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2022 SICE International Symposium on Control Systems (SICE ISCS)最新文献

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Experimental Verification of the Feedback Linearization Plant-Input-Mapping Discretization 反馈线性化植物-输入映射离散化的实验验证
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754374
Ryuya Tsuchida, Keisuke Yagi, Y. Mori
The paper is concerned with the experimental verification of a digital redesign method for a class of nonlinear control systems, called the Feedback Linearization Plant-Input-Mapping (FL-PIM) method. The Plant-Input-Mapping provides the guaranteed stability in discretization of a linear feedback system for any non-pathological sampling interval. Our previous study shows that its possibility to integrate the feedback linearization law when some conditions satisfied. In the present study, we first simplify the structure of the FL-PIM controller to reduce the calculation cost. Then, the proposed FL-PIM method is verified through the experiment using a single-link elastic-joint robot.
本文对一类非线性控制系统的数字再设计方法进行了实验验证,该方法被称为反馈线性化植物-输入映射(FL-PIM)方法。植物输入映射为线性反馈系统的离散化提供了任何非病态采样间隔的稳定性保证。我们先前的研究表明,当满足某些条件时,反馈线性化律有可能被积分。在本研究中,我们首先简化了FL-PIM控制器的结构,以降低计算成本。然后,通过单连杆弹性关节机器人的实验验证了所提出的FL-PIM方法。
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引用次数: 0
Undershoot Response Analysis for Circular Path-Following Vehicle Control Based on Zeros in the Time-State Control Form 时间-状态控制形式中基于零的圆路径跟随车辆控制欠冲响应分析
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754517
Ryo Nakata, M. Tanemura, Y. Chida
In this study, we discuss the undershoot response in a circular path-following control of a vehicle based on the time-state control form. For a circular path-following control of a vehicle, rotational coordinate transformation is applied to the vehicle model. However, through numerical simulations, we found that undershoot responses occurred under certain initial conditions of the vehicle. The occurrence of undershoot responses indicates that the output in the transient response moves in the opposite direction to the step reference value and is related to the zeros of the transfer function. In this study, we focus on the zeros of the transfer function of the vehicle by applying rotational coordinate transformation to clarify the conditions for the undershoot responses.
在本研究中,我们讨论了基于时间状态控制形式的车辆循环路径跟踪控制中的欠冲响应。对于车辆的圆路径跟踪控制,对车辆模型进行旋转坐标变换。然而,通过数值模拟,我们发现在一定初始条件下,车辆会出现欠冲响应。欠冲响应的出现表明瞬态响应的输出与阶跃参考值方向相反,与传递函数的零点有关。在本研究中,我们将重点放在车辆传递函数的零点上,通过旋转坐标变换来阐明欠冲响应的条件。
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引用次数: 0
Robust fixed-time synchronization of uncertain fractional-order quaternion-valued neural networks 不确定分数阶四元数神经网络的鲁棒定时同步
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754525
Zhongwen Wu
In this article, the robust fixed-time synchronization of uncertain fractional-order quaternion-valued neural networks(FQVNNs) is studied. By using direct analytical method and quaternion-valued inequality, a criterion for robust fixed-time synchronization is established, and the settling time for robust fixed-time synchronization is explicitly reckoned. Finally, the validity of the conclusions is illustrated via one numerical example.
研究了不确定分数阶四元数神经网络(fqvnn)的鲁棒定时同步问题。利用直接解析法和四元数值不等式,建立了鲁棒定时同步的判据,并明确地计算了鲁棒定时同步的稳定时间。最后通过一个算例说明了所得结论的有效性。
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引用次数: 0
A thermal model-based engine on-off control in HEVs 基于热模型的混合动力汽车发动机开关控制
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754371
Wei Wang, Kai Zhao, Fuguo Xu, T. Shen
An Internal Combustion Engine (ICE) experiences increased friction loss and fuel injection in cold temperatures, which provides the potential to further improve the energy efficiency based on the control freedom in hybrid electric vehicles (HEVs). This paper presents an engine thermal model with the coefficients calibrated through bench tests under different engine operating points. Moreover, we propose an engine on/off strategy that considers both the power demand and engine temperature preservation. Simulation results verify that the proposed powertrain control with engine thermal dynamics can further improve the energy efficiency for HEVs.
在低温下,内燃机(ICE)的摩擦损失和燃油喷射会增加,这为混合动力电动汽车(hev)在控制自由度的基础上进一步提高能效提供了潜力。本文建立了发动机在不同工况下的热力模型,并通过台架试验标定了各系数。此外,我们还提出了一种同时考虑功率需求和发动机温度保持的发动机开/关策略。仿真结果表明,基于发动机热动力学的动力系统控制可以进一步提高混合动力汽车的能效。
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引用次数: 0
Douglas–Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC 应用PANOC的最优油耗问题的Douglas-Peucker分段仿射逼近
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754372
Hongjia Ou, Andreas Themelis, Yuno Tsuyoshi, T. Kawabe
In today’s world where complying with the requirements of a green economy is more and more imperative for technological progress, energy and fuel-efficient navigation is a topic of primary importance in industrial engineering. In the particular case of autonomous driving and cruise control, the inherent nonlinearity and complexity of the physical dynamics result in a highly nonconvex control problem, which becomes even more challenging if one is to further account for energy saving constraints. Leveraging on recent advancements, we propose a solution based on PANOC [19], a fast optimization solver which can cope with nonconvex problems and enjoys very low computational requirements, provided that some inner subproblems can be solved at negligible effort. In order to account for this binding requirement of the algorithm, we propose a piecewise affine approximation strategy for the fuel consumption model based on the Douglas– Peucker algorithm [7]. The effectiveness of the approach is showcased with numerical simulations on a real-time adaptive cruise control problem for fuel consumption optimization.
在当今世界,符合绿色经济的要求对技术进步越来越重要,节能和节油导航是工业工程中最重要的主题。在自动驾驶和巡航控制的特殊情况下,物理动力学的固有非线性和复杂性导致高度非凸控制问题,如果进一步考虑节能约束,这将变得更具挑战性。利用最近的进展,我们提出了一种基于PANOC的解决方案[19],这是一种快速的优化求解器,可以处理非凸问题,并且计算需求非常低,前提是一些内部子问题可以忽略不计地求解。为了考虑算法的这一约束要求,我们提出了基于Douglas - Peucker算法的油耗模型分段仿射近似策略[7]。通过对一个实时自适应巡航控制问题的油耗优化数值仿真,验证了该方法的有效性。
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引用次数: 1
A Gesture Recognition System for Cranes Using Deep Learning with a Self-attention Mechanism 基于深度学习和自注意机制的鹤类手势识别系统
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754520
Keigo Watanabe, Maierdan Maimaitimin, Kazuki Yamamoto, I. Nagai
This research is aimed at recognizing the gesture of a lifting coordinator and automating the operation of a crane by introducing a system with deep learning. This paper first explains the outline of a gesture recognition system, and describes skeletal detection and its accuracy improvement technique. Furthermore, a gesture recognition system is constructed using a 1DCNN, and the recognition accuracy is verified to be improved by introducing a self-attention mechanism.
本研究旨在通过引入深度学习系统,识别起重协调器的手势,实现起重机的自动化操作。本文首先阐述了手势识别系统的概要,并介绍了骨骼检测及其精度提高技术。在此基础上,利用1DCNN构建了手势识别系统,并通过引入自注意机制,验证了识别精度的提高。
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引用次数: 1
Aggressive Nonlinear Regulators for Nominally Linear Systems with Uncertainties and Nonlinearities 具有不确定性和非线性的名义线性系统的主动非线性调节器
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754369
L. Dritsas
This article is concerned with a robust control design framework with various degrees of aggressiveness for a certain class of uncertain nonlinear systems which are nominally linear, but suffer from matched disturbances and system uncertainties and both matched and unmatched nonlinearities. The LMI–based design of the linear part of the composite controller is based on the nominal linear system and is formulated as a multi–objective H-infinity minimization problem for disturbance rejection, performance (with various degrees of control aggressiveness) and minimization of the 2-norm of the state feedback gains. The design of the nonlinear part is based on Lyapunov redesign (the “unit vector” variant of Sliding Mode Control), which is a continuous nonlinear state feedback guaranteeing Uniform Ultimate Boundedness (UUB) of the closed–loop system. Explicit formulae are derived for the size of the UUB region and the Radius of the Attracting Ball (RAB), indicating a tradeoff between aggressiveness and chattering. The numerical example of a single input system demonstrates the efficacy of the proposed methodology.
本文研究一类名义上是线性的不确定非线性系统具有不同程度侵略性的鲁棒控制设计框架,这些系统受到匹配干扰和系统不确定性以及匹配和不匹配非线性的影响。基于lmi的复合控制器线性部分的设计是基于标称线性系统的,并被表述为一个多目标h∞最小化问题,用于干扰抑制、性能(具有不同程度的控制侵略性)和状态反馈增益的2范数最小化。非线性部分的设计基于Lyapunov再设计(滑模控制的“单位向量”变体),它是保证闭环系统一致最终有界性的连续非线性状态反馈。推导了UUB区域大小和吸引球半径的显式公式,表明了侵略性和抖振之间的权衡。单输入系统的数值算例验证了所提方法的有效性。
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引用次数: 1
A Nonlinear Discrete-time Model for Controlled Moment Gyroscope 可控力矩陀螺仪的非线性离散时间模型
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754375
R. Sakata, S. Kawai, Triet Nguyen-Van
A controlled moment gyroscope (CMG) is usually used as an actuator to control the attitude of artificial satellites and spacecrafts by applying the gyro effect. To design and analyze a digital controller of the CMG, it requires a discrete-time model, which can be derived by discretizing a continuous-time model. Since the CMG is nonlinear and has an affine constrain for a nonholonomic system, its linear approximation becomes uncontrollable and unavailable for control design. This paper proposed a discrete-time model for the CMG system, which does not use the linear approximation of the continuous-time model, by using a method called continualized discretization proposed. Simulation results show that the proposed model yields better performances than the conventional forward difference model in reproducing the dynamical characteristic of the continuous-time model, even for a large sampling interval and fast dynamical response.
控制力矩陀螺仪(CMG)是利用陀螺效应控制人造卫星和航天器姿态的常用作动器。为了设计和分析CMG的数字控制器,需要一个离散时间模型,该模型可以通过离散化连续时间模型得到。由于CMG是非完整系统的非线性和仿射约束,其线性逼近变得不可控,无法用于控制设计。本文采用连续化离散化方法,提出了一种不使用连续时间模型的线性逼近的CMG系统离散模型。仿真结果表明,即使在大采样间隔和快速动态响应的情况下,该模型在再现连续时间模型的动态特性方面也优于传统的正演差分模型。
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引用次数: 2
Adaptive control for H∞ tracking of uncertain dynamical systems 不确定动力系统H∞跟踪的自适应控制
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754370
Atsede G. Gebremedhin, Y. Fujisaki
An adaptive control is proposed for H∞ tracking of uncertain dynamical systems. A reference model which achieves a robust tracking in the presence of L2 disturbances is introduced by using H∞ control with transients. Then an adaptive control law is developed for uncertain dynamical systems, where it employs the specified reference model. It is shown that the boundedness of the error dynamics behaviors as well as zero tracking error in the steady state is guaranteed by the proposed adaptive control in the presence of disturbances and uncertainties. An explicit error bound of tracking is also established.
针对不确定动态系统的H∞跟踪问题,提出了一种自适应控制方法。利用带瞬态的H∞控制,提出了一种在L2扰动下实现鲁棒跟踪的参考模型。在此基础上,建立了不确定动力系统的自适应控制律,该律采用指定的参考模型。结果表明,在存在干扰和不确定性的情况下,所提出的自适应控制保证了误差动力学行为的有界性和稳态下的零跟踪误差。建立了明确的跟踪误差界。
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引用次数: 2
Bone surface extraction and dynamic tracking from ultrasound images by semantic segmentation 基于语义分割的超声图像骨表面提取与动态跟踪
Pub Date : 2022-03-08 DOI: 10.23919/SICEISCS54350.2022.9754521
Taiga Haba, Taku Itami, J. Yoneyama
In this study, our aim is to extract bone surface of the tibial from ultrasound images by using semantic segmentation and track the feature point of the extraction during knee flexion and extension automatically for dynamic tracking of the tibial movement in the horizontal plane. Automatic dynamic tracking is performed by approximating the bone surface extraction line to a cubic function curve and tracking the inflection point. The effectiveness of the proposed method is verified by analyzing the lower leg during knee flexion and extension by three healthy men in their 20s using ultrasound diagnostic device and confirming the physiological movement of screw-home movement(SHM) during knee flexion and extension movement. From the experimental results, SHM is confirmed during knee flexion and extension movements in each subject. Therefore, the proposed method of this study is effective in the dynamic tracking of the tibial bone surface.
在本研究中,我们的目的是通过语义分割从超声图像中提取胫骨骨表面,并自动跟踪提取的特征点,在膝关节屈伸过程中动态跟踪胫骨在水平面上的运动。通过将骨表面提取线近似为三次函数曲线并跟踪拐点来实现自动动态跟踪。通过对3名20多岁健康男性膝关节屈伸运动过程中小腿的超声诊断分析,确认膝关节屈伸运动过程中螺钉复位运动(SHM)的生理运动,验证了所提方法的有效性。从实验结果来看,SHM在每个受试者的膝关节屈伸运动中都得到了证实。因此,本研究提出的方法在胫骨骨面动态跟踪中是有效的。
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引用次数: 0
期刊
2022 SICE International Symposium on Control Systems (SICE ISCS)
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