Mechatronics最新文献_第2页

Gait self-learning control based on reference trajectory generation online for an asymmetric limb rehabilitation exoskeleton 基于参考轨迹在线生成的步态自学习控制，用于非对称肢体康复外骨骼

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-10-09 DOI: 10.1016/j.mechatronics.2024.103262

Qiang Zhang, Qingcong Wu, Bai Chen, Yanghui Zhu

{"title":"Gait self-learning control based on reference trajectory generation online for an asymmetric limb rehabilitation exoskeleton","authors":"Qiang Zhang, Qingcong Wu, Bai Chen, Yanghui Zhu","doi":"10.1016/j.mechatronics.2024.103262","DOIUrl":"10.1016/j.mechatronics.2024.103262","url":null,"abstract":"<div><div>Lower limb exoskeleton (LEX) are widely used to assist stoke survivors with walking dysfunction, which is lack of a more flexible trajectory and fails to address the control challenge posed by gait variability and asymmetry in rehabilitation training. This paper introduces an asymmetric self-learning lower exoskeleton (AS-LEX) based on reference trajectory generation for the affected side. Motor intent of the unaffected limb based on thresholds was identified to classify the gait phase of stance and swing. A parameterized gait trajectory was generated online, namely a combination of circular trajectory in the stance phase and an elliptical trajectory in the swing phase. Gait self-learning control is presented to make the affected limb adaptively learn the gait parameters generated by the unaffected limb. Feasibility of the AS-LEX is demonstrated experimentally using three healthy subjects. Resuls demonstrate that overground walking in a more natural speed (with a stride length 600 mm and 700 mm) make subjects more actively learn gait of the affected side from the unaffected side. Additionally, experiments of the fatigue level of the affected limb and human-robot interaction torques were carried out, and the results indicate a more natural gait and reduced interaction forces with the AS-LEX.</div></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"104 ","pages":"Article 103262"},"PeriodicalIF":3.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model-free control for an industrial long-stroke motion system with a nonlinear micropositioning actuator 使用非线性微定位执行器的工业长行程运动系统的无模型控制

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-10-09 DOI: 10.1016/j.mechatronics.2024.103257

Yazan M. Al-Rawashdeh , Mohammad Al Saaideh , Marcel F. Heertjes , Tom Oomen , Mohammad Al Janaideh

引用次数: 0

Optimal visual control of tendon-sheath-driven continuum robots with robust Jacobian estimation in confined environments 在密闭环境中通过鲁棒雅各布估计实现腱鞘驱动连续机器人的最佳视觉控制

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-10-03 DOI: 10.1016/j.mechatronics.2024.103260

Chuanchuan Pan , Zhen Deng , Chao Zeng , Bingwei He , Jianwei Zhang

{"title":"Optimal visual control of tendon-sheath-driven continuum robots with robust Jacobian estimation in confined environments","authors":"Chuanchuan Pan , Zhen Deng , Chao Zeng , Bingwei He , Jianwei Zhang","doi":"10.1016/j.mechatronics.2024.103260","DOIUrl":"10.1016/j.mechatronics.2024.103260","url":null,"abstract":"<div><div>Accurate control of continuum robots in confined environments presents a significant challenge due to the need for a precise kinematic model, which is susceptible to external interference. This paper introduces a model-less optimal visual control (MLOVC) method that enables a tendon-sheath-driven continuum robot (TSDCR) to effectively track visual targets in a confined environment while ensuring stability. The method allows for intraluminal navigation of TSDCRs along narrow lumens. To account for the presence of external outliers, a robust Jacobian estimation method is proposed, wherein improved iterative reweighted least squares with sliding windows are used to online calculate the robot’s Jacobian matrix from sensing data. The estimated Jacobian establishes the motion relationship between the visual feature and the actuation. Furthermore, an optimal visual control method based on quadratic programming (QP) is designed for visual target tracking, while considering the robot’s physical constraint and control constraints. The MLOVC method for visual tracking provides a reliable alternative that does not rely on the precise kinematics of TSDCRs and takes into consideration the impact of outliers. The control stability of the proposed approach is demonstrated through Lyapunov analysis. Simulations and experiments are conducted to evaluate the effectiveness of the MLOVC method, and the results demonstrate that it enhances tracking performance in terms of accuracy and stability.</div></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"104 ","pages":"Article 103260"},"PeriodicalIF":3.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning to detect slip through tactile estimation of the contact force field and its entropy properties 通过对接触力场及其熵属性的触觉估计学习检测滑移

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-10-01 DOI: 10.1016/j.mechatronics.2024.103258

Xiaohai Hu , Aparajit Venkatesh , Yusen Wan , Guiliang Zheng , Neel Jawale , Navneet Kaur , Xu Chen , Paul Birkmeyer

{"title":"Learning to detect slip through tactile estimation of the contact force field and its entropy properties","authors":"Xiaohai Hu , Aparajit Venkatesh , Yusen Wan , Guiliang Zheng , Neel Jawale , Navneet Kaur , Xu Chen , Paul Birkmeyer","doi":"10.1016/j.mechatronics.2024.103258","DOIUrl":"10.1016/j.mechatronics.2024.103258","url":null,"abstract":"<div><div>Slip detection during object grasping and manipulation plays a vital role in object handling. Visual feedback can help devise a strategy for grasping. However, for robotic systems to attain a proficiency comparable to humans, integrating artificial tactile sensing is increasingly essential, especially in consistently handling unfamiliar objects. We introduce a novel physics-informed, data-driven approach to detect slip continuously for control-oriented tasks. Our work leverages the inhomogeneity of tactile sensor readings during slip events to develop distinct features and formulates slip detection as a classification problem. We test multiple data-driven models on 10 common objects under different loading conditions, textures, and materials to evaluate our approach. The resulting best classification algorithm achieves a high average accuracy of 95.61%. Practical application in dynamic robotic manipulation demonstrates the effectiveness of the proposed real-time slip detection and prevention.</div></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"104 ","pages":"Article 103258"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnetic equivalent circuit modeling of a permanent magnet linear synchronous motor composed of curved segments 由曲线段组成的永磁直线同步电机的磁等效电路建模

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-09-30 DOI: 10.1016/j.mechatronics.2024.103256

Gerd Fuchs , Andreas Kugi , Wolfgang Kemmetmüller

{"title":"Magnetic equivalent circuit modeling of a permanent magnet linear synchronous motor composed of curved segments","authors":"Gerd Fuchs , Andreas Kugi , Wolfgang Kemmetmüller","doi":"10.1016/j.mechatronics.2024.103256","DOIUrl":"10.1016/j.mechatronics.2024.103256","url":null,"abstract":"<div><div>This paper advances magnetic equivalent circuit (MEC) modeling for permanent magnet linear synchronous motors (PMLSMs) with arbitrarily curved segments. As PMLSMs are increasingly utilized in industrial applications, accurate and computationally efficient modeling techniques are paramount. This research proposes a novel approach that meets these requirements and paves the way for real-time model-based control, observers, and estimation strategies. Existing MEC models for PMLSMs primarily consider straight stator segments, neglecting the impact of the curvature of curved segments commonly used in modern PMLSM designs. The approach proposed in this paper systematically incorporates these effects into the MEC model for PMLSMs to address this limitation. As demonstrated by several validation experiments, a calibration concept based on measurements further enhances the model’s accuracy. Finally, a method for efficiently implementing the proposed MEC model for a whole PMLSM setup significantly reduces the computation time compared to the standard implementation.</div></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"104 ","pages":"Article 103256"},"PeriodicalIF":3.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding friction and superelasticity in tendon-driven continuum robots 了解肌腱驱动连续机器人中的摩擦和超弹性

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-09-05 DOI: 10.1016/j.mechatronics.2024.103241

Luca Raimondi, Matteo Russo, Xin Dong, Dragos Axinte

{"title":"Understanding friction and superelasticity in tendon-driven continuum robots","authors":"Luca Raimondi, Matteo Russo, Xin Dong, Dragos Axinte","doi":"10.1016/j.mechatronics.2024.103241","DOIUrl":"10.1016/j.mechatronics.2024.103241","url":null,"abstract":"<div><p>Tendon-driven continuum robots are conventionally modeled with either discrete or differential representations of their shapes, which neglect the physical design of the robot itself. As each segment of these robotic systems is usually realized by alternating compliant elements and rigid disks for tendon routing, these discontinuities cause non-negligible position and orientation errors. Although the factors that cause these curvature errors have often been identified in the mechanical behavior of the compliant element (usually made of superelastic alloys), tendon routing, and friction, no study available in the open literature gives a satisfactory explanation of these phenomena. In this article, a Finite Element (FE) model is proposed in conjunction with a bottom-up approach to study the physical behavior of this class of robots and ultimately to quantify the impact of these factors on the shape of a tendon-driven continuum robot. The model proved capable of approximating the experimental data with good accuracy, showing an average percentage error of 0.80% and a peak percentage error at the maximum curvature of the continuum robot of 1.30%, significantly smaller than the average error of 4.1% and peak error of 13.86% obtained with a conventional model.</p></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"104 ","pages":"Article 103241"},"PeriodicalIF":3.1,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0957415824001065/pdfft?md5=7183d1ac1de5f156425285c5e712bf58&pid=1-s2.0-S0957415824001065-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FalconScan: A hybrid UAV-crawler system for NDT inspection of elevated pipes in industrial plants FalconScan：用于工业厂房高架管道无损检测的无人机-爬虫混合系统

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-08-30 DOI: 10.1016/j.mechatronics.2024.103239

Fadl Abdellatif , Ali J. Alrasheed , Amjad Felemban , Ahmed Al Brahim , Hesham Jifri , Mohamed Abdelkader , Shehab Ahmed , Jeff S. Shamma

{"title":"FalconScan: A hybrid UAV-crawler system for NDT inspection of elevated pipes in industrial plants","authors":"Fadl Abdellatif , Ali J. Alrasheed , Amjad Felemban , Ahmed Al Brahim , Hesham Jifri , Mohamed Abdelkader , Shehab Ahmed , Jeff S. Shamma","doi":"10.1016/j.mechatronics.2024.103239","DOIUrl":"10.1016/j.mechatronics.2024.103239","url":null,"abstract":"<div><p>Periodic non-destructive testing (NDT) of pipes and tanks is vital in industrial plants, such as Oil & Gas facilities, to proactively detect defects and corrosion before leaks and forced shutdowns occur. This paper presents a hybrid system, consisting of a UAV and a crawler, which enables detailed contact-based inspection of elevated pipes, in pursuit of eliminating the need for dangerous scaffolding and manual inspection to improve safety and reduce cost. Similar to avian animals, the UAV autonomously perches on the pipe to conserve energy. A small inspection crawling robot is carried by the UAV, and is subsequently released onto the pipe’s surface to inspect its health. The crawler uses magnetic wheels for agile mobility and houses an ultrasonic testing (UT) sensor to thoroughly scan the pipe and detect wall thinning, which is a precursor for leaks. Finally, the crawler re-docks with the UAV, which in turn detaches from the pipe to fly back home or inspect another pipe. The multi-robot system is designed for and tested on pipe diameters as small as 8 in.</p></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"103 ","pages":"Article 103239"},"PeriodicalIF":3.1,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage 基于时变内部模型原理的稳健控制设计，用于直接驱动伺服平台的超精确跟踪

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-08-28 DOI: 10.1016/j.mechatronics.2024.103249

Yue Cao, Zhen Zhang

{"title":"A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage","authors":"Yue Cao, Zhen Zhang","doi":"10.1016/j.mechatronics.2024.103249","DOIUrl":"10.1016/j.mechatronics.2024.103249","url":null,"abstract":"<div><p>This paper proposes a robust design of the time-varying internal model principle-based control (TV-IMPC) for tracking sophisticated references generated by linear time-varying (LTV) autonomous systems. The existing TV-IMPC design usually requires a complete knowledge of the plant I/O (input/output) model, leading to the lack of structural robustness. To tackle this issue, we, in this paper, design a gray-box extended state observer (ESO) to estimate and compensate unknown model uncertainties and external disturbances. By means of the ESO feedback, the plant model is kept as nominal, and hence the structural robustness is achieved for the time-varying internal model. It is shown that the proposed design has bounded ESO estimation errors, which can be further adjusted by modifying the corresponding control gains. To stabilize the ESO-based TV-IMPC, a time-varying stabilizer is developed by employing Linear Matrix Inequalities (LMIs). Extensive simulation and experimental studies are conducted on a direct-drive servo stage to validate the proposed robust TV-IMPC with ultra-precision tracking performance (<span><math><mrow><mo>∼</mo><mn>60</mn><mspace></mspace><mi>nm</mi></mrow></math></span> RMSE out of <span><math><mrow><mo>±</mo><mn>80</mn><mspace></mspace><mi>mm</mi></mrow></math></span> stroke).</p></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"103 ","pages":"Article 103249"},"PeriodicalIF":3.1,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142088297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An active SLAM with multi-sensor fusion for snake robots based on deep reinforcement learning 基于深度强化学习的蛇形机器人多传感器融合主动式 SLAM

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-08-23 DOI: 10.1016/j.mechatronics.2024.103248

Xin Liu , Shuhuan Wen , Yaohua Hu , Fei Han , Hong Zhang , Hamid Reza Karimi

{"title":"An active SLAM with multi-sensor fusion for snake robots based on deep reinforcement learning","authors":"Xin Liu , Shuhuan Wen , Yaohua Hu , Fei Han , Hong Zhang , Hamid Reza Karimi","doi":"10.1016/j.mechatronics.2024.103248","DOIUrl":"10.1016/j.mechatronics.2024.103248","url":null,"abstract":"<div><p>Snake-like robots can imitate the movement patterns of animals in nature and enter the space that traditional robots cannot enter, which adapt to environments that humans cannot reach, and expand the field of human exploration. However, it is often challenging to realize autonomous navigation and simultaneously avoid obstacles under an unknown environment, that is, active SLAM (Simultaneous Localization and Mapping). This paper proposes an autonomous obstacle avoidance method combined with SLAM based on deep reinforcement learning for a wheeled snake robot by using a multi-sensor. Firstly, we design a modular wheeled snake robot structure with lightweight materials based on orthogonal joints and build a three-dimensional model of a snake robot in Gazebo. Secondly, the SLAM based on two-dimensional LiDAR and IMU is used to realize autonomous navigation under an unknown environment and detect obstacles. At the same time, a Deep Q-Learning-based path planning method of the snake robot is proposed to realize obstacles avoidance during navigation. Finally, simulation studies and experiments show that the designed snake-like robot can realize effective path planning and environmental mapping in environments with obstacles. The proposed active SLAM algorithm improves the success rate of snake-like robot path planning, has better obstacle avoidance ability for obstacles, and reduces the number of collisions compared with the traditional A* and the sampling-based RRT* algorithms.</p></div>","PeriodicalId":49842,"journal":{"name":"Mechatronics","volume":"103 ","pages":"Article 103248"},"PeriodicalIF":3.1,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142050119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DBSCAN and Yolov5 based 3D object detection and its adaptation to a mobile platform 基于 DBSCAN 和 Yolov5 的 3D 物体检测及其与移动平台的适配

IF 3.1 3区计算机科学

Mechatronics Pub Date : 2024-08-15 DOI: 10.1016/j.mechatronics.2024.103238

Dong Gyu Park , Tae Nam Jung , Jin Gahk Kim , Sang Hun Lee , Eun Su Oh , Dong Hwan Kim

引用次数: 0