Pub Date : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227194
Quan Dao Thanh, Tuan Le Quoc, Duc Bui Ha
Pulse diagnosis, an ancient technique in traditional Chinese medicine (TCM), is an effective non-invasive method for diagnosing human diseases. Traditionally, the practitioners use their fingertips to sense the pulse of the blood vessels on the patient’s wrist. However, this method heavily and subjectively depends on the doctor’s experience. Additionally, it’s impossible to store the patient’s pulse records for posterior review or analysis. To solve such restrictions, a wearable device that could precisely measure the wrist-based pulse signal and save it as digital data was proposed. In the proposed device, a piezoelectric sensor, which is a highly sensitive, lightweight, stable sensor, was used to record variations of the pulse. Since wrist pulse signals collected by the device contain various types of noises which make it difficult to assess the shape of the pulse wave, a slight low-pass filter was applied to remove high-frequency noises. The processed data was then compared with simultaneous electrocardiogram (ECG) data for the sake of evaluation. The preliminary results showed that recorded data from the proposed device is consistent with the equivalent ECG data.
{"title":"Development of a Wearable Human Pulse Measuring Device using Piezoelectric Sensor","authors":"Quan Dao Thanh, Tuan Le Quoc, Duc Bui Ha","doi":"10.1109/ICSSE58758.2023.10227194","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227194","url":null,"abstract":"Pulse diagnosis, an ancient technique in traditional Chinese medicine (TCM), is an effective non-invasive method for diagnosing human diseases. Traditionally, the practitioners use their fingertips to sense the pulse of the blood vessels on the patient’s wrist. However, this method heavily and subjectively depends on the doctor’s experience. Additionally, it’s impossible to store the patient’s pulse records for posterior review or analysis. To solve such restrictions, a wearable device that could precisely measure the wrist-based pulse signal and save it as digital data was proposed. In the proposed device, a piezoelectric sensor, which is a highly sensitive, lightweight, stable sensor, was used to record variations of the pulse. Since wrist pulse signals collected by the device contain various types of noises which make it difficult to assess the shape of the pulse wave, a slight low-pass filter was applied to remove high-frequency noises. The processed data was then compared with simultaneous electrocardiogram (ECG) data for the sake of evaluation. The preliminary results showed that recorded data from the proposed device is consistent with the equivalent ECG data.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122094695","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227182
Mohd Ashraf Ahmad, Mohd Zaidi Mohd Tumari, M. R. Ghazali, M. H. Suid, J. J. Jui
The Automatic Voltage Regulator (AVR) has been developed with the automated purpose of maintaining voltage stability for synchronous generators. This structure is often controlled by installation of the Proportional-Integral-Derivative (PID) controller. Contemporary heuristic approaches further inspired scholastic pursuits which advocate numerous innovative PID-based optimization techniques. Nevertheless, offsetting of such benefits and precision on disproportionate theoretical outcome by existence of modelling errors and uncertainties has necessitated continuous effort in tuning the PID controller. Considering possible jeopardizing of operational effectiveness and consistency through manualized optimization of controller’s parameters, the current study essentially secured the effectiveness of a PID-controlled AVR system through online tuning. The adopted indirect design technique emphasized exclusive optimization of frequency shift constant of a formerly optimized PID controller as employed within an AVR structure. Enhancement of control efficacy and operation is achievable through revised parameters in the earlier PID controller from an updated frequency shifted constant. Compatibility of the introduced optimization mechanism was contrasted against parameters of the formerly optimized PID controller on the account of maximum sensitivity, gain and phase margins. Conducted simulations demonstrate substantial enhancement in performance of AVR structure with PID con-troller through parametric refining of the introduced mechanism.
{"title":"Robust PID tuning of AVR system based on Indirect Design Approach-2","authors":"Mohd Ashraf Ahmad, Mohd Zaidi Mohd Tumari, M. R. Ghazali, M. H. Suid, J. J. Jui","doi":"10.1109/ICSSE58758.2023.10227182","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227182","url":null,"abstract":"The Automatic Voltage Regulator (AVR) has been developed with the automated purpose of maintaining voltage stability for synchronous generators. This structure is often controlled by installation of the Proportional-Integral-Derivative (PID) controller. Contemporary heuristic approaches further inspired scholastic pursuits which advocate numerous innovative PID-based optimization techniques. Nevertheless, offsetting of such benefits and precision on disproportionate theoretical outcome by existence of modelling errors and uncertainties has necessitated continuous effort in tuning the PID controller. Considering possible jeopardizing of operational effectiveness and consistency through manualized optimization of controller’s parameters, the current study essentially secured the effectiveness of a PID-controlled AVR system through online tuning. The adopted indirect design technique emphasized exclusive optimization of frequency shift constant of a formerly optimized PID controller as employed within an AVR structure. Enhancement of control efficacy and operation is achievable through revised parameters in the earlier PID controller from an updated frequency shifted constant. Compatibility of the introduced optimization mechanism was contrasted against parameters of the formerly optimized PID controller on the account of maximum sensitivity, gain and phase margins. Conducted simulations demonstrate substantial enhancement in performance of AVR structure with PID con-troller through parametric refining of the introduced mechanism.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"63 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120843853","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227183
K. H. Nguyen, Anh-Duy Pham, Tri Bien Minh, Thi-Thu-Thao Phan, X. Do
This study develops a wireless gesture recognition system for human-robot interaction using a high-speed marker-based motion capture system that requires no hardware development and no onboard power source. A novel gesture recognition model recognizes four gestures performed while holding a rigid-body object and translates them into robot control signals. The gestures are Flick Back to Front, Flick Front to Back, Rotate Clockwise, and Rotate Counter-clockwise. The system has four main components: a host PC with Vicon Tracker software, a set of Vicon Vantage V8 infrared cameras, a client PC that receives motion capture data and translates gestures to instruct a simulated KUKA youBot robot in the Gazebo simulation environment, and a gesture input unit. The poses of the gesture input unit are used to train the model using a surrogate deep neural network and the XGBoost ensemble method in a semi-supervised setting. The algorithm’s decision-making process is explicated through the implementation of the Layer-wise Relevance Propagation methodology in PyTorch. The control approach is similar to the way trainers teach domestic pets to perform specific actions in response to different gestures. The proposed method offers an alternative to commanding the robot through typing or using joysticks. The current gesture recognition rate is around 60%, but performance will improve over time as new training samples are collected and event detection algorithms are improved to avoid misinterpreting unrelated movements as classified gestures.
{"title":"Gesture Recognition Model with Multi-Tracking Capture System for Human-Robot Interaction","authors":"K. H. Nguyen, Anh-Duy Pham, Tri Bien Minh, Thi-Thu-Thao Phan, X. Do","doi":"10.1109/ICSSE58758.2023.10227183","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227183","url":null,"abstract":"This study develops a wireless gesture recognition system for human-robot interaction using a high-speed marker-based motion capture system that requires no hardware development and no onboard power source. A novel gesture recognition model recognizes four gestures performed while holding a rigid-body object and translates them into robot control signals. The gestures are Flick Back to Front, Flick Front to Back, Rotate Clockwise, and Rotate Counter-clockwise. The system has four main components: a host PC with Vicon Tracker software, a set of Vicon Vantage V8 infrared cameras, a client PC that receives motion capture data and translates gestures to instruct a simulated KUKA youBot robot in the Gazebo simulation environment, and a gesture input unit. The poses of the gesture input unit are used to train the model using a surrogate deep neural network and the XGBoost ensemble method in a semi-supervised setting. The algorithm’s decision-making process is explicated through the implementation of the Layer-wise Relevance Propagation methodology in PyTorch. The control approach is similar to the way trainers teach domestic pets to perform specific actions in response to different gestures. The proposed method offers an alternative to commanding the robot through typing or using joysticks. The current gesture recognition rate is around 60%, but performance will improve over time as new training samples are collected and event detection algorithms are improved to avoid misinterpreting unrelated movements as classified gestures.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129463554","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227175
Wen-Shyong Yu
Micro unmanned aerial vehicles (MUAVs) often need to perform maneuvering in an unstructured environment with narrow gaps and confined spaces in-between obstacles due to low-altitude flight. Therefore, this paper proposes a feasible flying trajectories planning scheme based on micro drones orientations and dynamics for the micro drones with external disturbances to pass through narrowly in-between obstacles to the desired position. In order to incorporate quadrotor’ orientations and dynamics into the flying trajectory planning, we first consider the dynamics modeling within the ellipsoidal coordinates, and employ the convex separation hyperplane theorem of the flight constraints to set up the trajectory. As for controlling the quadrotor, an online adaptive fuzzy control is used to achieve robust tracking performance even under disturbances. Finally, five drones flying experiments under various flying constraints are used to show the effectiveness of the proposed scheme to follow a feasible and obstacles gaps trajectory and reach the desired position.
{"title":"Narrow Gaps Crossing Flight Trajectory Tracking for MUAVs Using Adaptive Fuzzy Balance Control","authors":"Wen-Shyong Yu","doi":"10.1109/ICSSE58758.2023.10227175","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227175","url":null,"abstract":"Micro unmanned aerial vehicles (MUAVs) often need to perform maneuvering in an unstructured environment with narrow gaps and confined spaces in-between obstacles due to low-altitude flight. Therefore, this paper proposes a feasible flying trajectories planning scheme based on micro drones orientations and dynamics for the micro drones with external disturbances to pass through narrowly in-between obstacles to the desired position. In order to incorporate quadrotor’ orientations and dynamics into the flying trajectory planning, we first consider the dynamics modeling within the ellipsoidal coordinates, and employ the convex separation hyperplane theorem of the flight constraints to set up the trajectory. As for controlling the quadrotor, an online adaptive fuzzy control is used to achieve robust tracking performance even under disturbances. Finally, five drones flying experiments under various flying constraints are used to show the effectiveness of the proposed scheme to follow a feasible and obstacles gaps trajectory and reach the desired position.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128378372","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227164
Ngoc Thien Nguyen, Thi My Ngoc Nguyen, Hai Ninh Tong, H-V-A Truong, D. Tran
Accurate dynamics play crucial roles in designing advanced control algorithms to ensure the feasibility, stability, and efficiency of the system. However, the manipulator is a complex multi-input-multi-output system, and so many system noises seriously affect parameter identification results, thereby the process of determining them is challenging. In order to manage this challenge, a Least Squares (LS) method is proposed to estimate the dynamic parameters. First of all, the kinematics of the system is built according to Denavit-Hartenberg (DH) notation, and the dynamic model is calculated by using Lagrange-Euler equations. After that, the regrouped parameters in the dynamic model are given to the general linear matrix to apply the least squares method for the model. Finally, to demonstrate the effectiveness and reliability of the proposed method, data acquisition is carried out by using a PD controller in simulations via Simscape Multibody/MATLAB Simulink for the dynamic estimate model and the Solidworks robot model. After that, the Root Mean Squared Error (RMSE) formula is used to analyze the accuracy of the LS method.
{"title":"Dynamic Parameter Identification based on the Least Squares method for a 6-DOF Manipulator","authors":"Ngoc Thien Nguyen, Thi My Ngoc Nguyen, Hai Ninh Tong, H-V-A Truong, D. Tran","doi":"10.1109/ICSSE58758.2023.10227164","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227164","url":null,"abstract":"Accurate dynamics play crucial roles in designing advanced control algorithms to ensure the feasibility, stability, and efficiency of the system. However, the manipulator is a complex multi-input-multi-output system, and so many system noises seriously affect parameter identification results, thereby the process of determining them is challenging. In order to manage this challenge, a Least Squares (LS) method is proposed to estimate the dynamic parameters. First of all, the kinematics of the system is built according to Denavit-Hartenberg (DH) notation, and the dynamic model is calculated by using Lagrange-Euler equations. After that, the regrouped parameters in the dynamic model are given to the general linear matrix to apply the least squares method for the model. Finally, to demonstrate the effectiveness and reliability of the proposed method, data acquisition is carried out by using a PD controller in simulations via Simscape Multibody/MATLAB Simulink for the dynamic estimate model and the Solidworks robot model. After that, the Root Mean Squared Error (RMSE) formula is used to analyze the accuracy of the LS method.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130560650","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}
Advances in deep convolutional neural networks (CNNs) have shown excellent performances on image processing applications including segmentation for medical images. Nevertheless, CNN-based approaches like the Fully Convolutional Neural Networks (FCNs), Unet and variants for image segmentation often meet difficulties when expressing long-range dependency because of the locality properties of convolutional operations. In an alternative, the network models based on transformers have global context of the image and features, thus better expressing long-range dependency. Though having advantages, the transformer-based approach often lacks local information context, thus limiting certain applications like medical images. In the current study, we propose a new model that can inherit advantages of both global and local contexts of the two above approaches by using CNN and Transformer branches, and introduced the Convmixer and Progressive Atrous Spatial Pyramidal Pooling modules in the bottlenecks of each branches. The proposed model has been validated on various medical image databases including the Data science bowls 2018, and GlaS datasets. High evaluation scores including Dice score and Intersection Over Union metric have shown performance of the proposed segmentation model while compared with recent neural network models.
{"title":"A CNN-Transformer-based Approach for Medical Image Segmentation","authors":"Thi-Thao Tran, Dinh-Thien Vu, Thi-Hue Nguyen, Van-Truong Pham","doi":"10.1109/ICSSE58758.2023.10227162","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227162","url":null,"abstract":"Advances in deep convolutional neural networks (CNNs) have shown excellent performances on image processing applications including segmentation for medical images. Nevertheless, CNN-based approaches like the Fully Convolutional Neural Networks (FCNs), Unet and variants for image segmentation often meet difficulties when expressing long-range dependency because of the locality properties of convolutional operations. In an alternative, the network models based on transformers have global context of the image and features, thus better expressing long-range dependency. Though having advantages, the transformer-based approach often lacks local information context, thus limiting certain applications like medical images. In the current study, we propose a new model that can inherit advantages of both global and local contexts of the two above approaches by using CNN and Transformer branches, and introduced the Convmixer and Progressive Atrous Spatial Pyramidal Pooling modules in the bottlenecks of each branches. The proposed model has been validated on various medical image databases including the Data science bowls 2018, and GlaS datasets. High evaluation scores including Dice score and Intersection Over Union metric have shown performance of the proposed segmentation model while compared with recent neural network models.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129222902","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227249
Thai An Nguyen, N. A. Nguyen, T. N. Le, Trung-Hieu Dang, Anh Dong Le Nguyen, Quoc-Bao Tran, Phuong Nam Nguyen
This article proposes a method for ranking the loads in a microgrid based on a weighted combination of technical and economic criteria. The Fuzzy VIKOR algorithm is proposed to calculate this combined weight. The considered criteria are the Load Importance Factor (LIF), the voltage electrical distance (VED), and the Voltage Sensitivity Index (VSI). When ranking the loads based on these criteria, it is difficult to avoid conflicts between them. Therefore, VIKOR is used to solve this problem because it focuses on ranking and selecting from a set of alternative solutions when the criteria are in conflict. Additionally, it proposes a compromise solution between the criteria. The Fuzzy trapezoid is used to handle imprecise comparisons when comparing criteria. Fuzzy operations and ranking procedures for fuzzy numbers are used to develop the Fuzzy VIKOR algorithm. Therefore, Fuzzy VIKOR is based on the fuzzy composite value representing the distance of an alternative solution from the ideal solution. The microgrid system with 16 buses is used to test the load ranking using the Fuzzy VIKOR method.
{"title":"Applying Fuzzy VIKOR algorithm in load ranking for load shedding problem in Microgrid","authors":"Thai An Nguyen, N. A. Nguyen, T. N. Le, Trung-Hieu Dang, Anh Dong Le Nguyen, Quoc-Bao Tran, Phuong Nam Nguyen","doi":"10.1109/ICSSE58758.2023.10227249","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227249","url":null,"abstract":"This article proposes a method for ranking the loads in a microgrid based on a weighted combination of technical and economic criteria. The Fuzzy VIKOR algorithm is proposed to calculate this combined weight. The considered criteria are the Load Importance Factor (LIF), the voltage electrical distance (VED), and the Voltage Sensitivity Index (VSI). When ranking the loads based on these criteria, it is difficult to avoid conflicts between them. Therefore, VIKOR is used to solve this problem because it focuses on ranking and selecting from a set of alternative solutions when the criteria are in conflict. Additionally, it proposes a compromise solution between the criteria. The Fuzzy trapezoid is used to handle imprecise comparisons when comparing criteria. Fuzzy operations and ranking procedures for fuzzy numbers are used to develop the Fuzzy VIKOR algorithm. Therefore, Fuzzy VIKOR is based on the fuzzy composite value representing the distance of an alternative solution from the ideal solution. The microgrid system with 16 buses is used to test the load ranking using the Fuzzy VIKOR method.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358836","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 : 2023-07-27DOI: 10.1109/icsse58758.2023.10227210
{"title":"Copyright Page","authors":"","doi":"10.1109/icsse58758.2023.10227210","DOIUrl":"https://doi.org/10.1109/icsse58758.2023.10227210","url":null,"abstract":"","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121234754","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227232
H. Trần, N. Vo, H. Quyen
Today, energy is a topical issue for the developing economy and the growing population, and electrical energy plays a key role. The power system is both continuously expanding generations and developing transmission lines. The efficient problem and the optimal generation is an issue in which researchers are very interested. Therefore, the problem is the optimization in the grid expansion planning for development load, which is a very important issue in the power system. To solve the transmission expansion planning, there are many algorithms that have been applied to efficiency but need a lot of input data, a little computing time, etc. In the proposed methodology, a DC power flow subproblem is solved for each network resulting from adding a potential solution developed by the cuckoo search algorithm to the base network. The cuckoo search algorithm will apply to the transmission expansion planning problem that proves 46 bus system with many constraints, and it brings the optimization solution to meet the load demand in the future. The new solutions achieve a remarkable reduction in the total investment cost.
{"title":"A Cuckoo Search Algorithm for Transmission Expansion Planning","authors":"H. Trần, N. Vo, H. Quyen","doi":"10.1109/ICSSE58758.2023.10227232","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227232","url":null,"abstract":"Today, energy is a topical issue for the developing economy and the growing population, and electrical energy plays a key role. The power system is both continuously expanding generations and developing transmission lines. The efficient problem and the optimal generation is an issue in which researchers are very interested. Therefore, the problem is the optimization in the grid expansion planning for development load, which is a very important issue in the power system. To solve the transmission expansion planning, there are many algorithms that have been applied to efficiency but need a lot of input data, a little computing time, etc. In the proposed methodology, a DC power flow subproblem is solved for each network resulting from adding a potential solution developed by the cuckoo search algorithm to the base network. The cuckoo search algorithm will apply to the transmission expansion planning problem that proves 46 bus system with many constraints, and it brings the optimization solution to meet the load demand in the future. The new solutions achieve a remarkable reduction in the total investment cost.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133734493","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227151
Pham Quoc Khanh, N. Dat, H. Anh
This paper proposes an advanced optimal Fuzzy PI algorithm to ameliorate the effectiveness of PMSM velocity control and minimize the computation burden in the digital signal processing (DSP) controller experimentally embedded. Compared with the conventional FOC-PI and the Fuzzy PI control techniques, the response time regarding the PMSM referential speed and the load torque variations are significantly reduced. Furthermore, both the amplitude of PMSM speed fluctuations and the PMSM stator current ripple are minimally optimized using the DE optimization algorithm. The experimental results show that the PMSM speed control method using the optimal Fuzzy PI algorithm ensures practicality, stability, robustness, and high quality.
{"title":"Optimal Fuzzy-PI PMSM Speed Control Using Evolutionary DE Algorithm Implemented on DSP Controller","authors":"Pham Quoc Khanh, N. Dat, H. Anh","doi":"10.1109/ICSSE58758.2023.10227151","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227151","url":null,"abstract":"This paper proposes an advanced optimal Fuzzy PI algorithm to ameliorate the effectiveness of PMSM velocity control and minimize the computation burden in the digital signal processing (DSP) controller experimentally embedded. Compared with the conventional FOC-PI and the Fuzzy PI control techniques, the response time regarding the PMSM referential speed and the load torque variations are significantly reduced. Furthermore, both the amplitude of PMSM speed fluctuations and the PMSM stator current ripple are minimally optimized using the DE optimization algorithm. The experimental results show that the PMSM speed control method using the optimal Fuzzy PI algorithm ensures practicality, stability, robustness, and high quality.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030471","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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