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Development and application of a thin 3-DOF dielectric elastomer actuator 薄型三自由度介电弹性体作动器的研制与应用
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijamechs.2023.131339
Changan Jiang, Masafumi Kadokawa
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引用次数: 1
Multiple factors collaborative optimisation of intelligent storage system 智能存储系统的多因素协同优化
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijamechs.2023.134820
Shuhui Bi, Qiuyang Wang, Yuan Xu, Yudong Zhang
For improving the storage efficiency of intelligent warehousing systems and avoiding local optimum problem, this paper studies the mutually coordinated strategy for inbound and outbound, which is realised by collaboratively analysing the influence of multiple factors such as order, location and path. Firstly, the correlation between stock keeping units (SKU) in historical orders is analysed by the cosine similarity algorithm, and a storage location optimisation model is established. Then, an improved grey wolf optimiser (IGWO) algorithm integrating genetic algorithm (GA) is proposed, which overcomes the disadvantage of insufficient global search ability from GWO algorithm. Moreover, according to the characteristics of the goods placement, an outbound strategy based on item clustering is put forward. The items in multiple orders are clustered and redistributed based on K-means clustering algorithm, and the improved ant colony optimisation (IACO) is given to solve the path optimisation problem. Finally, the effectiveness of the proposed algorithms is proved by analysing the delivery efficiency under different strategies. It demonstrated that the proposed IGWO is stable in solving the storage space optimisation problems with different SKU numbers, and it improves the algorithm solution speed by 50.2% on average than simulated annealing genetic algorithm (SAGA).
为了提高智能仓储系统的存储效率,避免局部最优问题,本文研究了通过协同分析订单、位置、路径等多种因素的影响,实现进出库相互协调策略。首先,利用余弦相似度算法分析了历史订单中库存单位(SKU)之间的相关性,建立了库存位置优化模型;然后,结合遗传算法(GA)提出了一种改进的灰狼优化算法(IGWO),克服了灰狼优化算法全局搜索能力不足的缺点。此外,根据商品布局的特点,提出了一种基于物品聚类的出库策略。基于k均值聚类算法对多阶物品进行聚类和重分配,并采用改进蚁群算法解决路径优化问题。最后,通过分析不同策略下的投递效率,验证了所提算法的有效性。结果表明,所提出的IGWO算法在求解不同SKU数的存储空间优化问题时是稳定的,求解速度比模拟退火遗传算法(SAGA)平均提高50.2%。
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引用次数: 0
An automatic artificial pancreas based on AOA-VPTIDF control algorithm 基于AOA-VPTIDF控制算法的自动人工胰腺
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijamechs.2023.128159
Akshaya Kumar Patra, Girija Sankar Panigrahi, Anuja Nanda
The design of an Archimedes optimisation algorithm-variable parameter tilt integral derivative with filter (AOA-VPTIDF) controller for injecting the optimal dose of insulin through the artificial pancreases (APs) for blood glucose (BG) regulation in type I diabetes mellitus (TIDM) patients is presented in this manuscript. The AOA technique is used to optimise the controller parameters for better control execution in this strategy. MATLAB and Simulink are used to evaluate the AOA-VPTIDF controller's productivity in terms of accuracy, robustness and stability. The obtained results show that the AOA-VPTIDF controller is more effective at keeping blood sugar levels in the normal range (70-120 mg/dl). The relative result analysis with other well-known control techniques reveals the reason of improved control execution of the proposed controller.
本文介绍了一种阿基米德优化算法-带滤波器的变参数倾斜积分导数(AOA-VPTIDF)控制器的设计,用于通过人工胰腺(APs)注射胰岛素的最佳剂量,以调节I型糖尿病(TIDM)患者的血糖(BG)。在该策略中,采用AOA技术对控制器参数进行优化,以获得更好的控制执行效果。利用MATLAB和Simulink对AOA-VPTIDF控制器的精度、鲁棒性和稳定性进行了评价。结果表明,AOA-VPTIDF控制器能更有效地将血糖水平保持在正常范围(70-120 mg/dl)。通过与其他已知控制技术的对比分析,揭示了该控制器控制执行力提高的原因。
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引用次数: 3
Torque ripple reduction rate of 6/4 switched reluctance motor by turn-on and turn-off controllers 接通和关断控制器对6/4开关磁阻电机转矩纹波减小率的影响
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijamechs.2023.134818
Zahraa Razaq, Abdal Razak Shehab Hadi
{"title":"Torque ripple reduction rate of 6/4 switched reluctance motor by turn-on and turn-off controllers","authors":"Zahraa Razaq, Abdal Razak Shehab Hadi","doi":"10.1504/ijamechs.2023.134818","DOIUrl":"https://doi.org/10.1504/ijamechs.2023.134818","url":null,"abstract":"","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135704837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparing the gearing torque capacity of pericycloidal and planetary gear reducers 比较了摆线齿轮减速器和行星齿轮减速器的传动转矩能力
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijamechs.2023.10060342
Ali Mahmoodi
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引用次数: 0
Modelling and adaptive control of NAO robot arm NAO机械臂建模与自适应控制
Q4 Engineering Pub Date : 2021-07-14 DOI: 10.1504/ijamechs.2021.116488
Jun Yu, Shuhui Bi, Shengjun Wen
Aiming at the grasp problem of the robot manipulator, the left arm of NAO robot is considered as to deal with that, and its modelling and control are presented in this paper. After the structure of...
针对机器人机械手的抓取问题,研究了NAO机器人的左臂抓取问题,并对其建模和控制进行了研究。的结构之后…
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引用次数: 3
Warehouse scheduling in airport freight station with multi-objective artificial bee colony algorithm 基于多目标人工蜂群算法的机场货运站仓库调度
Q4 Engineering Pub Date : 2021-07-14 DOI: 10.1504/ijamechs.2021.116460
Haiquan Wang, Su Menghao, Jianhua Wei, Shengjun Wen, Xiaobin Xu
To improve the efficiency and safety of automated warehouse, a new scheme is proposed to solve the problem of space allocation considering path planning, different weight as well as the inbound and...
为了提高自动化仓库的效率和安全性,提出了一种新的方案来解决空间分配问题,该方案考虑了路径规划、不同权重以及入库和入库的情况。。。
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引用次数: 3
Intelligent fault diagnosis of three-phase asynchronous motor based on PCA-SVCNN 基于PCA-SVNN的三相异步电动机智能故障诊断
Q4 Engineering Pub Date : 2021-07-14 DOI: 10.1504/ijamechs.2021.116458
Lingzhi Yi, Xiu Xu, Jian Zhao, Wang Li, Junyong Sun, Liu Yue
In order to solve the problems caused by the complex motor structure signals and big data of non-stationary machinery in the traditional asynchronous motor fault diagnosis method, the speed and accuracy of three-phase asynchronous motor fault diagnosis are improved. In this paper, a new fault diagnosis method of three-phase asynchronous motor is proposed. Firstly, the principal component analysis (PCA) method is used to reduce the dimension of the collected current data, and then the support vector machine (SVM) is used to realise the two classification of the data. Finally, the two types of data are classified by convolutional neural network (CNN), and the accurate diagnosis of three-phase asynchronous motor fault can be realised. The simulation results show that the proposed algorithm can improve the accuracy of fault classification quickly and effectively, which is of great significance to the accurate diagnosis of motor faults.
为了解决传统异步电动机故障诊断方法中电机结构信号复杂、非平稳机械数据大等问题,提高了三相异步电动机故障诊断的速度和准确性。本文提出了一种新的三相异步电动机故障诊断方法。首先利用主成分分析(PCA)方法对采集到的当前数据进行降维,然后利用支持向量机(SVM)实现数据的二次分类。最后,利用卷积神经网络(CNN)对两类数据进行分类,实现三相异步电动机故障的准确诊断。仿真结果表明,该算法能够快速有效地提高故障分类的准确率,对电机故障的准确诊断具有重要意义。
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引用次数: 1
Non-intrusive load identification method based on XGBoost and GRU by stacking ensemble learning 基于XGBoost和GRU叠加集成学习的非侵入式负荷识别方法
Q4 Engineering Pub Date : 2021-07-14 DOI: 10.1504/ijamechs.2021.116489
Lingzhi Yi, Ning Liu, Jiangyong Liu, Lv Fan, Jiankang Liu, Huina Song
Load identification method is one of the major technical difficulties of non-intrusive composite monitoring. In this paper, aiming at the low accuracy of single model load identification, a non-inv...
负荷识别方法是非侵入式复合监测的主要技术难点之一。本文针对单模型负荷识别精度低的问题,提出了一种非入侵检测方法。。。
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引用次数: 1
A vehicle suspension system based on Kalman filtering model predictive control algorithm 基于卡尔曼滤波模型预测控制算法的汽车悬架系统
Q4 Engineering Pub Date : 2021-07-14 DOI: 10.1504/ijamechs.2021.116455
A. Patra
The aim of this manuscript is to formulate a Kalman filtering model predictive controller (KFMPC) for a vehicle suspension system (VSS) to enhance the ride luxury by retaining the stuns because of an unpleasant and crooked road. For the formulation of the KFMPC, a 4th order state-space structure of the VSS is deliberated. In this strategy, the conventional model predictive controller (CMPC) is redesigned by use of the Kalman filter to upgrade the control execution. The approval of the upgraded control execution of KFMPC is set up by comparative outcome examination with other well-known control strategies. The relative outcomes obviously reveal the better execution of the recommended strategy to monitor the VSS dynamics inside a steady range as for the accuracy, stability, and robustness.
本文的目的是为车辆悬架系统(VSS)制定一个卡尔曼滤波模型预测控制器(KFMPC),通过保留因不愉快和弯曲的道路而产生的眩晕来提高乘坐舒适性。为了构造KFMPC,研究了VSS的四阶状态空间结构。在该策略中,利用卡尔曼滤波对传统模型预测控制器(CMPC)进行了重新设计,提高了控制的执行力。通过与其他知名控制策略的对比结果检验,确定了KFMPC升级控制执行的批准。相对结果明显表明,所推荐的策略在稳定范围内监测VSS动态的准确性、稳定性和鲁棒性较好。
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引用次数: 0
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International Journal of Advanced Mechatronic Systems
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