{"title":"Acceleration Slip Regulation for Electric Vehicles Based on Fuzzy PID Controller","authors":"Andrew Nguyen, B. Nguyen, J. Trovão, M. C. Ta","doi":"10.1109/ICCAIS56082.2022.9990274","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990274","url":null,"abstract":"This paper proposes an acceleration slip regulation (ASR) by the fuzzy PID (FPID) controller for electric vehicles with four-wheel independent motor drive. The ASR architecture is hierarchically presented by three layers. The upper layer determines the total traction force based on the control of vehicle velocity. The middle layer determines optimum tire longitudinal force distribution depending on the total tire workload. In case of wheel slip, the optimum longitudinal force will be adjusted by the FPID controller. In the lower layer, the traction forces are converted to reference torque for each powertrain. The modeling and control organization of the studied vehicle are presented by using energetic macroscopic representation (EMR). Simulation tests show that ASR with FPID controller can limit the slip ratio of the wheels and improve the vehicle stability.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134406317","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}
Le Thi Tuyet Nhung, Vu Dinh Quy, Nguyen Quang Hung, Pham Xuan Tung
{"title":"Sliding Mode Control for the hovering flight of a Tilt tri-rotor UAV","authors":"Le Thi Tuyet Nhung, Vu Dinh Quy, Nguyen Quang Hung, Pham Xuan Tung","doi":"10.1109/ICCAIS56082.2022.9990488","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990488","url":null,"abstract":"The hover, transition, and fixed-wing modes are the three flight configurations available for the tilt tri-rotor unmanned aerial vehicle (UAV). . PID and SMC controllers were commonly used to build flight controllers to help realize stable flight for this UAV. The PID control method has the ability to adjust the error as low as possible, increase the response speed, reduce the overshoot, and limit the oscillation. The outstanding advantage of the sliding controller is its stability and stability even when the system has noise or when the object's parameters change over time. This paper will build flight control including attitude control, and position control for the Tilt tri-rotor model in hover mode based on PID control and SMC to evaluate their performance. First, the kinematic equations of Tilt tri-rotor UAV are built based on coordinate systems and Newton's laws. Secondly, two control diagrams and built two flight controllers based on PID and SMC control methods are investigated. Finally, the simulation results of these two methods are shown and discussed. The results show that the SMC controllers give better stability and better orbital tracking in both cases of noise and no noise.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133607047","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}
{"title":"Prediction of Frequency Response of Fully-Assembled Rotor Based on Modal Testing Data on Partially-Assembled Rotor","authors":"Khanh-Tan Le, M. Noh, Y. Park","doi":"10.1109/ICCAIS56082.2022.9990115","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990115","url":null,"abstract":"This paper explores a technique for obtaining a dynamic model that can predict a fully-assembled rotor's frequency response function. This technique just requires information on the frequency response function from a partially-assembled rotor. This research uses a rotor-like test piece as a dummy rotor for modal testing. Two methods are used to implement the technique. The first method is known as a finite element model updating method and the second one is a direct model estimation method. Both methods work in the same procedure. The first step is to get an appropriate mathematical model of the dummy rotor-only. The second step is to add a mass to the mathematical model to predict the frequency response function of the dummy rotor with additional mass. Validations show that both methods can predict the frequency response of the added-mass rotor up to the third flexible-body mode. Among these, the method of model updating shows a good agreement of resonance frequency and anti-resonance frequency between the predicted model and measured data, while the method of model estimation can match the predicted model and measured data very well in terms of resonance frequency and amplitude response.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121918477","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}
Van Du Nguyen, K. T. Nguyen, Jong-Oh Park, Eunpyo Choi
{"title":"Design, Fabrication, and Wireless Control of 3D-microprinted Robots for Biomedical Applications","authors":"Van Du Nguyen, K. T. Nguyen, Jong-Oh Park, Eunpyo Choi","doi":"10.1109/ICCAIS56082.2022.9990308","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990308","url":null,"abstract":"This paper dealt with the design, fabrication, control, and evaluation of an untethered robot for biomedical applications. Helical tubular microstructures were first printed using a two-photon lithography (2PP) system, which can precisely print 3D microstructures at a nanoscale resolution. The microstructures were then masked with dopamine using in situ polymerization to facilitate magnetic nanoparticles (MNPs) and anticancer drug deposition onto their surfaces to make the microrobots with therapeutic functions. The MNP deposition allowed the wireless manipulation of the microrobots using an external magnetic actuating (EMA) system. While the addition of an anticancer drug could be used to release to the cancer area to which the microrobots were controlled. The printed microrobots had a length of 465 μm and an outer diameter (including helical wings) of 185 μm. Under the external magnetic field, the microrobots could move using helical motion with an average velocity of as high as 126 μm/s. Moreover, they could be controlled following various predefined trajectories. Finally, the therapeutic functions of the microrobots were tested by incubating the microrobots with human-origin cancer cells. The result showed that the microrobots could effectively kill the cells following a dose-dependent manner in 24 h. Thus this work proposes an innovative approach to prepare and apply a wirelessly manipulated microrobot for active targeting and treatment of cancerous cells.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124017353","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}
{"title":"An Image Caption Model Based on the Scene Graph and Semantic Prior Network","authors":"Weifeng Liu, Nan Zhang, Yaning Wang, Wu Di","doi":"10.1109/ICCAIS56082.2022.9990458","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990458","url":null,"abstract":"In this paper, we propose an image caption model based on scene graphs and semantic priors to address the problem of traditional image caption models that are overly dependent on training data. First, the original image features and the scene graph features are fused by embedding the scene image features into the feature space. Second, using image captions from the existing dataset, the sentence reconstruction task is used to train the memory network to retain semantic prior knowledge. The scene graph features are then combined with semantic prior information to reconstruct the new features, which are then sent into the Decoder to produce an image caption.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125120393","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}
{"title":"A Modulated Model Predictive Control for Three-Phase Three-Level T-Type Inverter","authors":"Quoc-Binh Nguyen, Pham Chi Dung, Huu-Cong Vu, Tuyen Nguyen Dinh, Quoc-Hoan Tran","doi":"10.1109/ICCAIS56082.2022.9990390","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990390","url":null,"abstract":"In order to control a three-phase three-level T-type inverter, a straightforward modulated model predictive control (MPC) method with a double-objective cost function is presented in this study. The modulated MPC can provide balanced dc-link capacitor voltages and three-phase sinusoidal load current under linear loads. First, 27 potential switching vectors are used to predict the future behavior of state variables. Then, using a seven-segment switching sequence similar to that used in space-vector modulation, three active voltage vectors are chosen to correspond to the lowest value of the double-objective cost function and are applied to the inverter, resulting in a fixed switching frequency operation. To assess the performance of the modulated MPC method under various load situations, simulation results are presented.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121164351","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}
Nida Ishtiaq, A. Gostar, A. Bab-Hadiashar, Jennifer Palmer, Reza Hosseinezhad
{"title":"Interaction-Aware Labeled Multi-Bernoulli Filter with Road Constraints","authors":"Nida Ishtiaq, A. Gostar, A. Bab-Hadiashar, Jennifer Palmer, Reza Hosseinezhad","doi":"10.1109/ICCAIS56082.2022.9990395","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990395","url":null,"abstract":"Vehicle tracking is vital in many applications related to vehicle automation and surveillance. However, the realistic information regarding external influences on a vehicle’s motion is often disregarded. Many applications assume the motion of vehicles to be independent of all external factors. However, vehicles often continuously interact with other close vehicles, especially with their front vehicle. The interaction-aware labeled multi-Bernoulli (IA-LMB) filter has been explicitly designed to modify the LMB filter to incorporate distance-based interactions among targets, which is the most commonly occurring form of vehicle interaction. In this paper, we propose a new method to incorporate road-related information within the target state in the IA-LMB filter to depict further the efficacy of including realistic constraints on target motion for multi-object tracking. For a carefully designed synthetic scenario with multiple vehicle interactions and location influence on the road, we have depicted the advantages of the proposed method. Performance comparison has been conducted regarding the optimal sub-pattern assignment (OSPA) metric for the LMB filter, IA-LMB filter and the proposed method. Results show that including road information within the filtering process further enhances tracking accuracy.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115689130","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}
Yuthika Punchihewa, B. Vo, B. Vo, A. Bessell, S. Arulampalam, J. Irons, S. Davey
{"title":"Target Motion Analysis via Hard and Soft Data Fusion","authors":"Yuthika Punchihewa, B. Vo, B. Vo, A. Bessell, S. Arulampalam, J. Irons, S. Davey","doi":"10.1109/ICCAIS56082.2022.9990136","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990136","url":null,"abstract":"Target Motion Analysis (TMA) requires the online fusion of multiple hard and soft data sources for target tracking. This paper proposes a Bayesian filtering solution for multisource fusion with hard and soft data. Appropriate models for various types of hard and soft data are developed so that they can be fused in a consistent manner under the Bayesian framework. The resulting Bayes filter is highly non-linear and non-Gaussian. Hence, a parallel particle filter is developed to facilitate a user adjustable trade-off between computation time and tracking accuracy. Numerical studies on realistic scenarios are also presented.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127549471","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}
Hieu Minh Nguyen, H. M. Nguyen, Viet Hoang Pham, Quoc Van Tran, C. Nguyen, M. Trinh, H. Ahn
{"title":"Adaptive Consensus Algorithms for Matrix-Weighted Networks with Parametric Uncertainties","authors":"Hieu Minh Nguyen, H. M. Nguyen, Viet Hoang Pham, Quoc Van Tran, C. Nguyen, M. Trinh, H. Ahn","doi":"10.1109/ICCAIS56082.2022.9990537","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990537","url":null,"abstract":"In this paper, we study the consensus problem for agents with parametric uncertainties interacting over matrix-weighted graphs. First, an adaptive matrix-weighted consensus algorithms for single-integrator agents is proposed and then extended to double- and higher-order integrator agents. Second, adaptive model-reference adaptive matrix-weighted consensus and its robustness are discussed. For each proposed consensus algorithm, conditions for the adaptive variables to converge to the uncertain parameters are also given. Finally, applications of the proposed consensus algorithms in displacement-based network localization and formation control are discussed and demonstrated by simulations.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124733201","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}
M. Mallick, Xiaoqing Tian, Radhika Mandya Nagaraju, Z. Duan
{"title":"Revisiting the Bearings-only Filtering Problem","authors":"M. Mallick, Xiaoqing Tian, Radhika Mandya Nagaraju, Z. Duan","doi":"10.1109/ICCAIS56082.2022.9990280","DOIUrl":"https://doi.org/10.1109/ICCAIS56082.2022.9990280","url":null,"abstract":"We analyze the filter initialization problem in the bearings-only filtering (BOF) problem of a non-maneuvering target for the scenario where real data is processed. We assume that the target moves with the nearly constant velocity motion in the XY−plane. The ownship, also moving in the XY−plane, performs a maneuver to observe the state of the target. The state of the target is a four-dimensional Cartesian state vector with 2D position and velocity components. Although the dynamic model for the relative Cartesian state vector is widely used for state estimation in the BOF problem, we argue that it is simpler and computationally efficient to use the absolute Cartesian state vector in place of the relative Cartesian state vector. The Cartesian unscented Kalman filter (CUKF), Cartesian cubature Kalman filter (CCKF), and Cartesian PF (CPF) are used in this study. Sensor technology and real-time signal processing algorithms are expected to improve significantly in future. We analyze the performance of these filters in the high measurement accuracy and high data-rate regime. Our results show that the state estimation accuracy of all the filters in this regime are nearly the same. Therefore, a simple filter such as the CCKF is suitable with a low computational cost.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128986742","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}