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2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)

作者： Yang Xu Chenguang Yang Junpei Zhong Hongbin Ma Lijun Zhao Min Wang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of Technology National Institute of Advanced Industrial Science and Technology School of Automation Beijing Institution of Technology State Key Laboratory of Robotics and System Harbin Institute of Technology

Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant,which is a complex and time-consuming *** this paper,we propose a novel method based on teleoperation which allows a demonstrator to train robot in an intuitive *** specifically,at the beginning the demonstrator controls a robot by visual *** then a learning algorithm based on radial basis function(RBF) network is used to transfer the demonstrator's motions to the *** verify the effectiveness of this developed methods,several simulation experiments have been carried out which based on Microsoft Kinect Sensor and the Virtual Robot Experimentation Platform(V-REP).The experimental results show that this method has achieved satisfactory *** the help of this method,the robot can not only complete the task autonomously after teaching,but also can learn the details of demonstrator's behavior.

关键词： Robot Teaching Teleoperation radial basis function(RBF) network

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Mechatronic Design of a Human Robot Coupling Interface for Teaching by Demonstration

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IFAC-PapersOnLine 2016年第21期49卷 675-680页

作者： Liang P. Yang C. Wang N. Li Z. Li R. State Key Lab of Robotics Systems Harbin Institute of Technology Harbin China Zienkiewicz Centre for Computational Engineering Swansea University Swansea United Kingdom Centre for Robotics and Neural Systems Plymouth University United Kingdom The MOE Key Laboratory of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou 510640 China

In this paper, we have developed a mechatronic human-robot coupling interface for kinaesthetic guidance based human robot teaching interface, by integration of a 6-axis force sensor, a coupling mechanism and wearable electromyography (EMG) arrays. Our design aims to transfer human operator's arm kinematics, force as well as human upper limb stiffness estimated from EMG signals to robot manipulators. Experiments have been carried out to test the teaching by demonstration performance of the coupling system in two scenarios: i) human teaching a robot for lifting up task; ii) human-robot skill transfer for one joint motion. Experimental results indicated that the coupling design nearly caused no disturbance to human upper limb stiffness estimation. Moreover, human arm kinematics and force/torque in task space can be transferred to the robot in a natural way with guaranteed safety. This coupling interface design can be easily extended to other robot platforms and has great potentials in application of human robot skill transfer. © 2016

关键词： electromyography (EMG) human robot coupling teaching by demonstration

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Sliding mode tracking control for miniature unmanned helicopters

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Chinese Journal of Aeronautics 2015年第1期28卷 277-284页

作者： Xian Bin Guo Jianchuan Zhang Yao Zhao Bo The Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and Automation Tianjin University

A sliding mode control design for a miniature unmanned helicopter is presented. The control objective is to let the helicopter track some predefined velocity and yaw trajectories. A new sliding mode control design method is developed based on a linearized dynamic model. In order to facilitate the control design, the helicopter＇s dynamic model is divided into two subsystems,such as the longitudinal-lateral and the heading-heave subsystem. The proposed controller employs sliding mode control technique to compensate for the immeasurable flapping angles＇ dynamic effects and external disturbances. The global asymptotic stability（GAS） of the closed-loop system is proved by the Lyapunov based stability analysis. Numerical simulations demonstrate that the proposed controller can achieve superior tracking performance compared with the proportionalintegral-derivative（PID） and linear-quadratic regulator（LQR） cascaded controller in the presence of wind gust disturbances.

关键词： unmanned sliding miniature compensate quadratic cascaded subsystem disturbance facilitate linearized

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Adaptive Backstepping Tracking Control of a 6-DOF Unmanned Helicopter

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IEEE/CAA Journal of Automatica Sinica 2015年第1期2卷 19-24页

作者： Bin Xian Jianchuan Guo Yao Zhang the Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University

This paper presents an adaptive backstepping control design for a class of unmanned helicopters with parametric uncertainties. The control objective is to let the helicopter track some pre-defined position and yaw trajectories. In order to facilitate the control design, we divide the helicopter's dynamic model into three subsystems. The proposed controller combines the backstepping method with online parameter update laws to achieve the control objective. The global asymptotical stability (GAS) of the closed-loop system is proved by a Lyapunov based stability analysis. Numerical simulations demonstrate that the controller can achieve good tracking performance in the presence of parametric uncertainties. © 2014 Chinese Association of Automation.

关键词： Backstepping Closed loop control systems Closed loop systems Controllers Flight dynamics Helicopters

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Teleoperation Control of Baxter Robot based on Human Motion Capture

Teleoperation Control of Baxter Robot based on Human Motion ...

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IEEE International Conference on Information and Automation

作者： Guangzhu Peng Chenguang Yang Yiming Jiang Long Cheng Peidong Liang Key Lab of Autonomous Systems and Networked Control Ministry of Education South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Robotics and System Harbin Institute of Technology China

ISBN: (纸本)9781509041039

The traditional 3D human motion capture methods require operators to wear tracking sensors on their body. However, these devices would bring operators much inconvenience. Currently, vision based motion capture systems provide us an alternative approach for motion capture technology. In this paper, based on human kinematics and function approximation technique (FAT), a novel method is presented for the trajectory control of Baxter robot. Each arm of the Baxter robot has seven degrees of freedom. The geometry vector approach is applied to capture human motion trajectory by using Microsoft Kinect sensor. A FAT control system is employed to make the robot follow the trajectory of human motion. The UDP communication protocol is employed to send the reference human joint angle data to the robot. We carry out preliminary experiments on Baxter robot to verify the validity of the control approach and the results demonstrate that the method has achieved satisfactory performance.

关键词： Teleoperation Control Baxter Robot Human Motion Capture

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Robust tracking control design for a flexible air-breathing hypersonic vehicle

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Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Hovering Control of a Nano Quadrotor Unmanned Aerial Vehicle Using Optical Flow 33

Hovering Control of a Nano Quadrotor Unmanned Aerial Vehicle...

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第三十三届中国控制会议

作者： XIAN Bin LIU Yang ZHANG Xu CAO Meihui Wang Fu The Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

ISBN: (纸本)9781479947249

In this paper, a PD controller which uses optical flow to obtain position and velocity feedback is proposed for the autonomous hovering flight control of a nano quadrotor unmanned aerial vehicle(UAV). The nano quadrotor UAV has a mass less than 100 g and is comparatively much smaller than the micro vehicles utilized in previous research. Due to the limited size and payload ability, a wireless camera is employed as the onboard visual device to obtain the position and translational velocity of the UAV. Experiment results are included to demonstrate the good control performance of the proposed design.

关键词： Nano Quadrotor UAV,Optical Flow,autonomous Control

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Immersion and Invariance based Adaptive Attitude Tracking Control of a Quadrotor UAV in the Presence of Parametric Uncertainty

Immersion and Invariance based Adaptive Attitude Tracking Co...

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第三十三届中国控制会议

作者： Bo Zhao Bin Xian Yao Zhang Xu Zhang The Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781479947249

In this paper, a new adaptive controller for a quadrotor unmanned aerial vehicle(UAV) is presented via Immersion and Invariance(I&I) approach. The quadrotor's dynamic model is subjected to some uncertain parameters such as the inertial moments, aerodynamic damping coefficients and so on. In particular, the mass-eccentric effects by the payloads are also *** all these uncertainties above, the proposed adaptive controller is still capable of driving the quadrotor UAV's attitude asymptotically to a desired trajectory. The stability analysis is performed by Lyapunov techniques and LaSalle's invariance theorem. Numerical simulation results illustrate the good tracking performance of the proposed scheme.

关键词： quadrotor,UAV,adaptive control,immersion and invariance,I&I

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in autonomous robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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A Continuous Robust Control Design for a Class of Non-Affine Nonlinear Dynamics with Non-varnishing Disturbance

A Continuous Robust Control Design for a Class of Non-Affine...

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American Control Conference

作者： Yao Zhang Bin Xian Bo Zhao Xiang Liu Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and Control Schoool of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9781479932757

In this paper, the problem for the control of a class of single-input-single-output (SISO) non-affine nonlinear system with non-varnishing disturbance is investigated. A continuous nonlinear feedback structure is utilized to tackle with the uncertain dynamics in the system. By taking the time derivative of the origin system, a transformed affine-like form is derived. The first order derivative of control input appears linearly in the augmented dynamics with unknown control direction. Nussbaum-type function is incorporated to estimate the unknown control direction. A revised Lyapunov based analysis is carried out to prove that under some moderate assumptions, the Semi-global Uniformly Ultimately Bounded (SGUUB) tracking result is achieved and all the closed loop signals are bounded. Numerical simulation results are presented to illustrate the performance of the proposed control law.

关键词： Radio frequency Nonlinear dynamical systems Stability analysis Trajectory Tracking loops Control design Equations

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