures.

关键词： Fluidized beds

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Distributed Time Synchronization under Bounded Noise in Wireless Sensor Networks

Distributed Time Synchronization under Bounded Noise in Wire...

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IEEE Annual Conference on Decision and control

作者： Jianping He Xiaoming Duan Peng Cheng Ling Shi Lin Cai The State Key Lab. of Industrial Control Technology Zhejiang University China The Department of Electric and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong The Department of Electrical & Computer Engineering at the University of Victoria BC Canada

ISBN: (纸本)9781467360890

It is important and challenging to achieve accurate time synchronization in wireless sensor networks. Various noises, e.g., communication delay, clock fluctuation and measurement errors, are inevitable and hard to be estimated accurately, which is the main challenge for achieving an accurate time synchronization. In this paper, we focus on how to achieve accurate time synchronization by considering a practical noise model, bounded noise, which may not satisfy any known distributions. The principle that a bounded monotonic sequence must possess a limit and the concept of maximum consensus are exploited to design a novel time synchronization algorithm for the network to achieve accurate synchronization under bounded noise. The proposed algorithm is fully distributed, with high synchronization accuracy and fast convergence speed, and is able to compensate both clock skew and offset simultaneously. Moreover, we prove that the algorithm converges with probability one, which means that time synchronization is achieved completely, and the probability of the complete synchronization converges exponentially.

关键词： Synchronization Noise Estimation Accuracy Clocks Protocols Wireless sensor networks

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An Improved Model Predictive control of Wave Energy Converters Based on Weighted Optimization of Objective Function

SSRN

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SSRN 2023年

作者： Wang, Zhenchun Wang, Nianguo School of Electrical Engineering Yanshan University Qinhuangdao066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

This paper investigates the model predictive control (MPC) of a point-absorption sea wave energy converter (WEC). The dynamic model and information about upcoming waves serve as the foundation for MPC implementation, but building the plant model and forecasting waves will invariably introduce errors. As a result of this fact and the multi-step predictive optimization feature of MPC, a novel objective function based on the weighting factor is adopted in the MPC design, which has the following benefits: First, the weighting factor penalizes the objective function with errors at various steps in time, which can limit the adverse effects of uncertainties on the controller. Second, the weighting factor can better constrain the float displacement, ensuring the device’s safe operation. In addition, the weighting factor is optimized offline using a genetic algorithm, and its value changes depending on the sea state. The simulation results show the effectiveness of the proposed MPC strategy. © 2023, The Authors. All rights reserved.

关键词： Model predictive control

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A Novel A-ESO Composited Non-Recursive control Methodology for Complex High-Order Disturbed Nonlinear Systems

A Novel A-ESO Composited Non-Recursive Control Methodology f...

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Chinese control Conference (CCC)

作者： Cong Zhang Shiji Liu Shuang Liu School of Electrical Engineering Yanshan University Qinhuangdao Hebei China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao Hebei China

This paper mainly focuses on a disturbance rejection control methodology for a series of mismatched and matched disturbed complex systems. Firstly, a novel finite-time arbitrary-order extended state observer (A-ESO) is proposed to accurately estimate the system states, disturbances, and their corresponding order derivatives. And then, a novel concise nonrecursive control ideology utilizing all the estimations of A-ESO is proposed to strictly guarantee finite-time stability and convergence of the whole closed-loop system. Significantly, compared with the existing nonrecursive control methods, the essential characteristic is that all the estimation information is utilized to construct the composite controller. This will be tremendously conducive to cost-saving and promoting practical implementations.

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Active Disturbance Rejection control for Vibration Displacement Tracking System of Continuous Casting Mold Driven by Servo Motor

Active Disturbance Rejection Control for Vibration Displacem...

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第36届中国控制会议

作者： ZHANG Wenbo FANG Yiming LI Jianxiong MA Zhuang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

Active disturbance rejection control（ADRC） is applied in this paper to solve the problems of time-varying load torque disturbance,reduction ratio uncertainty and the initial deviation of the eccentric shaft mechanical zero,which exist in the continuous casting mold vibration displacement system driven by servo *** consists of three parts:tracking differentiator（TD）,extended state observer（ESO） and nonlinear state error feedback（NLSEF）.TD is responsible for the arrangement of the transition process of eccentric shaft angular displacement and extracts its differential signal,which makes eccentric shaft angular displacement change *** improve the tracking accuracy,a modified ESO is designed to estimate and compensate comprehensive disturbance of the control system,which enhances system anti-disturbance ability,And NLSEF is then developed to improve the rapidity and stability of the control ***,the simulation results are given to show that ADRC has the characteristics of fast response,high accuracy and strong robustness against the internal and external disturbances in the control system.

关键词： servo motor continuous casting mold vibration displacement system active disturbance rejection control

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Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

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Chinese control Conference

作者： Shuhuan Wen Jianhua Chen Zhen Li Ahmad B. Rad Kamal Mohammed Othman Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Engineering Sciences Simon Fraser University Surrey BC Canada

This paper proposes a fuzzy Q-learning (FQL) algorithm to solve the problem of the robot obstacle avoidance in unknown environment. FastSLAM algorithm is used to localize the position of the robot. Traditional Q-learning algorithm, optimized Q-learning algorithm, FQL algorithm are compared. The simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective.

关键词： Collision avoidance Path planning Convergence Humanoid robots Mobile robots Fuzzy sets

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