Pub Date : 2023-01-01DOI: 10.1504/ijamechs.2023.131339
Changan Jiang, Masafumi Kadokawa
{"title":"Development and application of a thin 3-DOF dielectric elastomer actuator","authors":"Changan Jiang, Masafumi Kadokawa","doi":"10.1504/ijamechs.2023.131339","DOIUrl":"https://doi.org/10.1504/ijamechs.2023.131339","url":null,"abstract":"","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"30 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":"135685640","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}
Pub Date : 2023-01-01DOI: 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).
{"title":"Multiple factors collaborative optimisation of intelligent storage system","authors":"Shuhui Bi, Qiuyang Wang, Yuan Xu, Yudong Zhang","doi":"10.1504/ijamechs.2023.134820","DOIUrl":"https://doi.org/10.1504/ijamechs.2023.134820","url":null,"abstract":"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).","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"194 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":"135704084","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}
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.
{"title":"An automatic artificial pancreas based on AOA-VPTIDF control algorithm","authors":"Akshaya Kumar Patra, Girija Sankar Panigrahi, Anuja Nanda","doi":"10.1504/ijamechs.2023.128159","DOIUrl":"https://doi.org/10.1504/ijamechs.2023.128159","url":null,"abstract":"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.","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"40 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":"136256578","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}
Pub Date : 2023-01-01DOI: 10.1504/ijamechs.2023.10060342
Ali Mahmoodi
{"title":"Comparing the gearing torque capacity of pericycloidal and planetary gear reducers","authors":"Ali Mahmoodi","doi":"10.1504/ijamechs.2023.10060342","DOIUrl":"https://doi.org/10.1504/ijamechs.2023.10060342","url":null,"abstract":"","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"18 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":"135610166","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}
Pub Date : 2021-07-14DOI: 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...
{"title":"Modelling and adaptive control of NAO robot arm","authors":"Jun Yu, Shuhui Bi, Shengjun Wen","doi":"10.1504/ijamechs.2021.116488","DOIUrl":"https://doi.org/10.1504/ijamechs.2021.116488","url":null,"abstract":"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...","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42560557","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}
Pub Date : 2021-07-14DOI: 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...
{"title":"Warehouse scheduling in airport freight station with multi-objective artificial bee colony algorithm","authors":"Haiquan Wang, Su Menghao, Jianhua Wei, Shengjun Wen, Xiaobin Xu","doi":"10.1504/ijamechs.2021.116460","DOIUrl":"https://doi.org/10.1504/ijamechs.2021.116460","url":null,"abstract":"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...","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41544972","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}
Pub Date : 2021-07-14DOI: 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.
{"title":"Intelligent fault diagnosis of three-phase asynchronous motor based on PCA-SVCNN","authors":"Lingzhi Yi, Xiu Xu, Jian Zhao, Wang Li, Junyong Sun, Liu Yue","doi":"10.1504/ijamechs.2021.116458","DOIUrl":"https://doi.org/10.1504/ijamechs.2021.116458","url":null,"abstract":"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.","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46407510","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}
Pub Date : 2021-07-14DOI: 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...
{"title":"Non-intrusive load identification method based on XGBoost and GRU by stacking ensemble learning","authors":"Lingzhi Yi, Ning Liu, Jiangyong Liu, Lv Fan, Jiankang Liu, Huina Song","doi":"10.1504/ijamechs.2021.116489","DOIUrl":"https://doi.org/10.1504/ijamechs.2021.116489","url":null,"abstract":"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...","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45289611","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}
Pub Date : 2021-07-14DOI: 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.
{"title":"A vehicle suspension system based on Kalman filtering model predictive control algorithm","authors":"A. Patra","doi":"10.1504/ijamechs.2021.116455","DOIUrl":"https://doi.org/10.1504/ijamechs.2021.116455","url":null,"abstract":"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.","PeriodicalId":38583,"journal":{"name":"International Journal of Advanced Mechatronic Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44505384","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}