Pub Date : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661484
Junpei Tani, T. Kinoshita, Zhe Guan, K. Koiwai, Toru Yamamoto
In recent years, the visualization technology of Kansei has been studied, and the database-driven Kansei feedback control scheme has been proposed. It aims at improving Kansei, which is human sensitivity, when the equipment operation is conducted. It is necessary to appropriately determine the learning rate included in the database-driven control scheme to achieve better control performance. This paper proposes a database-driven Kansei feedback control scheme with a determination mechanism of learning rate, and the stability is proved based on the Lyapunov function. In addition, the effectiveness of the proposed scheme is numerically verified.
{"title":"Design of a Database-Driven Kansei Feedback Control System with Determination Mechanism of Learning Rate","authors":"Junpei Tani, T. Kinoshita, Zhe Guan, K. Koiwai, Toru Yamamoto","doi":"10.1109/icamechs54019.2021.9661484","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661484","url":null,"abstract":"In recent years, the visualization technology of Kansei has been studied, and the database-driven Kansei feedback control scheme has been proposed. It aims at improving Kansei, which is human sensitivity, when the equipment operation is conducted. It is necessary to appropriately determine the learning rate included in the database-driven control scheme to achieve better control performance. This paper proposes a database-driven Kansei feedback control scheme with a determination mechanism of learning rate, and the stability is proved based on the Lyapunov function. In addition, the effectiveness of the proposed scheme is numerically verified.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122476773","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661522
{"title":"[Conference abstracts]","authors":"","doi":"10.1109/icamechs54019.2021.9661522","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661522","url":null,"abstract":"","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085491","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661576
{"title":"ICAMechS 2021 Cover Page","authors":"","doi":"10.1109/icamechs54019.2021.9661576","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661576","url":null,"abstract":"","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124643595","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661577
Xiaoxuan Gong, Lu Liu, Li Ma, Juan Dai, Hao Zhang, Jing Liang, Shan Liang
In order to overcome the limitation of insufficient leakage data, a leakage dataset construction approach for natural gas pipeline based on pipeline leak model is proposed for solving the problem of leakage estimation. Firstly, considering complex pipeline physical parameters and operating parameters, the leak model of an active long-distance natural gas pipeline with a length of 17.95 km is developed based on the mechanism of natural gas flow. On-site leak experimental data are then collected to verify the proposed leak model and the maximum error is 3.43%. The flow signals under different leakage rates are simulated through the proposed pipeline leak model. The leakage dataset is established by converting time series signals of gas flow into two-dimensional grayscale images. Finally, the leakage dataset is applied on the Convolutional Neural Network and Support Vector Machine. The highest classification accuracy is 95.5%. The results confirm the effectiveness of the leakage dataset in discriminating against the leakage amount.
{"title":"A Leak Sample Dataset Construction Method for Gas Pipeline Leakage Estimation Using Pipeline Studio","authors":"Xiaoxuan Gong, Lu Liu, Li Ma, Juan Dai, Hao Zhang, Jing Liang, Shan Liang","doi":"10.1109/icamechs54019.2021.9661577","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661577","url":null,"abstract":"In order to overcome the limitation of insufficient leakage data, a leakage dataset construction approach for natural gas pipeline based on pipeline leak model is proposed for solving the problem of leakage estimation. Firstly, considering complex pipeline physical parameters and operating parameters, the leak model of an active long-distance natural gas pipeline with a length of 17.95 km is developed based on the mechanism of natural gas flow. On-site leak experimental data are then collected to verify the proposed leak model and the maximum error is 3.43%. The flow signals under different leakage rates are simulated through the proposed pipeline leak model. The leakage dataset is established by converting time series signals of gas flow into two-dimensional grayscale images. Finally, the leakage dataset is applied on the Convolutional Neural Network and Support Vector Machine. The highest classification accuracy is 95.5%. The results confirm the effectiveness of the leakage dataset in discriminating against the leakage amount.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124206910","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661541
Ping Liu, Qiang Zhang, Aihui Wang, Jin-young Song, Daming Li, Yuhao Yan, Li Yang
With the quick development of technologies, the customer fast changing demands, e.g., the types of products, quantities and delivery dates, render manufacturing processes to be more dynamical and complex. To deal with these problems, we focus on the operational layer and consider an improved machinery-oriented capacity control approach in the short or medium term fluctuations in demand. In this paper, we firstly present a mathematical model to describe the complexity and dynamics of multi-workstation job shop manufacturing systems based on the customized flexibility of reconfigurable machine tools. Then, an integral separation PID control method is utilized to optimize the performance of capacity control systems while a traditional PID method is also considered for comparsion in terms of the dynamic transient performance and steady-state performance. Last, the simulation results show that the integral separated PID control has a lower overshoots and smaller steady-state errors than the classical PID control, which indicates the effectiveness of the proposed method.
{"title":"Machinery-oriented Capacity Control for Complex Industrial Manufacturing Processes","authors":"Ping Liu, Qiang Zhang, Aihui Wang, Jin-young Song, Daming Li, Yuhao Yan, Li Yang","doi":"10.1109/icamechs54019.2021.9661541","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661541","url":null,"abstract":"With the quick development of technologies, the customer fast changing demands, e.g., the types of products, quantities and delivery dates, render manufacturing processes to be more dynamical and complex. To deal with these problems, we focus on the operational layer and consider an improved machinery-oriented capacity control approach in the short or medium term fluctuations in demand. In this paper, we firstly present a mathematical model to describe the complexity and dynamics of multi-workstation job shop manufacturing systems based on the customized flexibility of reconfigurable machine tools. Then, an integral separation PID control method is utilized to optimize the performance of capacity control systems while a traditional PID method is also considered for comparsion in terms of the dynamic transient performance and steady-state performance. Last, the simulation results show that the integral separated PID control has a lower overshoots and smaller steady-state errors than the classical PID control, which indicates the effectiveness of the proposed method.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187325","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661493
Sicheng Li, Z. Man, Z. Cao, Jinchuan Zheng, Yuan Chen
Extreme learning machine (ELM) with harmony search (HS) method for solving high dimensional data pattern classifications (abbreviated to HDHS-ELM) is studied in this paper. Firstly, HDHS mechanism which can enhance the global search ability to make features in feature space more separable is used to adjust the hidden nodes' parameters of neural classifier to improve the classification performance and reduce the hidden neurons' quantity. For balancing and reducing empirical and structural risks, the output weights are then computed through regularization technique. Compared with classifiers trained with another three algorithms related to ELM, the simulation results of classifier trained with HDHS- ELM illustrate better performance.
{"title":"Extreme Learning Machine with Harmony Search for High Dimensional Data Classifications","authors":"Sicheng Li, Z. Man, Z. Cao, Jinchuan Zheng, Yuan Chen","doi":"10.1109/icamechs54019.2021.9661493","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661493","url":null,"abstract":"Extreme learning machine (ELM) with harmony search (HS) method for solving high dimensional data pattern classifications (abbreviated to HDHS-ELM) is studied in this paper. Firstly, HDHS mechanism which can enhance the global search ability to make features in feature space more separable is used to adjust the hidden nodes' parameters of neural classifier to improve the classification performance and reduce the hidden neurons' quantity. For balancing and reducing empirical and structural risks, the output weights are then computed through regularization technique. Compared with classifiers trained with another three algorithms related to ELM, the simulation results of classifier trained with HDHS- ELM illustrate better performance.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116215362","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661561
Tomoya Hoshina, M. Deng
Linear slider is a linear actuator. It uses a stage to make semiconductor devise and linear motor car because it has the characteristic of low friction and high–speed response. In this paper, nonlinear model considering the position dependance of interlinkage flux of linear motor is proposed. The plant is compensated by operator based nonlinear position controller and the proposed model. The effectiveness of the controller and model is confirmed by simulation of comparing linear model and nonlinear model.
{"title":"Operator based robust nonlinear position control of linear slider","authors":"Tomoya Hoshina, M. Deng","doi":"10.1109/icamechs54019.2021.9661561","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661561","url":null,"abstract":"Linear slider is a linear actuator. It uses a stage to make semiconductor devise and linear motor car because it has the characteristic of low friction and high–speed response. In this paper, nonlinear model considering the position dependance of interlinkage flux of linear motor is proposed. The plant is compensated by operator based nonlinear position controller and the proposed model. The effectiveness of the controller and model is confirmed by simulation of comparing linear model and nonlinear model.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131925286","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661528
Guanqiang Dong, M. Deng
This paper studies operator based nonlinear robust control of a spiral-plate heat exchanger by using fractional order derivative. First, some preliminary concepts of fractional order and operator theory are presented. Second, nonlinear fractional order derivative equation with uncertainties is described. Then, operator controller and fractional order controller are designed. Simulation illustrates control performance by comparison of different control scheme. Finally, conclusion and the future work are given.
{"title":"Operator Based Fractional Order Control System for a Spiral Heat Exchanger with Uncertainties","authors":"Guanqiang Dong, M. Deng","doi":"10.1109/icamechs54019.2021.9661528","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661528","url":null,"abstract":"This paper studies operator based nonlinear robust control of a spiral-plate heat exchanger by using fractional order derivative. First, some preliminary concepts of fractional order and operator theory are presented. Second, nonlinear fractional order derivative equation with uncertainties is described. Then, operator controller and fractional order controller are designed. Simulation illustrates control performance by comparison of different control scheme. Finally, conclusion and the future work are given.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121926037","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}
A Disassembly Line Balancing Problem (DLBP) is an important problem in the recycling process of end-of-life products. Multiple constraints, such as precedence relation among subassemblies and disassembly incidence, must be considered in solving it. Considering the uncertainty of real disassemble operation time, this work constructs a stochastic multi-objective linear-shape DLBP based on an AND/OR graph. The objectives are to maximize profit, minimize energy consumption and the number of workstations. To solve it, a new multi-objective discrete chemical reaction optimization algorithm based on a Pareto solution set is proposed. To increase the diversity of solutions, four reaction operators are adopted. This work shows that the proposed algorithm is better than such well-known ones as a multi-objective discrete brainstorming optimizer, nondominated sorting genetic algorithm II, and multi-objective evolutionary algorithm.
{"title":"A Multi-objective Discrete Chemical Reaction Optimization Algorithm for Stochastic Disassembly Line Balancing Problem","authors":"WenChang Wang, Xiwang Guo, Mengchu Zhou, Jiacun Wang, Liang Qi, Shujin Qin","doi":"10.1109/icamechs54019.2021.9661544","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661544","url":null,"abstract":"A Disassembly Line Balancing Problem (DLBP) is an important problem in the recycling process of end-of-life products. Multiple constraints, such as precedence relation among subassemblies and disassembly incidence, must be considered in solving it. Considering the uncertainty of real disassemble operation time, this work constructs a stochastic multi-objective linear-shape DLBP based on an AND/OR graph. The objectives are to maximize profit, minimize energy consumption and the number of workstations. To solve it, a new multi-objective discrete chemical reaction optimization algorithm based on a Pareto solution set is proposed. To increase the diversity of solutions, four reaction operators are adopted. This work shows that the proposed algorithm is better than such well-known ones as a multi-objective discrete brainstorming optimizer, nondominated sorting genetic algorithm II, and multi-objective evolutionary algorithm.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607686","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 : 2021-12-09DOI: 10.1109/icamechs54019.2021.9661515
Zhaoxi Xie, Yanfeng Wu, Jianping Gao, C. Song, W. Chai, J. Xi
To improve the robustness of the emergency obstacle avoidance strategy of unmanned vehicles and reduce road traffic accidents, this paper proposes a bi-level model predictive control (MPC) for the vehicle trajectory replanning and path tracking based on obstacle avoidance function. A nonlinear MPC path planner and a linear time-varying MPC trajectory trackers are designed. The proposed approach was simulated with CarSim and MATLAB/Simulink. The simulation results show that the proposed emergency obstacle avoidance control strategy has good adaptability to low, medium and high-speed vehicles, and the vehicles can avoid obstacles stably and achieve the desired trajectory tracking, which verifies the effectiveness of the proposal.
{"title":"Emergency obstacle avoidance system of driverless vehicle based on model predictive control","authors":"Zhaoxi Xie, Yanfeng Wu, Jianping Gao, C. Song, W. Chai, J. Xi","doi":"10.1109/icamechs54019.2021.9661515","DOIUrl":"https://doi.org/10.1109/icamechs54019.2021.9661515","url":null,"abstract":"To improve the robustness of the emergency obstacle avoidance strategy of unmanned vehicles and reduce road traffic accidents, this paper proposes a bi-level model predictive control (MPC) for the vehicle trajectory replanning and path tracking based on obstacle avoidance function. A nonlinear MPC path planner and a linear time-varying MPC trajectory trackers are designed. The proposed approach was simulated with CarSim and MATLAB/Simulink. The simulation results show that the proposed emergency obstacle avoidance control strategy has good adaptability to low, medium and high-speed vehicles, and the vehicles can avoid obstacles stably and achieve the desired trajectory tracking, which verifies the effectiveness of the proposal.","PeriodicalId":323569,"journal":{"name":"2021 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116244811","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}
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