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2021 IEEE International Conference on Mechatronics (ICM)最新文献

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Wideband Backforward-Drivability Motor Drive Based on Fast Current Control of Geared SPMSM 基于齿轮传动永磁同步电机快速电流控制的宽带反向驱动电机驱动
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385622
Y. Yokokura, K. Ohishi
This paper achieves the wideband backforward-drivability motor drive of Geared surface permanent magnet synchronous motor (SPMSM) modelled as a two inertia resonant system. The control bandwidth of a resonance-ratio-control-based torsion torque controller cannot be broadened due to weak robust stability against gear stiffness variation. To solve the problem with regard to the robust stability, the control bandwidth of the current control system is broadened by using the low-latency space vector pulse width modulation, integrator-less regulators, and accurate parameter identifications. This paper achieves 4 kHz bandwidth of current control and realizes the wideband torsion torque control based on “final integrator cascade scheme.” Even though the gear stiffness variation occurs, the control bandwidth of the outer torsion torque control is set to high frequency. As a result, this paper enhances the backforward-drivability of the geared SPMSM. The experimental results of the current control system and the simulation results of backforward-drivability control confirm that the torsion torque control with fast current control is effective.
本文将齿轮传动面永磁同步电动机(SPMSM)建模为双惯量谐振系统,实现了宽带反向驱动电动机的驱动。基于共振比控制的扭矩控制器由于对齿轮刚度变化的鲁棒稳定性较弱而无法扩大控制带宽。为了解决鲁棒稳定性方面的问题,采用低延迟空间矢量脉宽调制、无积分器调节器和精确的参数辨识,拓宽了电流控制系统的控制带宽。本文实现了4 kHz带宽的电流控制,并基于“最终积分器级联方案”实现了宽带扭转转矩控制。即使齿轮刚度发生变化,外扭转矩控制的控制带宽也被设置为高频。结果表明,本文提高了齿轮传动SPMSM的后向驱动性能。电流控制系统的实验结果和后向驱动控制的仿真结果证实了采用快速电流控制的转矩控制是有效的。
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引用次数: 0
Multi Functional Drill Incorporating Linear Motor for Haptic Surgical Instrument and Simulator 用于触觉手术器械及模拟器的多功能直线电机钻头
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385623
T. Matsunaga, T. Shimono, K. Ohnishi, Shunya Takano, Hironao Kobayashi, M. Yagi, M. Nakamura
In orthopedic surgery, tasks to cut the vertebra by surgical drills involve the risk of the spinal cord injury. Since the spinal cord injury causes motor and sensory disorder to patients, orthopedists who perform spine surgery must have skills to achieve tasks using surgical drills. Although robotic technologies is being applied to orthopedic surgical operations, support for surgeons in delicate tasks requiring surgeon's skills is insufficient. In this study, a multi functional drill available for both a surgical instrument and a simulator is presented. A linear motor incorporated in the proposed device used as a surgical instrument provides support for operators, while measuring position information and estimating force information. Furthermore, environmental information can be abstracted by haptic information such as position and force information. Virtual environment reproduced by the environmental information is presented by the proposed device used as a simulator. The feasibility of the multi functional drill is confirmed by utilizing functions as a surgical instrument and a simulator.
在骨科手术中,通过手术钻头切割椎体的任务涉及脊髓损伤的风险。由于脊髓损伤会导致患者的运动和感觉障碍,因此进行脊柱外科手术的骨科医生必须具备使用手术钻头完成任务的技能。尽管机器人技术正在应用于整形外科手术,但在需要外科医生技能的精细任务中,对外科医生的支持是不够的。在本研究中,介绍了一种可用于手术器械和模拟器的多功能钻头。在作为手术器械使用的拟议装置中包含的直线电机为操作员提供支持,同时测量位置信息和估计力信息。此外,环境信息可以通过位置和力等触觉信息抽象出来。虚拟环境是由环境信息再现的虚拟环境,该设备被用作模拟器。多功能钻头作为手术器械和模拟器的功能验证了其可行性。
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引用次数: 3
Detection of Reduced Magnetic Attraction Force Using a Disturbance Observer for Crawler Robots 基于扰动观测器的履带机器人磁力减弱检测
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385660
Natsuki Kageyama, Takeshi Nishimura, T. Itoh, T. Atsumi, S. Nakadai
This paper presents an estimation method for the magnetic attractive force between a crawler robot and a moving surface. The robot has crawlers which have magnets to climb a wall. However, there is a problem that the robot may fall when the magnetic attraction force becomes weak. To solve this problem, we employ a disturbance observer in the control system of the crawler drive motor. The experimental results confirmed that the proposed method can detect the risk of falling due to the decreasing the magnetic attraction force between the crawler robot and the moving surface.
提出了一种履带机器人与运动表面之间磁力的估计方法。机器人的爬行器上有磁铁来爬墙。然而,存在一个问题,即当磁力变弱时,机器人可能会坠落。为了解决这一问题,我们在履带驱动电机的控制系统中引入了扰动观测器。实验结果表明,由于履带机器人与运动表面之间的磁力减小,所提出的方法可以检测出机器人坠落的危险。
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引用次数: 0
Application of Limited Pole-Placement Method to State Feedback System 有限极点放置法在状态反馈系统中的应用
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385646
Y. Urakawa
Digital control systems often have delay factors for practical use. Although these delays are assumed to be sufficiently small, in many cases, they should not be ignored because calculation delays occur in at least one sampling period. Such delays in the digital control system make the control system vibrational. If the servo bandwidth is widened, a delay makes the system unstable. Thus, the author proposes a limited pole-placement method to make the system less vibrational and to analyze the limit of the servo bandwidth arising from the delay. In this study, the LPP method is applied to a state feedback system. A simulated example of a two-mass resonant system is shown.
数字控制系统在实际应用中往往具有延迟因素。尽管假设这些延迟足够小,但在许多情况下,它们不应该被忽略,因为计算延迟至少发生在一个采样周期中。数字控制系统中的这种延迟使控制系统产生振动。如果伺服带宽被加宽,延时会使系统不稳定。因此,作者提出了一种限制极点放置的方法,使系统减少振动,并分析了由延迟引起的伺服带宽的极限。本研究将LPP方法应用于状态反馈系统。给出了一个双质量谐振系统的仿真例子。
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引用次数: 1
A Study on Performance and Stability of Current Control Systems by Using Multi-Level Inverters 基于多级逆变器的电流控制系统性能及稳定性研究
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385610
Shota Kuroda, K. Natori, Yukihiko Sato
In motion control systems, detailed characteristics of power converters are usually not considered. Practically, voltage ripple, harmonics, and electromagnetic interferences (EMI) generated in widely used 2-level inverters become concerns to realize a high-performance control. Compared with 2-level inverters, multi-level (ML) inverters essentially reduce these problems. Furthermore, the equivalent carrier frequency of N-Ievel ML inverters is expected to be N-l times higher than that of the 2-level inverters in case that a carrier phase-shifted modulation is utilized. This paper focuses on the equivalent carrier frequency and studies the performance and stability of current control systems by using ML inverters.
在运动控制系统中,通常不考虑功率变换器的详细特性。在实际应用中,为了实现高性能控制,广泛使用的2电平逆变器产生的电压纹波、谐波和电磁干扰(EMI)成为人们关注的问题。与2级逆变器相比,多电平(ML)逆变器从根本上减少了这些问题。此外,在使用载波移相调制的情况下,n级ML逆变器的等效载波频率预计比2级逆变器高n - 1倍。本文从等效载波频率入手,研究了基于ML逆变器的电流控制系统的性能和稳定性。
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引用次数: 1
In-Vehicle Traffic Light based on Local Area Network 基于局域网的车载交通灯
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385657
Yunshun Zhang, Qishuai Xie, R. Zheng, Minglei Gao, Yingfeng Cai
The safety of intelligent vehicles has always been the focus of the society. While pursuing driving pleasure, drivers pay more attention to whether intelligent vehicles can bring a safe and well-controlled road experience. Safety depends on drivers' driving habits, but a well-equipped transportation system and the auxiliary equipment in intelligent vehicles cannot be ignored. The interaction between traditional vehicles and signal lights mainly depends on the drivers' eyes, but the influence of front large truck, signal lamp malfunction and other external factors may cause some interference under the process of the information exchange. Human observation is real-time but in-vehicle traffic lights are ahead of the observation, making drivers decide to pass the intersection or slow down. We proposed an in-vehicle signal reveal system to assist drivers at intersections based on Local Area Network (LAN). Firstly, Android smart phones are used to simulate the process of vehicle (client) interaction with signal lights (terminal). When the vehicle arrives at the middle of two intersections, it will proactively transmit its position information to the traffic lights. The traffic lights will send the current traffic signal operating information to the vehicle through processing the vehicle position, and finally implement in-vehicle traffic lights. The advance warning of the signal lights in the car can effectively shorten the reaction time of drivers, for improving driving attention and avoiding fatigue driving. Meanwhile, the proposed promising complement with autonomous environment perception can significantly promote the development of assisted driving as well as automatic driving technologies. Even through V2V communication, traffic lights on the network can be formed at intersections where the display of traffic lights are blocked or damaged, for improving the safety of driving as well as reducing traffic disturbance.implement in-vehicle traffic lights. The advance warning of the signal lights in the car can effectively shorten the reaction time of drivers, for improving driving attention and avoiding fatigue driving. Meanwhile, the proposed promising complement with autonomous environment perception can significantly promote the development of assisted driving as well as automatic driving technologies. Even through V2V communication, traffic lights on the network can be formed at intersections where the display of traffic lights are blocked or damaged, for improving the safety of driving as well as reducing traffic disturbance.
智能汽车的安全性一直是社会关注的焦点。驾驶员在追求驾驶乐趣的同时,更关注智能汽车能否带来安全、可控的道路体验。安全取决于驾驶员的驾驶习惯,但智能车辆中配备完善的交通系统和辅助设备也不容忽视。传统车辆与信号灯的交互主要依靠驾驶员的眼睛,但在信息交换的过程中,前方大货车的影响、信号灯故障等外部因素可能会造成一定的干扰。人类的观察是实时的,但车内交通灯在观察之前,让司机决定通过交叉路口还是减速。提出了一种基于局域网的十字路口车载信号显示辅助系统。首先,利用Android智能手机模拟车辆(客户端)与信号灯(终端)的交互过程。当车辆到达两个十字路口的中间位置时,它会主动将自己的位置信息发送给交通灯。交通灯通过对车辆位置的处理,将当前交通信号运行信息发送给车辆,最终实现车载交通灯。车内信号灯的预警可以有效缩短驾驶员的反应时间,提高驾驶注意力,避免疲劳驾驶。同时,所提出的与自主环境感知的有希望的互补,可以显著促进辅助驾驶和自动驾驶技术的发展。即使通过V2V通信,也可以在交通信号灯显示受阻或损坏的十字路口形成网络上的交通信号灯,以提高驾驶安全性,减少交通干扰。实施车载交通信号灯。车内信号灯的预警可以有效缩短驾驶员的反应时间,提高驾驶注意力,避免疲劳驾驶。同时,所提出的与自主环境感知的有希望的互补,可以显著促进辅助驾驶和自动驾驶技术的发展。即使通过V2V通信,也可以在交通信号灯显示受阻或损坏的十字路口形成网络上的交通信号灯,以提高驾驶安全性,减少交通干扰。
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引用次数: 0
Adaptive Cutting Force Observer for Machine Tool Considering Stage Parameter Variation 考虑阶段参数变化的机床自适应切削力观测器
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385598
K. Ohno, H. Fujimoto, Yoshihiro Isaoka, Yuki Terada
Monitoring cutting force generated during the machining process is crucial to prevent tool breakage and chattering. The cutting force observer, which considers the machine tool as the two-inertia system, has been proposed to estimate cutting forces in wide bandwidth using multiple encoders. However, modeling errors and the parameter variation during machining can deteriorate estimation accuracy in such a model-based observer. Previous studies solved some modeling error issues, but inertia, friction, and other parameters that belong to the moving stage had rarely considered. Therefore, the adaptive cutting force observer is proposed in this paper. The proposal consists of online stage parameter identification and updating algorithm. The effectiveness of the proposed adaptive observer is demonstrated through the experiments using the simplified experimental setup.
监测加工过程中产生的切削力是防止刀具断裂和颤振的关键。提出了一种考虑机床为双惯量系统的切削力观测器,利用多编码器在宽带宽下估计切削力。然而,在这种基于模型的观测器中,建模误差和加工过程中的参数变化会降低估计精度。以往的研究解决了一些建模误差问题,但很少考虑惯性、摩擦等属于运动阶段的参数。为此,本文提出了自适应切削力观测器。该方案包括在线舞台参数辨识和更新算法。在简化的实验装置上进行了实验,验证了自适应观测器的有效性。
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引用次数: 3
Observer-based Angle of Attack Estimation for Tilt-Wing eVTOL Aircraft 基于观测器的倾翼垂直起降飞机攻角估计
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385670
Kentaro Yokota, H. Fujimoto, Hiroshi Kobayashi
Research and development have been very active in electric vertical takeoff and landing (eVTOL) aircraft. Tilt-Wing aircraft especially receive significant attention as one of the most efficient configurations; however, they are apt to be unstable during the transition from hover to cruise. The angle of attack (AoA) is a critical parameter for aircraft motion, and with its real-time data, Tilt-Wing aircraft would achieve a more robust transition. Conventional methods of obtaining AoA require either additional sensors or an aircraft model, which is not robust to propeller slipstreams and unsuitable for Tilt-Wing aircraft. In this paper, a new AoA estimation method for Tilt-Wing aircraft is proposed. The proposed method is based on the propeller dynamics model and requires only an existing pitot tube. Wind tunnel tests verify its effectiveness.
电动垂直起降(eVTOL)飞机的研究和开发非常活跃。倾斜翼飞机作为最有效的配置之一尤其受到重视;然而,它们在从悬停到巡航的过渡过程中容易出现不稳定。迎角(AoA)是飞机运动的关键参数,有了它的实时数据,倾翼飞机将实现更稳健的过渡。传统的AoA获取方法要么需要额外的传感器,要么需要飞机模型,而这种方法对螺旋桨滑流的鲁棒性不强,也不适用于倾翼飞机。提出了一种新的倾斜翼飞机AoA估计方法。该方法基于螺旋桨动力学模型,只需要一个现有的皮托管。风洞试验验证了其有效性。
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引用次数: 1
A Deep Learning-based Approach to Line Crossing Prediction for Lane Change Maneuver of Adjacent Target Vehicles 基于深度学习的相邻目标车辆变道机动过线预测方法
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385665
Xulei Liu, Ge Jin, Yafei Wang, Chengliang Yin
Forecasting the motion of surrounding vehicles is a key issue for autonomous vehicles to assess potential risks and avoid collisions. Among them, the sharp lane change of vehicle in adjacent lane has a greater impact on the ego vehicle. In this paper, we propose a deep learning-based approach to predict the lane change maneuver of adjacent vehicles and quantitatively estimate the position and time to line crossing point (PTLC). In order to distinguish the real lane change from an unintentional drifting between lane boundaries and make accurate prediction of the line crossing point, the features of vehicle kinematics and the driver's driving style as well as the interaction with surrounding vehicle are extracted. Furthermore, a deep neural network is used to process and fuse these features to obtain the probability distribution of PTLC, in which a gated recurrent units (GRU) is adopted as an improvement to robustly learn the historical trajectory of the adjacent target vehicle. Experiments using the data collected from highways show that the proposed method can achieve a reliable prediction of the driver's intention and line crossing point.
预测周围车辆的运动是自动驾驶汽车评估潜在风险和避免碰撞的关键问题。其中,相邻车道车辆急剧变道对自我车辆的影响较大。在本文中,我们提出了一种基于深度学习的方法来预测相邻车辆的变道机动,并定量估计到线交叉点(PTLC)的位置和时间。为了区分真正的变道和车道边界之间的无意漂移,准确预测车道交叉点,提取了车辆运动学特征、驾驶员驾驶风格特征以及与周围车辆的相互作用特征。然后,利用深度神经网络对这些特征进行处理和融合,得到PTLC的概率分布,其中采用门控循环单元(GRU)作为改进,鲁棒学习相邻目标车辆的历史轨迹。实验结果表明,该方法能较好地预测驾驶员意图和过线点。
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引用次数: 2
Suppressing spatially distributed disturbances by exploiting additional sensors and actuators in inferential motion control 在推理运动控制中利用附加传感器和致动器抑制空间分布的干扰
Pub Date : 2021-03-07 DOI: 10.1109/ICM46511.2021.9385648
N. Dirkx, T. Oomen
Structural deformations resulting from exogenous disturbances limit the control performance in high-precision positioning systems. The aim of this paper is to identify these limitations and mitigate these through multivariable inferential control. A systematic analysis and control design framework is established. Herein, additional sensors and actuators are exploited to achieve control performance beyond conventional limits. Successful performance enhancement using the presented methods is shown on an identified wafer stage model.
在高精度定位系统中,由外源扰动引起的结构变形限制了系统的控制性能。本文的目的是识别这些限制,并通过多变量推理控制减轻这些限制。建立了系统的分析与控制设计框架。在此,利用附加的传感器和执行器来实现超出常规限制的控制性能。在一个已确定的晶圆级模型上显示了使用所提出的方法成功地提高了性能。
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引用次数: 1
期刊
2021 IEEE International Conference on Mechatronics (ICM)
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