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检索条件"机构=China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System"

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Position control of a Planar Four-Link Underactuated Manipulator

Position Control of a Planar Four-Link Underactuated Manipul...

引用

第37届中国控制会议

作者： Dong Liu Xuzhi Lai Yawu Wang Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A position control strategy by employing the model reduction and the cascade transformation is proposed for a planar four-link AAPA(Active-Active-Passive-Active) underactuated manipulator in this ***,a dynamics model of the system is ***,three controllers are designed based on the Lyapunov function to control the fourth active link from any initial angle to zero while the angles of the first and second active link remain their initial values,which makes the system is reduced to a planar virtual three-link AAP(Active-Active-Passive) underactuated ***,we obtain the new inputs of the cascade system of the planar virtual three-link AAP underactuated ***,we can get the controllers of the active links to realize the system position control *** results demonstrate the validity of the proposed control strategy.

关键词： Position control Model Reduction Cascade Transformation Underactuated Manipulator Lyapunov Function

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Quick and Effective Position control for Planar n-link Underactuated Manipulators Based on Optimization Algorithm

Quick and Effective Position Control for Planar n-link Under...

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第37届中国控制会议

作者： Pan Zhang Xuzhi Lai Yawu Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper,a simple one-stage control strategy is developed based on optimization algorithm to quickly realize the position control of a planar n-link（n ≥ 3） underactuated manipulator with a passive first *** continuous control of a planar three-link underactuated manipulator with a passive first joint can be realized,and so can the planar n-link（n ≥ 3） ***,one problem that the number of the variables needing to be optimized will increase with the increase of the number of the links will ***,considering the planar three-link manipulator can be controlled to reach to any target position,we employ the differential evolution（DE） algorithm to optimize the angles of only two active links and the design parameters of the corresponding ***,the angles and the corresponding design parameters of other n — 3 active links are kept being *** this way,all link angles can simultaneously converge to their target *** a planar four-link underactuated manipulator with a passive first joint as an example,the simulation results verify the effectiveness and rapidity of the proposed strategy.

关键词： Planar underactuated manipulators First-order nonholonomic system Differential Evolution algorithm Position control One-stage control

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A Prediction Model Based on SVR for Untwist Angle in Drilling Process

A Prediction Model Based on SVR for Untwist Angle in Drillin...

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第37届中国控制会议

作者： Dian Zhang Min Wu Luefeng Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

As slide steering technology has lower maintenance costs, it is widely used in geological drilling industry. In order to adjust the hole trajectory, this technology changes the drilling direction by controlling tool face angle of downhole power drill tool. However, due to the existence of the untwist angle, it is difficult to precisely control the angle, which will directly affect the quality of hole trajectory. So untwist angle prediction is the prerequisite of hole trajectory control. This paper introduces a common method for calculating untwist angle for generating the training set. And then factors that influence untwist angle will be analyzed. Meanwhile, based on the analysis and calculation results, support vector regression is introduced in the prediction algorithm to provide a new way for untwist angle prediction.

关键词： Downhole Drill Tool Bole Trajectory control Untwist Angle Support Vector Regression

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A Demand Analysis Method Based on TAKAGI-SUGENO Fuzzy Model for Drinking Service

A Demand Analysis Method Based on TAKAGI-SUGENO Fuzzy Model ...

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第37届中国控制会议

作者： Man Hao Weihua Cao Zhentao Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A demand analysis method based on TAKAGI-SUGENO（T-S） fuzzy model for drinking service is proposed to provide corresponding services according to users’ emotions and intentions in human-robot interaction,in which T-S fuzzy model is used to establish the relationship among human intention and human ***,the transformation of input and output is ***,fuzzy rules are formulated,and then fuzzy inference is applied to get user’s demand corresponding to emotion and *** proposal considers peoples fuzziness in inferring humans intention,which could help the robots to provide satisfied drinking service to *** validate the proposal,drinking service experiments are performed in a laboratory scenario using a humans-robots interaction system,from which the experimental results demonstrate the feasibility of the proposal.

关键词： Demand Analysis TAKAGI-SUGENO Model Drinking Service Human-Robot Interaction

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An Initiative Service Method with Regard to Degree of Sleepiness for Drinking Service Robot

An Initiative Service Method with Regard to Degree of Sleepi...

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第37届中国控制会议

作者： Zhen-Tao Liu Si-Han Li Wei-Hua Cao Man Hao Lin-Bo Xian School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

To ensure the efficiency of people’s work while working long hours,an initiative service method with regard to degree of sleepiness for drinking service robot is *** can recognize the degree of sleepiness and provide initiative service to increase the efficiency of people’s *** of sleepiness is defined as three levels by observer rating,which is supposed to be associated with human actions,environmental factors,and individual *** addition,a model of degree of sleepiness based on Finite State Machines（FSM） is *** relationship between human demands and degree of sleepiness is established through demand analysis model by which the initiative service with regard to degree of sleepiness for drinking service robot is *** on real initiative drinking service are performed in a multimodal emotional communication based on human-robot interaction（MEC-HRI） system,from which the experimental results show that the time of initiative service is 8 minutes earlier than that without initiative *** prospect,the proposal could be applied to other kinds of services such as health care,safety driving assistance,and other safety work assistance.

关键词： Service Robot Sleepiness Initiative Service Finite State Machines Human-Robot Interaction

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intelligent Mirror system Based on Facial Expression Recognition and Color Emotion Adaptation——iMirror

Intelligent Mirror System Based on Facial Expression Recogni...

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第37届中国控制会议

作者： Rui-Ping Yang Zhen-Tao Liu Li-Dong Zheng Jia-Peng Wu Cong-Cong Hu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

With the development of smart home, various appliances are becoming intelligent. In this paper, i Mirror, an intelligent mirror based on facial expression recognition and color emotion adaptation is proposed, which is considered as a human-mirror interaction system through real-time facial expression recognition and color lights control based on color emotion *** can not only work as a real mirror for personal grooming, but also record the mood of the user and adapt to it with color presentation. Experiments on facial expression recognition and color emotion adaptation are performed by ten students aged from 18 to 25, from which the experimental results show that i Mirror can effectively identify facial expressions and control light color, in addition, the results of a survey show that 87.7% experimenters agree to use colorful lights to adapt to facial expressions.

关键词： Smart Home Mirror Facial Expression Recognition Color Emotion Adaptation

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Piecewise control Strategy for a Planar Four-link Underactuated Manipulator with Friction

Piecewise Control Strategy for a Planar Four-link Underactua...

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第37届中国控制会议

作者： Haoqiang Chen Xuzhi Lai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A piecewise control strategy is proposed to realize the position-posture control of a planar four-link Active-PassiveActive-Active（APAA） underactuated manipulator（UM）. Specially, the particle swarm optimization（PSO） algorithm is used to obtain the target angle of all links based on the constraints of control objects of the system. The overall control process of the system is divided into two stages: Firstly, we design a fuzzy-PI controller for the first link to realize the control target of the passive link, and the error between the current angle and the desired angle of the passive link is converged to zero by adjusting the velocity of the first link. Secondly, the position mode of the servo controller is adopted to control the active links move to their target angles, respectively. Finally, the experimental results of the real system verify the effectiveness of the proposed control strategy.

关键词： underactuated manipulator planar four-link fuzzy-PI control position-posture control

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Research on Handwritten Alphabet Recognition system Based on Extreme Learning Machine

Research on Handwritten Alphabet Recognition System Based on...

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第37届中国控制会议

作者： Junlei Song Qi Liu Shengnan Tian Yi Wei Fang Jin Wenqin Mo Kaifeng Dong School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Aiming at the problems of slow recognition,low efficiency and degree of automation in handwritten letter recognition system at present,a handwritten letter recognition system based on extreme learning machine is designed in this *** system is implemented by mixed programming with M ATLAB and visual studio,it can reads,normalize,binarize and extract the handwritten letter *** real-time interactive recognition of handwritten letters can be realized on the basis of training the simple pictures by using the identification model of the extreme learning machine *** experimental results show that the handwriting recognition system based on extreme learning machine designed in this paper can recognize 98.82%of handwritten letters and greatly reduce learning and testing *** with BP neural network and other recognition algorithms,its training times have been reduced by hundreds or even thousands of *** the same time,there is no manual intervention in the entire learning and testing process,which improves the automation of handwriting recognition.

关键词： Handwritten Letter Recognition Extreme Learning Machine Feature Extraction Mixed Programming

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An Improved control Strategy for Directional Drilling Attitude

An Improved Control Strategy for Directional Drilling Attitu...

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第37届中国控制会议

作者： Zhen Cai Xuzhi Lai Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In the process of geological exploration, the development of automatic control is insufficient. The paper presents an improved strategy of attitude control for directional drilling tools used in the geological environment. The drilling kinematics model is linearized with the Taylor series, and the model linearization solves the nonlinear term of the azimuth *** PI controllers are used to control attitude inclination and azimuth, respectively. The results of the transient simulation are presented, and the control effect of improved performance are certificated.

关键词： Directional Drilling Drilling Tools Attitude control

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Optimization Method for Carbon Efficiency in the Green Manufacturing of Sinter Ore and Its Application

Optimization Method for Carbon Efficiency in the Green Manuf...

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第37届中国控制会议

作者： Kailong Zhou Xin Chen Weihua Cao School of Automation China University of Geoscience Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Sintering process is the second most energy-consuming process in steel making and the main energy consumption of the process is the combustion of carbon. Under the background of the transformation of the world’s major economies to the low carbon economy, to improve the carbon efficiency for saving energy and reducing undesired emissions is of great *** this paper, the comprehensive coke ratio（CCR） is taken as the index of the carbon efficiency. Mechanism analysis was carried out to analyze the influences of the CCR and a predictive model of the CCR based on back-propagation neural network（BPNN）is built that contains state parameters predictive model and the CCR predictive model. Then the optimization method for the CCR is formulated, which aims to minimize the CCR by optimizing the operating parameters. Finally, the method was implemented in an intelligent optimization and control system for carbon efficiency（IOCSCE） in an iron and steel plant. The running results show that the method can reduce the CCR by an average of 1.98 kg/t and effectively reduce the energy consumption of the sintering process. Thus, it can provide guidance for the operators of the sintering process and improve the carbon efficiency.

关键词： Sintering process Carbon efficiency Back-propagation neural network Optimization method intelligent optimization and control system

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