Pub Date : 2024-04-11DOI: 10.37394/23203.2024.19.6
Tuan Trung Nguyen, S. Koonprasert, P. Meesad
The development of technology has supported effective tools in industrial machines and set up the remarkable phase that serves well-being such as kinetic energy, kinetic movement, and nuclear energy. Applied mathematics has also contributed valuable procedures in various fields of these sciences, especially the creation of transformation. With practical relevance, a new general integral (NGI) transform has also shown a crucial role in the same pragmatic methods. In this paper, the NGI transform using the combination of Padé approximation including continued fraction expansions (CFE) has been used to attain approximate solutions of space-time fractional telegraph equations by directly getting the inverse transform.
{"title":"General Integral Transform Performance for Space-Time Fractional Telegraph Equations","authors":"Tuan Trung Nguyen, S. Koonprasert, P. Meesad","doi":"10.37394/23203.2024.19.6","DOIUrl":"https://doi.org/10.37394/23203.2024.19.6","url":null,"abstract":"The development of technology has supported effective tools in industrial machines and set up the remarkable phase that serves well-being such as kinetic energy, kinetic movement, and nuclear energy. Applied mathematics has also contributed valuable procedures in various fields of these sciences, especially the creation of transformation. With practical relevance, a new general integral (NGI) transform has also shown a crucial role in the same pragmatic methods. In this paper, the NGI transform using the combination of Padé approximation including continued fraction expansions (CFE) has been used to attain approximate solutions of space-time fractional telegraph equations by directly getting the inverse transform.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"15 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140712588","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 : 2024-04-11DOI: 10.37394/23203.2024.19.5
Mariem Ahmed Baba, Mohamed Naoui, A. Abbou, Mohamed Cherkaoui
The Brushless DC (BLDC) motor is a common choice for industrial applications, particularly in the automotive sector, owing to its high efficiency and robust capabilities. To detect the position of the motor rotor, hall-effect sensors can be used, but these sensors may prevent the system from operating if they fail. Consequently, fault-tolerant control (FTC) has been proposed in several studies to ensure continuity of operation in the event of sensor failure. This paper proposes an innovative method of fault detection in the hall effect sensor for a BLDC motor using combinatorial functions. This paper proposes an innovative method of hall-effect sensor fault detection for a BLDC motor using combinatorial functions. For the speed control of the BLDC under study, a hybrid adaptive neuro-fuzzy inference control (ANFIS) is implemented. In addition, the FTC signal reconstruction technique adopted has been improved to achieve motor start-up despite a fault in one of the sensors, thanks to well-defined fault detection algorithms. Simulation results are presented for each sensor failure case to test the effectiveness of the method used.
{"title":"Proposed Fault Detection Algorithm with Optimized Hybrid Speed Control","authors":"Mariem Ahmed Baba, Mohamed Naoui, A. Abbou, Mohamed Cherkaoui","doi":"10.37394/23203.2024.19.5","DOIUrl":"https://doi.org/10.37394/23203.2024.19.5","url":null,"abstract":"The Brushless DC (BLDC) motor is a common choice for industrial applications, particularly in the automotive sector, owing to its high efficiency and robust capabilities. To detect the position of the motor rotor, hall-effect sensors can be used, but these sensors may prevent the system from operating if they fail. Consequently, fault-tolerant control (FTC) has been proposed in several studies to ensure continuity of operation in the event of sensor failure. This paper proposes an innovative method of fault detection in the hall effect sensor for a BLDC motor using combinatorial functions. This paper proposes an innovative method of hall-effect sensor fault detection for a BLDC motor using combinatorial functions. For the speed control of the BLDC under study, a hybrid adaptive neuro-fuzzy inference control (ANFIS) is implemented. In addition, the FTC signal reconstruction technique adopted has been improved to achieve motor start-up despite a fault in one of the sensors, thanks to well-defined fault detection algorithms. Simulation results are presented for each sensor failure case to test the effectiveness of the method used.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"85 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140713539","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 : 2024-04-11DOI: 10.37394/23203.2024.19.7
Manogna M., Amarendra Reddy B., Padma Kottala
Many power electronic systems applications namely locomotives, hybrid electric vehicles, and all renewable energy sourced systems are shifting towards Multi-Input Multi-Output (MIMO) integrated DC-DC converters due to their reliability and flexible nature. Designing controllers for MIMO integrated DC-DC converter is complicated due to its integrated structure, presence of common elements, and interactions between the input and output variables of the converter. In this work, a Three-Input Integrated DC-DC (TIID) converter is modeled using state-space analysis, and a Transfer Function Matrix (TFM) is acquired from the small signal continuous time model. A robust controller based on the loop shaping method is designed for the TIID converter. In this loop-shaping method, the desired robustness and the performance of the controller are represented with weight functions i.e., loop-shaping filters. These weight functions are designed using TFM and are frequency-dependent. The robustness of the controller depends on the weight function parameters. The effect of varying the parameters of the weight functions on system dynamics, robustness, and performance are studied and plotted. TIID converter of 288 W, 24V-30V-36V to 48 V is considered and the impact of weight function on closed-loop system dynamics and sensitivity characteristics under varying parameter conditions are analyzed in MATLAB Environment.
由于多输入多输出（MIMO）集成直流-直流转换器的可靠性和灵活性，许多电力电子系统应用，如机车、混合动力电动汽车和所有可再生能源系统，都在转向使用多输入多输出（MIMO）集成直流-直流转换器。由于 MIMO 集成直流-直流转换器的集成结构、共用元件的存在以及转换器输入和输出变量之间的相互作用，为其设计控制器非常复杂。在这项工作中，使用状态空间分析法对三输入集成直流-直流（TIID）转换器进行建模，并从小信号连续时间模型中获取传递函数矩阵（TFM）。为 TIID 转换器设计了一种基于环路整形方法的鲁棒控制器。在这种环路整形方法中，控制器所需的鲁棒性和性能用权重函数（即环路整形滤波器）来表示。这些权重函数使用 TFM 设计，并与频率相关。控制器的鲁棒性取决于权重函数参数。研究并绘制了改变权重函数参数对系统动态、鲁棒性和性能的影响。考虑了 288 W、24V-30V-36V 至 48 V 的 TIID 转换器，并在 MATLAB 环境中分析了权重函数在参数变化条件下对闭环系统动态和灵敏度特性的影响。
{"title":"Impact of Weight Functions on Performance of Three-Input Integrated Dc-Dc Converter in H ∞ Control","authors":"Manogna M., Amarendra Reddy B., Padma Kottala","doi":"10.37394/23203.2024.19.7","DOIUrl":"https://doi.org/10.37394/23203.2024.19.7","url":null,"abstract":"Many power electronic systems applications namely locomotives, hybrid electric vehicles, and all renewable energy sourced systems are shifting towards Multi-Input Multi-Output (MIMO) integrated DC-DC converters due to their reliability and flexible nature. Designing controllers for MIMO integrated DC-DC converter is complicated due to its integrated structure, presence of common elements, and interactions between the input and output variables of the converter. In this work, a Three-Input Integrated DC-DC (TIID) converter is modeled using state-space analysis, and a Transfer Function Matrix (TFM) is acquired from the small signal continuous time model. A robust controller based on the loop shaping method is designed for the TIID converter. In this loop-shaping method, the desired robustness and the performance of the controller are represented with weight functions i.e., loop-shaping filters. These weight functions are designed using TFM and are frequency-dependent. The robustness of the controller depends on the weight function parameters. The effect of varying the parameters of the weight functions on system dynamics, robustness, and performance are studied and plotted. TIID converter of 288 W, 24V-30V-36V to 48 V is considered and the impact of weight function on closed-loop system dynamics and sensitivity characteristics under varying parameter conditions are analyzed in MATLAB Environment.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715656","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 : 2024-04-09DOI: 10.37394/23203.2024.19.4
D. Cherifi, Y. Miloud
The present work focused on the control by flow orientation without mechanical sensors on the doubly fed induction motor by the use of artificial intelligence techniques. Our main contribution lies in the development of control methodologies to improve control by flux orientation, for this, we acted on the type and control of inverters by the use of multilevel inverters and then on the observation technique of rotor speed based on the high gain Luenberger observer and improvements to the speed adaptation mechanism using fuzzy logic. Simulation tests of the proposed improvement approach were carried out at the end of this work to verify the behavior of this system in the face of different types of training.
{"title":"Intelligent Adaptation Mechanism of Full-Order Luenberger Observer based on Fuzzy Logic Applied to Direct Control by Flux Orientation without Speed Sensor for Doubly Fed Induction Motor","authors":"D. Cherifi, Y. Miloud","doi":"10.37394/23203.2024.19.4","DOIUrl":"https://doi.org/10.37394/23203.2024.19.4","url":null,"abstract":"The present work focused on the control by flow orientation without mechanical sensors on the doubly fed induction motor by the use of artificial intelligence techniques. Our main contribution lies in the development of control methodologies to improve control by flux orientation, for this, we acted on the type and control of inverters by the use of multilevel inverters and then on the observation technique of rotor speed based on the high gain Luenberger observer and improvements to the speed adaptation mechanism using fuzzy logic. Simulation tests of the proposed improvement approach were carried out at the end of this work to verify the behavior of this system in the face of different types of training.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"23 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722693","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 : 2024-04-05DOI: 10.37394/23203.2024.19.3
Hassan Al-Zoubi, Hamza Alzaareer, Mohammad Al-Rawajbeh, Mohammad Al-kafaween
In this paper, we first define relations regarding the first and the second Laplace operators corresponding to the third fundamental form III of a surface in the Euclidean space E 3 . Then, we will characterize the tubular surfaces in terms of their coordinate finite type.
在本文中，我们首先定义了与欧几里得空间 E 3 中曲面的第三基本形式 III 相对应的第一和第二拉普拉斯算子的关系。然后，我们将根据其坐标有限类型来描述管状曲面的特征。
{"title":"Characterization of Tubular Surfaces in Terms of Finite III-type","authors":"Hassan Al-Zoubi, Hamza Alzaareer, Mohammad Al-Rawajbeh, Mohammad Al-kafaween","doi":"10.37394/23203.2024.19.3","DOIUrl":"https://doi.org/10.37394/23203.2024.19.3","url":null,"abstract":"In this paper, we first define relations regarding the first and the second Laplace operators corresponding to the third fundamental form III of a surface in the Euclidean space E 3 . Then, we will characterize the tubular surfaces in terms of their coordinate finite type.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"93 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140740964","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 : 2024-02-28DOI: 10.37394/23203.2024.19.2
Patchanok Srisuradetchai, W. Phaphan
Interval forecasting is essential because it presents predictions with associated uncertainties, which are not captured by point forecasts alone. In nature, data contain variability due to measurement and random noise. In machine learning, most research focuses on point forecasts, with relatively few studies dedicated to interval forecasting, especially in areas such as agriculture. In this study, durian exports in Thailand are used as a case study. We employed Monte Carlo Dropout (MCDO) for interval forecasting and investigated the impact of various hyperparameters on the performance of Monte Carlo Dropout Neural Networks (MCDO-NNs). Our results were benchmarked against traditional models, such as the Seasonal Autoregressive Integrated Moving Average (SARIMA). The findings reveal that MCDO-NN outperforms SARIMA, achieving a lower root mean squared error of 9,570.24 and a higher R-squared value of 0.4837. The interval forecast width obtained from the MCDO-NN was narrower compared to that of SARIMA. Also, the impact of hyperparameters was observed, and it can serve as guidelines for applying MCDO-NNs to other agricultural datasets or datasets with seasonal and/or trend components.
{"title":"Using Monte-Carlo Dropout in Deep Neural Networks for Interval Forecasting of Durian Export","authors":"Patchanok Srisuradetchai, W. Phaphan","doi":"10.37394/23203.2024.19.2","DOIUrl":"https://doi.org/10.37394/23203.2024.19.2","url":null,"abstract":"Interval forecasting is essential because it presents predictions with associated uncertainties, which are not captured by point forecasts alone. In nature, data contain variability due to measurement and random noise. In machine learning, most research focuses on point forecasts, with relatively few studies dedicated to interval forecasting, especially in areas such as agriculture. In this study, durian exports in Thailand are used as a case study. We employed Monte Carlo Dropout (MCDO) for interval forecasting and investigated the impact of various hyperparameters on the performance of Monte Carlo Dropout Neural Networks (MCDO-NNs). Our results were benchmarked against traditional models, such as the Seasonal Autoregressive Integrated Moving Average (SARIMA). The findings reveal that MCDO-NN outperforms SARIMA, achieving a lower root mean squared error of 9,570.24 and a higher R-squared value of 0.4837. The interval forecast width obtained from the MCDO-NN was narrower compared to that of SARIMA. Also, the impact of hyperparameters was observed, and it can serve as guidelines for applying MCDO-NNs to other agricultural datasets or datasets with seasonal and/or trend components.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140418478","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 : 2024-01-17DOI: 10.37394/23203.2024.19.1
Ricardo Yauri, Hilcar Bermeo, Alejandro León, Oscar Llerena
Plastic has become one of the most used materials in the world for many uses, especially PET plastic (polyethylene terephthalate) which is used to make plastic containers and bottles. In addition, in recent years there has been an increase in pollution due to its waste, which affects the terrestrial, marine, and climatic ecosystems. Since 2018, in Peru, thousands of tons of PET containers have been produced, of which only 21.9% was recycled. This generates great contamination of waste by plastic bottles that are produced annually. Therefore, it is important to carry out recycling processes to avoid contamination by PET bottles, which take more than 500 years to degrade. Therefore, new recycling processes are sought in areas of interest such as 3D printing technologies. For this reason, the objective of this paper is to implement a system that performs the recycling of PET bottles for use in 3D printing and thus contributes to reducing pollution. As a result, an electronic card was obtained for the automation of the foundry machine, cutting processes, casting, extrusion, and collection of filaments. In addition, a programming algorithm was developed to monitor and display the temperature based on a closed-loop system and thus obtain a higher performance and quality of PET filament.
塑料已成为世界上用途最广泛的材料之一，尤其是用于制造塑料容器和塑料瓶的 PET 塑料（聚对苯二甲酸乙二酯）。此外，近年来由于其废弃物造成的污染也在增加，影响了陆地、海洋和气候生态系统。2018 年以来，秘鲁生产了数千吨 PET 容器，其中只有 21.9% 被回收利用。每年生产的塑料瓶造成了极大的垃圾污染。因此，必须进行回收处理，以避免 PET 瓶造成污染，因为 PET 瓶需要 500 多年才能降解。因此，人们在 3D 打印技术等感兴趣的领域寻求新的回收工艺。因此，本文的目的是实施一套系统，对 PET 瓶进行回收，用于 3D 打印，从而为减少污染做出贡献。因此，我们获得了一张电子卡，用于实现铸造机、切割过程、铸造、挤压和收集长丝的自动化。此外，还开发了一种编程算法，用于监控和显示基于闭环系统的温度，从而提高 PET 长丝的性能和质量。
{"title":"Processing System for Plastic Bottle to Obtain Polyethylene Terephthalate Filament in 3D Printers","authors":"Ricardo Yauri, Hilcar Bermeo, Alejandro León, Oscar Llerena","doi":"10.37394/23203.2024.19.1","DOIUrl":"https://doi.org/10.37394/23203.2024.19.1","url":null,"abstract":"Plastic has become one of the most used materials in the world for many uses, especially PET plastic (polyethylene terephthalate) which is used to make plastic containers and bottles. In addition, in recent years there has been an increase in pollution due to its waste, which affects the terrestrial, marine, and climatic ecosystems. Since 2018, in Peru, thousands of tons of PET containers have been produced, of which only 21.9% was recycled. This generates great contamination of waste by plastic bottles that are produced annually. Therefore, it is important to carry out recycling processes to avoid contamination by PET bottles, which take more than 500 years to degrade. Therefore, new recycling processes are sought in areas of interest such as 3D printing technologies. For this reason, the objective of this paper is to implement a system that performs the recycling of PET bottles for use in 3D printing and thus contributes to reducing pollution. As a result, an electronic card was obtained for the automation of the foundry machine, cutting processes, casting, extrusion, and collection of filaments. In addition, a programming algorithm was developed to monitor and display the temperature based on a closed-loop system and thus obtain a higher performance and quality of PET filament.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"40 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139526706","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 : 2024-01-05DOI: 10.37394/23203.2023.18.51
C. Hajiyev, U. Hacizade
In this study, a covariance matching-based adaptive measurement differencing Kalman filter (AMDKF) for the case of time-correlated measurement errors is proposed. The solution to the state estimation problem involves deriving a filter that accounts for measurement differences. Specifically, the measurement noise in the generated measurements is assumed to be correlated with the process noise. To address this issue in the context of correlated process and measurement noise, we propose an adaptive measurement differencing Kalman filter that is robust to measurement faults. We also evaluate the robustness of the suggested AMDKF through an analysis. When noise increment type sensor faults are present in the time-correlated inertial navigation systems (INS) measurements, the states of a multi-input/output aircraft model were estimated using both the previously developed measurement differencing Kalman filter (MDKF) and the suggested AMDKF and the results were compared.
{"title":"A Covariance Matching-Based Adaptive Measurement Differencing Kalman Filter for INS’s Error Compensation","authors":"C. Hajiyev, U. Hacizade","doi":"10.37394/23203.2023.18.51","DOIUrl":"https://doi.org/10.37394/23203.2023.18.51","url":null,"abstract":"In this study, a covariance matching-based adaptive measurement differencing Kalman filter (AMDKF) for the case of time-correlated measurement errors is proposed. The solution to the state estimation problem involves deriving a filter that accounts for measurement differences. Specifically, the measurement noise in the generated measurements is assumed to be correlated with the process noise. To address this issue in the context of correlated process and measurement noise, we propose an adaptive measurement differencing Kalman filter that is robust to measurement faults. We also evaluate the robustness of the suggested AMDKF through an analysis. When noise increment type sensor faults are present in the time-correlated inertial navigation systems (INS) measurements, the states of a multi-input/output aircraft model were estimated using both the previously developed measurement differencing Kalman filter (MDKF) and the suggested AMDKF and the results were compared.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"84 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139381432","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 : 2023-12-21DOI: 10.37394/23203.2023.18.50
Bubpha Jitsom, S. Sungnul, E. Kunnawuttipreechachan
The expansion approach has been used to solve the modified nonlinear Burgers' equation, which has a nonlinear convection term, a viscosity term, and a time-dependent term in its structure. In this paper, the main focus is to find exact solutions of the modified nonlinear Burgers' equation. The (G′=G)-expansion method is one of the methods used to find exact solutions of nonlinear problems. It requires an appropriate transform equation to convert partial differential equations to ordinary differential equations, making it easier to find the solution. In this work, we choose the traveling wave equation to covert the equation. The results show that the exact solutions of the modified nonlinear Burgers' equation by the (G′=G)-expansion method are decreasing if traveling wave parameter, ω, increases for the first case and the exact solution is increasing if ω is increasing for the second case. It is observed that (G′=G)-expansion method is an advanced and easy tool for finding exact solutions of the modified nonlinear Burgers' equation.
{"title":"Exact Solutions of the Modified Nonlinear Burgers' Equation","authors":"Bubpha Jitsom, S. Sungnul, E. Kunnawuttipreechachan","doi":"10.37394/23203.2023.18.50","DOIUrl":"https://doi.org/10.37394/23203.2023.18.50","url":null,"abstract":"The expansion approach has been used to solve the modified nonlinear Burgers' equation, which has a nonlinear convection term, a viscosity term, and a time-dependent term in its structure. In this paper, the main focus is to find exact solutions of the modified nonlinear Burgers' equation. The (G′=G)-expansion method is one of the methods used to find exact solutions of nonlinear problems. It requires an appropriate transform equation to convert partial differential equations to ordinary differential equations, making it easier to find the solution. In this work, we choose the traveling wave equation to covert the equation. The results show that the exact solutions of the modified nonlinear Burgers' equation by the (G′=G)-expansion method are decreasing if traveling wave parameter, ω, increases for the first case and the exact solution is increasing if ω is increasing for the second case. It is observed that (G′=G)-expansion method is an advanced and easy tool for finding exact solutions of the modified nonlinear Burgers' equation.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"42 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138952590","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 : 2023-12-14DOI: 10.37394/23203.2023.18.49
Chih-Jer Lin, Ting-Yi Sie, Yu-Sheng Chang
This study introduces a robotic control system that combines virtual reality integration and inertial measurement units (IMU) using mixed reality (MR) devices. The system integrates three main modules: (1) virtual reality (VR), which simulates remote reality by the Hololens2, (2) the wearable IMUs device, which captures the operator's hand movements; and (3) the robotic arm UR5, which is controlled by the user and the VR environment. The virtual and physical systems communicate via a Message Queuing Telemetry Transport (MQQT) communication architecture to establish communication between modules. To introduce a closed-loop control system for the robotic arm, model predictive control (MPC) was achieved with precise path planning to provide a flexible, intuitive, and reliable method to operate the remote-controlled manipulator. To validate the system integration and functions, two demonstrations were conducted: (a) the offline mode, where the VR module of the robotic arm was controlled by the IMUs device to check correctness, and (b) the online mode, where the control command was transferred to UR5 to complete a target mission via artificial potential field (APF) adjustment. The primary outcome of this study was the development of virtual and real industrial robotic arms to test the developed model in VR and shop floor labs.
{"title":"Synchronized Control of Robotic Arm based on Virtual Reality and IMU Sensing","authors":"Chih-Jer Lin, Ting-Yi Sie, Yu-Sheng Chang","doi":"10.37394/23203.2023.18.49","DOIUrl":"https://doi.org/10.37394/23203.2023.18.49","url":null,"abstract":"This study introduces a robotic control system that combines virtual reality integration and inertial measurement units (IMU) using mixed reality (MR) devices. The system integrates three main modules: (1) virtual reality (VR), which simulates remote reality by the Hololens2, (2) the wearable IMUs device, which captures the operator's hand movements; and (3) the robotic arm UR5, which is controlled by the user and the VR environment. The virtual and physical systems communicate via a Message Queuing Telemetry Transport (MQQT) communication architecture to establish communication between modules. To introduce a closed-loop control system for the robotic arm, model predictive control (MPC) was achieved with precise path planning to provide a flexible, intuitive, and reliable method to operate the remote-controlled manipulator. To validate the system integration and functions, two demonstrations were conducted: (a) the offline mode, where the VR module of the robotic arm was controlled by the IMUs device to check correctness, and (b) the online mode, where the control command was transferred to UR5 to complete a target mission via artificial potential field (APF) adjustment. The primary outcome of this study was the development of virtual and real industrial robotic arms to test the developed model in VR and shop floor labs.","PeriodicalId":39422,"journal":{"name":"WSEAS Transactions on Systems and Control","volume":"21 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971801","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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