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2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)最新文献

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Tip force tracking control based on the tendon-sheath transmission model and 3D reconstruction of a long slender rescue robot 基于肌腱鞘传递模型的细长救援机器人尖端力跟踪控制及三维重构
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496391
Jia Li, Xingsong Wang, Ruru Xi
Tendon-sheath actuated mechanism is widely adopted in many applications such as robot hands and surgical devices due to its small size, simple structure and light weight. However, there exist a lot of factors including the compliance and friction between the tendon and sheath which may contribute to the nonlinearity of the tendon-sheath system. In addition, the absence of sensors at distal end also sets a limit to the application of tendon-sheath. In this paper, a tendon-sheath-driven robot for searching and rescuing is introduced and the transmission models of tendon-sheath system are proposed. 3D reconstruction of tendon-sheath system is utilized for the identification of parameters involved in the model. Two methods are presented according to whether the sensor information at distal end can be obtained or not. In order to make up for the nonlinearity of the system, the sliding control method is adopted. Despite of the lack of feedback information, a combination of inverse compensation and sliding mode control is put forward. Furthermore, a set of experiments are carried out in order to validate our proposed models and methods.
腱鞘驱动机构具有体积小、结构简单、重量轻等优点,广泛应用于机械手、手术器械等领域。然而,肌腱-鞘系统的非线性存在许多因素,包括肌腱与鞘之间的柔度和摩擦。此外,远端传感器的缺失也限制了肌腱鞘的应用。介绍了一种肌腱鞘驱动的搜救机器人,提出了肌腱鞘系统的传动模型。利用肌腱鞘系统的三维重建来识别模型中涉及的参数。根据能否获取远端传感器信息,提出了两种方法。为了弥补系统的非线性,采用了滑动控制方法。针对反馈信息不足的问题,提出了逆补偿与滑模控制相结合的方法。此外,还进行了一组实验来验证我们提出的模型和方法。
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引用次数: 4
High back-drivable pseudo I-PD torque control using load-side torque observer with torsion torque sensor 基于负载侧转矩观测器和转矩传感器的高反驱动伪I-PD转矩控制
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496345
Yusuke Kawai, Y. Yokokura, K. Ohishi, Kotaro Saito, Atsushi Shimamoto
This paper proposes high back-drivable pseudo I-PD torque control using load-side torque observer with torsion torque sensor. According to previous research, the back-drivability of torsion torque control using torsion torque sensor depends on load-side friction. Therefore, the authors focus on load-side torque control. Load-side torque is estimated using load-side torque observer because load-side torque cannot be detected in this system. Using estimated load-side torque feedback, the back-drivability of the proposed method becomes infinite. The back-drivability of the three methods (i.e., P-D, I-PD, and pseudo I-PD) are compared using the simulation and experimental results. Finally, the simulation and experimental results verify the effectiveness of the proposed method.
本文提出了一种基于负载侧转矩观测器和转矩传感器的高反驱动伪I-PD转矩控制方法。根据以往的研究,利用扭矩传感器控制扭矩的反驱动性取决于负载侧摩擦。因此,作者将重点放在负载侧转矩控制上。由于该系统无法检测到负载侧转矩,因此采用负载侧转矩观测器估计负载侧转矩。利用估计的负载侧转矩反馈,该方法的反驱动性变得无限大。通过仿真和实验结果对比了P-D、I-PD和伪I-PD三种方法的反驱动性。最后,仿真和实验结果验证了所提方法的有效性。
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引用次数: 8
Shape reconstruction within an optical diffusion model 光学扩散模型内的形状重建
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496389
Yangjie Wei, Yuqing He
Shape reconstruction with an optical diffuser has some significant advantages such as high-precision depth estimation with a small lens, depth estimation for distant objects, and less sensitivity to lens aberrations. However, no optical diffusion model has been proposed to relate depth information to the basic principle of intensity distribution during optical diffusion. In this paper, heat diffusion equation in physics is introduced into optical diffusion, and a mathematic model of intensity distribution during optical diffusion is constructed. A high-precision shape reconstruction method with optical diffusion is proposed based on heat diffusion equation. First, an optical diffusion model is introduced to explain the basic principle of diffusion imaging process. Second, a novel shape reconstruction method based on global heat diffusion is proposed within our optical diffusion model. Finally, simulation with synthetic images and experiment with five playing cards are conducted, and the result proves the effectiveness and feasibility of the proposed method.
利用光学扩散器进行形状重建,具有小透镜深度估计精度高、远距离物体深度估计精度高、对透镜像差敏感度低等显著优点。然而,目前还没有提出将深度信息与光扩散过程中强度分布的基本原理联系起来的光学扩散模型。本文将物理中的热扩散方程引入到光扩散中,建立了光扩散过程中光强分布的数学模型。提出了一种基于热扩散方程的高精度形状重建方法。首先,介绍了光学扩散模型来解释扩散成像过程的基本原理。其次,在光学扩散模型的基础上,提出了一种基于全局热扩散的形状重构方法。最后,对合成图像进行了仿真,并对五张扑克牌进行了实验,结果证明了所提方法的有效性和可行性。
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引用次数: 0
Composite filter design and application to piezo-driven stage systems 复合滤波器在压电驱动舞台系统中的设计与应用
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496355
Daisuke Noda, K. Seki, M. Iwasaki
This paper presents a design approach for composite filters based on the displacement and acceleration sensor signals to cover the entire frequency range of motion in the plant. A target piezo-driven stage is installed the capacitive sensor to detect the accurate stage displacement, while the sensing system generally includes the phase delay due to the data conversion process and the lowpass filters in the amplifier to remove the sensor noise. In this paper, MEMS accelerometer signal is integrated into the displacement signal detected by capacitive sensor to improve the phase characteristic at high frequency range, where the composite filters for integrating two sensor outputs are generally designed considering a summation result as 1. According to the sensor characteristic, however, a simple filter design approach causes the deterioration of the output characteristic by the interference. In order to solve the problem, PQ method as a filter design guideline is adopted to compensate for the interference between the sensor outputs. The effectiveness of the design approach has been verified by experiments using the piezo-driven stage system.
本文提出了一种基于位移和加速度传感器信号的复合滤波器的设计方法,以覆盖工厂运动的整个频率范围。目标压电驱动级安装电容式传感器来检测准确的级位移,而传感系统一般包括由于数据转换过程产生的相位延迟和放大器中的低通滤波器来去除传感器噪声。本文将MEMS加速度计信号集成到电容式传感器检测的位移信号中,以改善其在高频范围内的相位特性,其中对两个传感器输出进行积分的复合滤波器一般考虑求和结果为1。然而,根据传感器的特性,简单的滤波器设计方法会导致输出特性因干扰而恶化。为了解决这一问题,采用PQ方法作为滤波器设计准则来补偿传感器输出之间的干扰。通过压电驱动舞台系统的实验验证了该设计方法的有效性。
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引用次数: 0
Development of magnetorheological fluid clutch for robotic arm applications 机械臂用磁流变液离合器的研制
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496401
M. A. Fernández, J. Chang
This paper presents the development of a permanent magnet-based magnetorheological fluid clutch for intended use in robotic arm applications, as well as other applications where compliance for human-robot interaction is of importance. The modelling of a cylindrical MR fluid-based clutch is presented, followed by design and verification processes. Finally, a prototype of the clutch is built along with a base apparatus to support the clutch and the other components such as the DC and stepper motor. This prototype was later used to study the torque-speed relationship of the clutch. The results of this study are presented at the end of the paper.
本文介绍了一种基于永磁的磁流变液离合器的发展,用于机械臂的应用,以及其他应用,其中人机交互的遵从性是重要的。介绍了一种基于磁流变液的圆柱形离合器的建模、设计和验证过程。最后,建立了一个离合器的原型,以及一个基础装置来支持离合器和其他组件,如直流和步进电机。该原型后来被用于研究离合器的转矩-速度关系。本文最后给出了本研究的结果。
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引用次数: 10
Active modeling for pneumatic artificial muscle 气动人工肌肉的主动建模
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496326
Daohui Zhang, Xingang Zhao, Jianda Han
In this paper, an active modeling approach for a pneumatic artificial muscle (PAM) is being considered. The PAM's nonlinearity, hysteresis and time-varying characteristics cause difficulties in modeling its behavior and designing high-performance controllers. Here, a generalized three-element model of a PAM is proposed to obtain the reference model in the reference mode (in a given small pressure range). The equivalent state space representation of the reference model is obtained by applying the linearization approach. The model error is introduced to the equivalent state space model, and the joint estimation is adopted to estimate the system state and the model error simultaneously. Experimental studies are conducted to demonstrate the existence of the model error, and verify the necessity of introducing the model error to the reference model, and evaluate the effect of the proposed active modeling approach in changing modes (not in the given pressure range).
本文研究了一种气动人工肌肉的主动建模方法。PAM的非线性、迟滞和时变特性给其行为建模和高性能控制器的设计带来了困难。为了得到参考模式下(给定小压力范围内)的参考模型,本文提出了PAM的广义三元模型。采用线性化方法得到参考模型的等效状态空间表示。将模型误差引入到等效状态空间模型中,采用联合估计同时估计系统状态和模型误差。通过实验研究证明了模型误差的存在性,验证了在参考模型中引入模型误差的必要性,并评价了所提出的主动建模方法在变模(非给定压力范围)下的效果。
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引用次数: 8
Design and control of a wearable active knee orthosis for walking assistance 用于行走辅助的可穿戴主动膝关节矫形器的设计与控制
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496327
Hui Shan, Chong Jiang, Yuliang Mao, Xingsong Wang
In the past decades, many wearable powered orthoses have been developed with the aim of augmenting or assisting motion activities in daily life. Among many applications, they are particularly used to provide lower-limb moving assistance in locomotion-related rehabilitation tasks. This paper presents a wearable active knee orthosis consisting of an active knee joint, a double-tendon-sheath transmission system and a control system. The active knee joint and the double-tendon-sheath transmission system are applied to reduce the weight of the orthosis and achieve preferable maneuverability. A PID controller is used to validate the feasibility of the orthosis, and a fuzzy controller is developed to perform the walking assistance experiments. Finally, two groups of EMG signal tests were conducted to verify the assisting effectiveness of the orthosis. The results obtained from the two EMG evaluation experiments demonstrate that the proposed orthosis can reduce muscular power consumption during walking and proved the usability of the whole system.
在过去的几十年里,许多可穿戴的动力矫形器被开发出来,目的是增强或协助日常生活中的运动活动。在许多应用中,它们特别用于在运动相关的康复任务中提供下肢运动辅助。本文介绍了一种可穿戴的主动膝关节矫形器,该矫形器由主动膝关节、双肌腱鞘传动系统和控制系统组成。采用主动膝关节和双肌腱鞘传动系统,减轻了矫形器的重量,获得了良好的机动性。采用PID控制器验证矫形器的可行性,开发模糊控制器进行辅助行走实验。最后进行两组肌电信号测试,验证矫形器的辅助效果。两组肌电图评价实验结果表明,所设计的矫形器可以减少行走时的肌肉能量消耗,证明了整个系统的可用性。
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引用次数: 10
Efficient people search and gesture recognition using a Kinect interfaced mobile robot 高效的人搜索和手势识别使用Kinect接口移动机器人
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496354
Robert Tubman, K. Arif
This paper describes the programming and application of human searching and gesture recognition using a neck-like swivel mechanism attached to a mobile robot Pioneer 3-DX interfaced with a Microsoft Kinect sensor. We utilize color, depth and skeleton data streams from the Kinect to find and track people for gesture commands to do basic robotic movements like wander around, follow-me etc. Our findings from experimental evaluation of the developed system suggest that mounting of the Kinect on a neck-like mechanism helps the robot efficiently search for a person and reduce the total accumulated error in its odometry compared to having the sensor fixed to the robot base. Overall, the developed platform is very robust and flexible in terms of expandability.
本文介绍了基于颈部旋转机构的移动机器人先锋3-DX的人体搜索和手势识别的编程和应用,该机构与微软Kinect传感器相连。我们利用Kinect的颜色、深度和骨架数据流来寻找和跟踪人们的手势指令,以完成基本的机器人动作,如四处走动、跟着我等。我们对开发的系统的实验评估结果表明,与将传感器固定在机器人基座上相比,将Kinect安装在脖子状的机构上有助于机器人有效地搜索人,并减少其里程表中累积的总误差。总的来说,开发的平台在可扩展性方面非常健壮和灵活。
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引用次数: 4
Rotation vector sensor-based remote control of a humanoid robot through a Google Glass 基于旋转矢量传感器的仿人机器人通过谷歌Glass远程控制
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496351
Xi Wen, Yu Song, Wei Li, Genshe Chen, B. Xian
This paper develops a Google Glass-based system to achieve hands-free remote control of humanoid robots. This system transforms operator's head movements into control instructions via a rotation vector sensor mounted on the Google Glass. When a head movement is detected, the corresponding control instruction is sent through WI-FI to the robot. In order to verify the system, this paper designs an experiment in which an operator navigates a Nao humanoid robot with obstacle avoidance. The result shows that the robot is able to smoothly pass by all obstacles and walk to the destination without need for operator's hands.
本文开发了一种基于谷歌glass的仿人机器人免提远程控制系统。该系统通过安装在谷歌玻璃上的旋转矢量传感器将操作员的头部运动转换为控制指令。当检测到头部运动时,通过WI-FI将相应的控制指令发送给机器人。为了验证该系统的有效性,本文设计了一个操作人员驾驶具有避障功能的Nao人形机器人的实验。结果表明,该机器人能够顺利通过所有障碍物,无需操作者的双手即可行走到目的地。
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引用次数: 8
Recurrent interval type-2 neuro-fuzzy control of an electro hydraulic servo system 电液伺服系统的循环区间2型神经模糊控制
Pub Date : 2016-04-22 DOI: 10.1109/AMC.2016.7496414
M. A. Khanesar, O. Kaynak
This paper presents a recurrent interval type-2 neuro-fuzzy controller which benefits from a sliding mode theory-based training algorithm. The recurrent interval type-2 neuro-fuzzy benefits from recurrent type-2 membership functions with interval variances which are trained by a novel training method. Furthermore, the adaptation laws considered for the parameters of the controller benefit from an adaptive learning rate. The stability of the proposed training method is considered using an appropriate Lyapunov function. The proposed method is simulated on an electro hydraulic servo system. The results of simulations show that the proposed method can control the system with a satisfactory performance.
本文提出了一种基于滑模理论的训练算法的循环区间2型神经模糊控制器。利用一种新颖的训练方法训练出具有区间方差的递归2型隶属函数,从而得到递归区间2型神经模糊。此外,对控制器参数所考虑的自适应律得益于自适应学习率。使用适当的李雅普诺夫函数来考虑所提出的训练方法的稳定性。在电液伺服系统上进行了仿真。仿真结果表明,所提出的控制方法能够达到满意的控制效果。
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引用次数: 8
期刊
2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)
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