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Theoretical analysis of garden balsam optimization algorithm 园林香脂优化算法的理论分析
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-08 DOI: 10.1080/21642583.2022.2071778
Xiaohui Wang, Shengpu Li
Garden balsam optimization (GBO) is a new proposed evolutionary algorithm based on swarm intelligence. Convergence and time complexity analyses are very important in evolutionary computation, but the research on GBO is still blank. Same as other evolutionary algorithms, the optimization process of the GBO algorithm can be regarded as a Markov process. In this paper, a Markov stochastic model of the GBO algorithm is defined and used to prove the convergence of GBO algorithm. Finally, the approximation region of the estimated convergence time of GBO algorithm is calculated, which characterizes the evolution of the evolutionary process of the proposed algorithm.
Garden balsam optimization (GBO)是一种新的基于群体智能的进化算法。收敛性和时间复杂度分析在进化计算中非常重要,但对GBO的研究仍然是空白。与其他进化算法一样,GBO算法的优化过程可以看作是一个马尔可夫过程。本文定义了GBO算法的马尔可夫随机模型,并用该模型证明了GBO算法的收敛性。最后,计算了GBO算法估计收敛时间的近似区域,表征了该算法的演化过程。
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引用次数: 0
I–V characteristic and its fractal dimension for performance’s fault detection 性能故障检测的I-V特征及其分形维数
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-08 DOI: 10.1080/21642583.2022.2071779
Eduardo Trutié-Carrero, D. Seuret-Jiménez, J. Nieto-Jalil, J. Escobedo-Alatorre, J. A. Marbán-Salgado, A. Zamudio-Lara
Failures in photovoltaic systems are a major problem since they cause a decrease in the production of electrical energy. It is a challenge for the scientific community to obtain algorithms that adapt to existing systems, reducing the probability density of false positives. This paper solves this problem, presenting two contributions aimed at detecting faults in photovoltaic systems. The first contribution is aimed at a new algorithm based on non-coherent detection. Such algorithm is adaptable to any photovoltaic system and uses the box-counting procedure to estimate the fractal dimension of the normalized signal. The second contribution are to two equations that allow calculating the detection threshold under a failure prediction of suchalgorithm. The prediction of failures is based on a probability density of false positives set a priori. The algorithm was experimentally validated using 300 signals acquired from a photovoltaic system in series and parallel configurations. The results show that the algorithm had a behaviour, under a probability density of false positives of 2%, higher than those reported in the literature.
光伏系统的故障是一个主要问题,因为它们会导致电能生产的减少。获得适应现有系统的算法,降低误报的概率密度,对科学界来说是一个挑战。本文解决了这个问题,提出了两个旨在检测光伏系统故障的贡献。第一个贡献是针对一种基于非相干检测的新算法。这种算法适用于任何光伏系统,并使用盒计数程序来估计归一化信号的分形维数。第二个贡献是对两个方程的贡献,这两个方程允许在这种算法的故障预测下计算检测阈值。故障的预测是基于先验设置的假阳性的概率密度。该算法使用从串联和并联配置的光伏系统获得的300个信号进行了实验验证。结果表明,在2%的假阳性概率密度下,该算法的性能高于文献中报道的性能。
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引用次数: 0
New algorithm based active method to eliminate stick-slip vibrations in drill string systems 基于新算法的钻柱系统粘滑振动主动消除方法
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-08 DOI: 10.1080/21642583.2022.2047123
Fourat Zribi, L. Sidhom, Mohamed Gharib, S. Refaat
The drill string is always exposed to various types of vibrations among which, stick slip is one of the most important types. It is a severe state of torsional vibrations. This phenomenon can decrease the rate of penetration of drilling, wear of expensive equipment prematurely and cause catastrophic failures. In this paper, a novel adaptive sliding mode (SM) controller is proposed to eliminate stick slip in drill string systems. This proposed algorithm has a more robust capacity than existing 1st-order SM schemes in the literature regarding the robustness to parametric uncertainties, variations in weight on bit (WOB), variations in reference velocity and measurement noise. Moreover, the proposed controller does not require a priori knowledge of the upper bounds of parametric uncertainties, external disturbances and can be easily applied for any operating mode of the drill rig. A proof of stability based on the Lyapunov criterion of the system is given. Simulation results show that the proposed algorithm suppresses the stick-slip while keeping good performances compared to other SM controllers. A comparative study between the proposed controller and classic SM controllers and other adaptive SM scheme is performed in order to assess the advantages of the proposed algorithm and illustrate the overall performance improvements. The obtained results show that the proposed controller succeeded to eliminate the stick-slip phenomenon with the best performance compared to the classic SM controllers. In fact, the proposed controller presented a reduction of nearly 26 in terms of overshoot and 1.6 times better settling time values while having the smoother input signal.
钻柱经常受到各种形式的振动,其中粘滑是最重要的振动形式之一。这是一种严重的扭转振动状态。这种现象会降低钻井的钻进速度,使昂贵的设备过早磨损,并导致灾难性的故障。针对钻柱系统中的粘滑问题,提出了一种新的自适应滑模控制器。本文提出的算法在参数不确定性、钻头权重(WOB)变化、参考速度变化和测量噪声的鲁棒性方面比文献中现有的一阶SM方案具有更强的鲁棒性。此外,所提出的控制器不需要先验地知道参数不确定性和外部干扰的上界,可以很容易地应用于钻机的任何工作模式。给出了基于Lyapunov判据的系统稳定性证明。仿真结果表明,该算法在抑制滑脱的同时保持了较好的性能。为了评估所提出的算法的优点,并说明整体性能的改进,将所提出的控制器与经典SM控制器和其他自适应SM方案进行了比较研究。结果表明,与传统的SM控制器相比,所提出的控制器成功地消除了粘滑现象,并具有最佳的性能。事实上,所提出的控制器在具有更平滑的输入信号的同时,在超调方面减少了近26%,稳定时间值提高了1.6倍。
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引用次数: 0
Non-horizontal target measurement method based on monocular vision 基于单目视觉的非水平目标测量方法
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-04 DOI: 10.1080/21642583.2022.2068167
Jiajin Lang, Jiafa Mao, Ronghua Liang
With the development of computer vision technology, target measurement methods have been widely used in robot automatic obstacle avoidance, vehicle-assisted driving and other systems. There are many target measurement technologies available, but most of them are based on binocular or trinocular vision, or based on monocular vision with other auxiliary equipment, or based on monocular vision to measure horizontal target. The first two technologies achieve precise positioning by increasing the amount of data and sacrificing processing speed, while the third only studies the measurement method of the horizontal target. To address the complexity of the multi-equipment measurement methods and the limitation of the monocular measurement methods for horizontal target, this paper proposes a novel monocular vision measurement method for the non-horizontal target. According to the principle of camera imaging, internal and external parameters of the camera and analogue-to-digital conversion principle, the imaging relationship model for measuring the relative height and target distance of non-horizontal target is deduced, and the solvability of the model is demonstrated by mathematics. The experimental results verify the correctness and feasibility of this method.
随着计算机视觉技术的发展,目标测量方法在机器人自动避障、车辆辅助驾驶等系统中得到了广泛的应用。目标测量技术有很多,但大多数是基于双目或三眼视觉,或基于单眼视觉加上其他辅助设备,或基于单眼视觉测量水平目标。前两种技术通过增加数据量和牺牲处理速度来实现精确定位,而第三种技术只研究水平目标的测量方法。针对多设备测量方法的复杂性和水平目标单目视觉测量方法的局限性,提出了一种新的非水平目标单目视觉测量方法。根据相机成像原理、相机内外参数和模数转换原理,推导了测量非水平目标相对高度和目标距离的成像关系模型,并用数学方法证明了该模型的可解性。实验结果验证了该方法的正确性和可行性。
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引用次数: 2
Enterprise strategy analysis of synergy between cross-border e-commerce and logistics in a dynamic environment 动态环境下跨境电子商务与物流协同的企业战略分析
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-04 DOI: 10.1080/21642583.2022.2063200
C. Xue, Wen Wen, Shumin Li
In order to explore how cross-border e-commerce and logistics companies make decisions during synergy in a dynamic environment, this paper first establishes an evolutionary game model to study the influencing factors of enterprises’ strategies in the process of synergy in a dynamic environment. Then the study uses sensitivity analysis and numerical simulation to analyse the impact of different enterprises’ strategies on synergy. Finally, the synergistic strategies of enterprises in different dynamic environments are discussed. We found that: (1) capital and labour input of cross-border e-commerce platforms will affect the synergy. In a highly dynamic environment, the influences are greater. (2) There is a positive correlation between the technical level of the platform and synergistic degree, while the high technical level of logistics enterprises will inhibit synergy. However, in an unstable environment, the positive effect still exists, and the change in the logistics enterprise technology level has little effect on synergy. (3) The technical level of the cross-border e-commerce platform has the greatest impact on the benefits of both parties, and then is the lower cost of labour and capital input, while the technical level of logistics companies has little impact.
为了探索跨境电子商务和物流公司在动态环境下协同决策的方式,本文首先建立了一个进化博弈模型,研究了动态环境下企业协同过程中的战略影响因素。然后运用敏感性分析和数值模拟方法分析了不同企业战略对协同效应的影响。最后,讨论了企业在不同动态环境下的协同策略。我们发现:(1)跨境电商平台的资本和劳动力投入会影响协同效应。在高度动态的环境中,影响更大。(2) 平台的技术水平与协同程度呈正相关,而物流企业的高技术水平会抑制协同。然而,在不稳定的环境中,积极效应仍然存在,物流企业技术水平的变化对协同效应的影响很小。(3) 跨境电商平台的技术水平对双方利益的影响最大,其次是劳动力和资金投入的成本较低,而物流公司的技术水平影响较小。
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引用次数: 0
Physically meaningful Lyapunov modal contributions in linear systems 线性系统中有物理意义的李雅普诺夫模态贡献
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-05-01 DOI: 10.1080/21642583.2022.2068165
D. Kataev, E. Y. Kutyakov
This paper introduces a finite-time generalization of Lyapunov modal contributions (LMC) – a technique for energy-based selective modal analysis. The main focus is a case study involving a system with physically meaningful squared output and considering its unforced movement as transferring excessive energy towards its environment. This problem statement leads to LMCs estimating energy transfers measured in joules. The results facilitate solutions to several issues that occur in applications of methods based on Gramian spectral decomposition.
本文介绍了李雅普诺夫模态贡献(LMC)的有限时间泛化——一种基于能量的选择性模态分析技术。主要的焦点是一个案例研究,涉及到一个具有物理意义的平方输出的系统,并考虑到它的非强制运动将过多的能量转移到它的环境中。这个问题陈述导致lmc估计以焦耳为单位的能量转移。这些结果有助于解决基于格拉姆光谱分解方法应用中出现的几个问题。
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引用次数: 0
Time dependence of heart rate variability during treadmill running 跑步机跑步过程中心率变异性的时间依赖性
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-04-26 DOI: 10.1080/21642583.2022.2068166
Lars Brockmann, Hanjie Wang, K. Hunt
To investigate the time dependence of the heart rate variability (HRV) during treadmill running, a feedback control loop was implemented to eliminate the potentially confounding influence of cardiovascular drift. Without cardiovascular drift, observed changes in HRV can be directly attributed to time only and not to drift-related increases in heart rate. To quantify the time-dependence of HRV, standard HRV metrics for two consecutive windows of equal duration (12.5 min) were computed and compared. Eight participants were included. The outcome measures showed an overall tendency to decrease over time. Seven of the 10 HRV metrics were significantly lower (p<0.05); three HRV metrics showed moderate evidence of decrease over time, viz. average control power (p = 0.053), very-low frequency power (VLF) of the RR-signal (p = 0.072) and low frequency power (LF) of the RR-signal (p = 0.12). Taken together, these results provide evidence of a decrease in HRV over time during treadmill running; the employment of feedback control of heart rate is important as cardiovascular drift was eliminated. Further work is required to optimize the experimental design and to use a larger sample size to improve the statistical power of the results.
为了研究跑步机跑步过程中心率变异性(HRV)的时间依赖性,实施了反馈控制回路,以消除心血管漂移的潜在混杂影响。在没有心血管漂移的情况下,观察到的HRV变化可以直接归因于时间,而不是漂移相关的心率增加。为了量化HRV的时间依赖性,计算并比较了相等持续时间(12.5分钟)的两个连续窗口的标准HRV指标。包括八名参与者。结果指标总体上呈下降趋势。10个HRV指标中有7个显著降低(p<0.05);三个HRV指标显示出随着时间的推移而下降的适度证据,即平均控制能力(p = 0.053)、RR信号的极低频功率(VLF)(p = 0.072)和RR信号的低频功率(LF)(p = 0.12)。总之,这些结果提供了在跑步机跑步期间HRV随时间降低的证据;随着心血管漂移的消除,心率反馈控制的应用是重要的。需要进一步的工作来优化实验设计,并使用更大的样本量来提高结果的统计能力。
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引用次数: 1
Research on mine vehicle tracking and detection technology based on YOLOv5 基于YOLOv5的矿山车辆跟踪检测技术研究
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-04-22 DOI: 10.1080/21642583.2022.2057370
Kaijie Zhang, Chao Wang, X. Yu, A. Zheng, M. Gao, Zhenggao Pan, Guo-ji Chen, Zhiqi Shen
Vehicle tracking detection, recognition and counting is an important part of vehicle analysis. Designing such a model with excellent performance is difficult. The traditional target detection algorithm based on artificial features has poor generalization ability and robustness. In order to take use the deep learning method for vehicle tracking detection, recognition and counting, this paper proposes a vehicle detection method based on yolov5. This method uses the deep learning technology, takes the running vehicles video as the research object, analysis the target detection algorithm, proposes a vehicle detection framework and platform. The relevant detection algorithm of the platform designed in this paper has great adaptability, when displayed under various conditions, such as heavy traffic, night environment, multiple vehicles overlap with each other, partial loss of vehicles, etc. it has good performance. The experimental results show that the algorithm can accurately segment and identify vehicles according to the edge contour of vehicles. It can take use the materials includes pictures, videos, and real-time monitoring, and has a high recognition rate in real-time performance.
车辆跟踪检测、识别和计数是车辆分析的重要组成部分。设计这样一个性能优异的模型是很困难的。传统的基于人工特征的目标检测算法泛化能力差,鲁棒性差。为了将深度学习方法用于车辆跟踪检测、识别和计数,本文提出了一种基于yolov5的车辆检测方法。该方法采用深度学习技术,以行驶中的车辆视频为研究对象,分析了目标检测算法,提出了车辆检测框架和平台。本文设计的平台的相关检测算法具有很强的适应性,在交通繁忙、夜间环境、多车重叠、车辆部分丢失等各种条件下显示时,具有良好的性能。实验结果表明,该算法可以根据车辆的边缘轮廓准确地分割和识别车辆。它可以使用包括图片、视频和实时监控在内的材料,在实时性能上具有很高的识别率。
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引用次数: 14
Observation reconstruction and disturbance compensation-based position control for autonomous underwater vehicle 基于观测重构和扰动补偿的自主水下机器人位置控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-04-20 DOI: 10.1080/21642583.2022.2047124
Wanping Song, Zengqiang Chen, Mingwei Sun, Qinglin Sun
To address the position control problem of a six degrees of freedom autonomous underwater vehicle (AUV), the disturbance is observed by an observer and compensated by a controller in this paper. To ensure the vehicle reaches the specified position quickly, the sine cosine algorithm with individual memory is used to find suitable parameters for different controllers. The simulation results show that the observer can extract the system's internal and external uncertainty information in real-time, reduce the phase lag and improve the stability of AUV position control. For a system with complex nonlinearity such as AUV, the observer proposed in this paper has stronger applicability and better robustness.
为了解决六自由度自主水下机器人的位置控制问题,本文用观测器观测扰动,并用控制器进行补偿。为了确保车辆快速到达指定位置,使用具有单独记忆的正弦余弦算法为不同的控制器找到合适的参数。仿真结果表明,该观测器能够实时提取系统的内部和外部不确定性信息,减少相位滞后,提高AUV位置控制的稳定性。对于AUV等具有复杂非线性的系统,本文提出的观测器具有较强的适用性和较强的鲁棒性。
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引用次数: 1
Gaze control system for tracking Quasi-1D high-speed moving object in complex background 复杂背景下准一维高速运动目标跟踪注视控制系统
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2022-04-20 DOI: 10.1080/21642583.2022.2063204
Shuqiao Geng, Chang'an Zhu, Yi Jin, Lichao Wang, Hailong Tan
A gaze control system for tracking Quasi-1D high-speed moving object is proposed, it can keep the object in the centre of the image within a certain range. Initially, the system structure is designed, and the tracking range of the system is expanded using a single saccade mirror. Then the model between the deflection angle of the saccade mirror and the pixel displacement is established. Finally, a frame-difference method based on image cropping is proposed to rapidly extract the moving object in the complex dynamic background. It feeds back the object position to the saccade mirror control system. The system adjusts the deflection angle of the saccade mirror in real time. Experimental results show that the system can satisfy the requirements of gaze control for tracking Quasi-1D high-speed moving object.
提出了一种用于跟踪Quasi-1D高速运动目标的凝视控制系统,该系统可以将目标保持在一定范围内的图像中心。最初,设计了系统结构,并使用单个扫视镜扩大了系统的跟踪范围。然后建立了扫视反射镜偏转角度与像素位移之间的模型。最后,提出了一种基于图像裁剪的帧差分方法来快速提取复杂动态背景中的运动目标。它将物体的位置反馈给扫视镜控制系统。该系统实时调整扫视镜的偏转角度。实验结果表明,该系统能够满足Quasi-1D高速运动目标跟踪的视线控制要求。
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引用次数: 3
期刊
Systems Science & Control Engineering
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