Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545209
Dongtao Wei, Xiaodong Liu, Pu Zhu, Peng Li
Aiming at the problem of evaluating the development direction of weapon equipment system capabilities in an intuitionistic fuzzy environment with unknown expert weights, a multi-criteria group decision-making method based on expert similarity and prospect theory is proposed. First, linguistic variables and quantitative index values are transformed into intuitionistic fuzzy numbers. According to the similarity between the expert and the group consensus in the evaluation information, the objective weight is assigned to the individual expert, which is integrated with the subjective weight to obtain the comprehensive weight of the expert. Then, the initial intuitionistic fuzzy matrix is integrated with the intuitionistic fuzzy weighted average operator, combined with the prospect theory, the prospective decision matrix is obtained in the form of intuitionistic fuzzy number, Finally, The TOPSIS method is used to sort the alternatives, and an example is used to illustrate the application of this method.
{"title":"Evaluation of the Development Direction of Weapon System of Systems Capabilities Based on Similarity and Prospect Theory","authors":"Dongtao Wei, Xiaodong Liu, Pu Zhu, Peng Li","doi":"10.1109/ICCSSE52761.2021.9545209","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545209","url":null,"abstract":"Aiming at the problem of evaluating the development direction of weapon equipment system capabilities in an intuitionistic fuzzy environment with unknown expert weights, a multi-criteria group decision-making method based on expert similarity and prospect theory is proposed. First, linguistic variables and quantitative index values are transformed into intuitionistic fuzzy numbers. According to the similarity between the expert and the group consensus in the evaluation information, the objective weight is assigned to the individual expert, which is integrated with the subjective weight to obtain the comprehensive weight of the expert. Then, the initial intuitionistic fuzzy matrix is integrated with the intuitionistic fuzzy weighted average operator, combined with the prospect theory, the prospective decision matrix is obtained in the form of intuitionistic fuzzy number, Finally, The TOPSIS method is used to sort the alternatives, and an example is used to illustrate the application of this method.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125163404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545156
Haifen Li, Yu-qing Shen, Lianwei Ma
A new rate-dependent hysteresis model and a nonsmooth Kalman filtering are proposed for the state estimation of the rate-dependent hysteresis in piezoceramic actuators disturbed by stochastic noise. In the modeling scheme, a sandwich model with rate-dependent hysteresis consists of both input and output linear subsystem. Firstly, according to the properties of this complex nonlinear system, a non-smooth stochastic state-space model is introduced. Then, an auto-switcher filter is introduced to solve the state estimation of the rate-dependent hysteresis. The filter can be switched automatically according to the operating conditions. Moreover, the convergence of the proposed novel filter method is studied. Finally, the simulation result shows that the rate-dependent hysteresis model is used to describe the properties of piezoelectric actuators more accurate than the static hysteresis model when the frequency of input voltage is increasing, and the estimation errors of the non-smooth filter can converge close to zero quickly.
{"title":"A State Estimator for Sandwich Hysteresis Systems","authors":"Haifen Li, Yu-qing Shen, Lianwei Ma","doi":"10.1109/ICCSSE52761.2021.9545156","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545156","url":null,"abstract":"A new rate-dependent hysteresis model and a nonsmooth Kalman filtering are proposed for the state estimation of the rate-dependent hysteresis in piezoceramic actuators disturbed by stochastic noise. In the modeling scheme, a sandwich model with rate-dependent hysteresis consists of both input and output linear subsystem. Firstly, according to the properties of this complex nonlinear system, a non-smooth stochastic state-space model is introduced. Then, an auto-switcher filter is introduced to solve the state estimation of the rate-dependent hysteresis. The filter can be switched automatically according to the operating conditions. Moreover, the convergence of the proposed novel filter method is studied. Finally, the simulation result shows that the rate-dependent hysteresis model is used to describe the properties of piezoelectric actuators more accurate than the static hysteresis model when the frequency of input voltage is increasing, and the estimation errors of the non-smooth filter can converge close to zero quickly.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125199691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545165
Xiaohang Li, Zhifang Shao
In order to promote the development of low-carbon economy, the proportion of renewable energy in the power system increases, providing clean and cheap power resources for the society. However, the intermittency and volatility of its power output increases the challenge of stable operation of the power grid, and brings about the problem of abandoning wind and light. The existing power system urgently needs additional reserve capacity to realize dynamic supply and demand balance and provide auxiliary services of frequency and voltage modulation. In this paper, electrochemical energy storage, hydrogen energy storage, synthetic natural gas energy storage and other technologies are considered to establish a benefit evaluation model of multi-energy complementary power generation system, and the improved particle swarm optimization algorithm is used to carry out economic optimization scheduling of the system. The results show that the combination of a variety of energy storage technologies with a high proportion of renewable energy generation system can improve the level of system stability and optimize the economic operation of the power system.
{"title":"An Economic Optimal Scheduling Model for a Multi-energy Complementary Power Generation System with Multiple Energy Storage","authors":"Xiaohang Li, Zhifang Shao","doi":"10.1109/ICCSSE52761.2021.9545165","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545165","url":null,"abstract":"In order to promote the development of low-carbon economy, the proportion of renewable energy in the power system increases, providing clean and cheap power resources for the society. However, the intermittency and volatility of its power output increases the challenge of stable operation of the power grid, and brings about the problem of abandoning wind and light. The existing power system urgently needs additional reserve capacity to realize dynamic supply and demand balance and provide auxiliary services of frequency and voltage modulation. In this paper, electrochemical energy storage, hydrogen energy storage, synthetic natural gas energy storage and other technologies are considered to establish a benefit evaluation model of multi-energy complementary power generation system, and the improved particle swarm optimization algorithm is used to carry out economic optimization scheduling of the system. The results show that the combination of a variety of energy storage technologies with a high proportion of renewable energy generation system can improve the level of system stability and optimize the economic operation of the power system.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127642848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545208
Duo Qi, Hongnan Li, Xiaoyue Ren, Pingni Liu, Cong Wang, Pengfei Lei
A three-dimensional visual flight control simulation experiment platform based on FlightGear is designed to study the flight control of quadrotors. The simulation model and flight control algorithm are written in Matlab/Simulink. The platform’s functions include real-time display of three-dimensional flight scenes, display of flight control and corresponding processes, and display of curves of flight status variables. The simulation platform intuitively shows the correlation between mathematical variables and their physical meanings, and promotes students' understanding of control theory. In addition, the platform also has a strong openness, which can meet the needs of students to independently learn flight control theory and design control algorithms, and effectively improve the learning effect.
{"title":"Visual Simulation in Flight Control Process for Quadrotor","authors":"Duo Qi, Hongnan Li, Xiaoyue Ren, Pingni Liu, Cong Wang, Pengfei Lei","doi":"10.1109/ICCSSE52761.2021.9545208","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545208","url":null,"abstract":"A three-dimensional visual flight control simulation experiment platform based on FlightGear is designed to study the flight control of quadrotors. The simulation model and flight control algorithm are written in Matlab/Simulink. The platform’s functions include real-time display of three-dimensional flight scenes, display of flight control and corresponding processes, and display of curves of flight status variables. The simulation platform intuitively shows the correlation between mathematical variables and their physical meanings, and promotes students' understanding of control theory. In addition, the platform also has a strong openness, which can meet the needs of students to independently learn flight control theory and design control algorithms, and effectively improve the learning effect.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127728912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545089
Ye Liu, Weipeng Cao, Yiwen Liu, Dachuan Li, Qiang Wang
Online Sequential Extreme Learning Machine (OS-ELM) has been confirmed by numerous studies to be an effective algorithm for online learning scenarios. However, we found that some parameters of OS-ELM are randomly assigned and remain unchanged in the subsequent learning process, which leads to great instability in the model performance in practice. To alleviate this problem, we propose a novel ensemble OS-ELM algorithm (EOS-ELM-R) for solving air quality prediction problems. EOS-ELM-R uses multiple distribution functions to initialize the random parameters of the base OS-ELM models and its final output is the average of the predictions of these base models. Extensive experimental results on two real-world air quality prediction problems show that EOS-ELM-R is effective, and it can achieve better generalization capabilities than similar algorithms.
{"title":"Ensemble Online Sequential Extreme Learning Machine for Air Quality Prediction","authors":"Ye Liu, Weipeng Cao, Yiwen Liu, Dachuan Li, Qiang Wang","doi":"10.1109/ICCSSE52761.2021.9545089","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545089","url":null,"abstract":"Online Sequential Extreme Learning Machine (OS-ELM) has been confirmed by numerous studies to be an effective algorithm for online learning scenarios. However, we found that some parameters of OS-ELM are randomly assigned and remain unchanged in the subsequent learning process, which leads to great instability in the model performance in practice. To alleviate this problem, we propose a novel ensemble OS-ELM algorithm (EOS-ELM-R) for solving air quality prediction problems. EOS-ELM-R uses multiple distribution functions to initialize the random parameters of the base OS-ELM models and its final output is the average of the predictions of these base models. Extensive experimental results on two real-world air quality prediction problems show that EOS-ELM-R is effective, and it can achieve better generalization capabilities than similar algorithms.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133528442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545155
Yu Bao, Lin Wu, Canghua Jiang, Xuanzhengbo Ren, Mingming Zhu, Menghao Dong, Kewei Liu, Zifa Wang
Emission inventory is important for air pollution prevention and control as well as carbon management for cities because they pinpoint when and where air pollutants and carbon dioxide are emitted. However, the compilation of emission inventory involves cumbersome data collection from diverse parties about the combustion activities and related emission factors that convert activity data to emissions. Here we design and implement a cloud-based information system that can facilitate efficient emission inventory compilation. We base our information system on cloud infrastructure and adopt a microservice architecture in which the data and computing needed in inventory compilation are accessed through service consumptions. This makes the inventory compilation processes online, digital and distributive, and enables seamless data sharing and collaborative compilation. By this way, scalable timely high-resolution emission inventory can be achieved for a rapid response mechanism where regulations, scientific data and computing, and local actions can be connected for efficient digital governance of urban air pollution and carbon management. We illustrate applications of our cloud-based information system for the emission inventory compilation of a coastal city in China to prove the effectiveness of our design.
{"title":"A Cloud-Based Information System of Emission Inventory Compilation for Digital Governance of Urban Air Pollution and Carbon Management","authors":"Yu Bao, Lin Wu, Canghua Jiang, Xuanzhengbo Ren, Mingming Zhu, Menghao Dong, Kewei Liu, Zifa Wang","doi":"10.1109/ICCSSE52761.2021.9545155","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545155","url":null,"abstract":"Emission inventory is important for air pollution prevention and control as well as carbon management for cities because they pinpoint when and where air pollutants and carbon dioxide are emitted. However, the compilation of emission inventory involves cumbersome data collection from diverse parties about the combustion activities and related emission factors that convert activity data to emissions. Here we design and implement a cloud-based information system that can facilitate efficient emission inventory compilation. We base our information system on cloud infrastructure and adopt a microservice architecture in which the data and computing needed in inventory compilation are accessed through service consumptions. This makes the inventory compilation processes online, digital and distributive, and enables seamless data sharing and collaborative compilation. By this way, scalable timely high-resolution emission inventory can be achieved for a rapid response mechanism where regulations, scientific data and computing, and local actions can be connected for efficient digital governance of urban air pollution and carbon management. We illustrate applications of our cloud-based information system for the emission inventory compilation of a coastal city in China to prove the effectiveness of our design.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133113612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545111
Cui Chenpeng, Jiu Yuanwei, Wang Chun
This paper proposed an innovative real-time embedded control system for satellite scanning mirror mechanism. The mechanism element was assembled with two supporting pivots on the axis with an angular sensor and a voice motor accurate. The control precision of the scanning mirror is stringent in space remote target detection, at the same time angle position of the equipment was required to send to ground on time. The implementation of the embedded hardware and algorithm system are described in steps. The scanning mirror mechanism with voice-coil motor is identified and a forward feedback control topology is been described to realize the position trajectory control of the prototype. The prototype mechanism using the BMTI microcontroller 32 bit for the voice-coil motor control is exhibited. A real-time bidirectional data exchange between the microcontroller and the computer with user definition protocols 422 electrical bus is presented.
{"title":"Embedded Control of Scanning Mirror","authors":"Cui Chenpeng, Jiu Yuanwei, Wang Chun","doi":"10.1109/ICCSSE52761.2021.9545111","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545111","url":null,"abstract":"This paper proposed an innovative real-time embedded control system for satellite scanning mirror mechanism. The mechanism element was assembled with two supporting pivots on the axis with an angular sensor and a voice motor accurate. The control precision of the scanning mirror is stringent in space remote target detection, at the same time angle position of the equipment was required to send to ground on time. The implementation of the embedded hardware and algorithm system are described in steps. The scanning mirror mechanism with voice-coil motor is identified and a forward feedback control topology is been described to realize the position trajectory control of the prototype. The prototype mechanism using the BMTI microcontroller 32 bit for the voice-coil motor control is exhibited. A real-time bidirectional data exchange between the microcontroller and the computer with user definition protocols 422 electrical bus is presented.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115063667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545116
Yunwen Xiong, Caisheng Wei, Zeyang Yin
This paper investigates an attitude tracking control problem of spacecraft subject to actuator saturation and inertial uncertainties. Aiming at alleviating the negative effects of actuator saturation and parameter uncertainties, an adaptive prescribed performance attitude control scheme is proposed via exploring the reinforcement learning policy. By constructing a critic network and an action network, the approximations of the optimal objective function and the optimal control gains of the spacecraft attitude tracking error system are realized. A group of numerical examples is organized to validate the effectiveness and robustness of the proposed attitude control scheme with respect to actuator saturation and inertia uncertainties.
{"title":"Reinforcement Learning Based Attitude Tracking Control of Spacecraft with Actuator Saturation and Inertial Uncertainty","authors":"Yunwen Xiong, Caisheng Wei, Zeyang Yin","doi":"10.1109/ICCSSE52761.2021.9545116","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545116","url":null,"abstract":"This paper investigates an attitude tracking control problem of spacecraft subject to actuator saturation and inertial uncertainties. Aiming at alleviating the negative effects of actuator saturation and parameter uncertainties, an adaptive prescribed performance attitude control scheme is proposed via exploring the reinforcement learning policy. By constructing a critic network and an action network, the approximations of the optimal objective function and the optimal control gains of the spacecraft attitude tracking error system are realized. A group of numerical examples is organized to validate the effectiveness and robustness of the proposed attitude control scheme with respect to actuator saturation and inertia uncertainties.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121295483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545107
Peng Liang, Dong Liang, Yin Hong, W. Jianwei
Nonlinearity of digital receiver is actively utilized for security of communication. This paper develops an adaptive nonlinear transform algorithm for enhancing anti-attack ability of communication system. The nonlinear characteristic which is transparent to authorized consumer, is added to the linear modulated signal. The useful information is hidden in nonlinear distorted signal which seems to be meaningless. For non-cooperative receiver, the obstacle of nonlinearity is produced in receiving and judging process. On the other hand, cooperative receiver can successfully obtain the information by inverse nonlinear transform using private key. A blind identification of adaptive nonlinear control for inverse nonlinear transform is proposed. Experimental results on simulation show that with the proposed technique, the Spurs-Free-Dynamic-Range with 16QAM signal after nonlinear transform is 31dB worse than that of before nonlinear transform. The 16QAM signal can be recovered by inverse transform.
{"title":"Inverse Control of Nonlinear Distortion in Adaptive System","authors":"Peng Liang, Dong Liang, Yin Hong, W. Jianwei","doi":"10.1109/ICCSSE52761.2021.9545107","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545107","url":null,"abstract":"Nonlinearity of digital receiver is actively utilized for security of communication. This paper develops an adaptive nonlinear transform algorithm for enhancing anti-attack ability of communication system. The nonlinear characteristic which is transparent to authorized consumer, is added to the linear modulated signal. The useful information is hidden in nonlinear distorted signal which seems to be meaningless. For non-cooperative receiver, the obstacle of nonlinearity is produced in receiving and judging process. On the other hand, cooperative receiver can successfully obtain the information by inverse nonlinear transform using private key. A blind identification of adaptive nonlinear control for inverse nonlinear transform is proposed. Experimental results on simulation show that with the proposed technique, the Spurs-Free-Dynamic-Range with 16QAM signal after nonlinear transform is 31dB worse than that of before nonlinear transform. The 16QAM signal can be recovered by inverse transform.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116881241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.1109/ICCSSE52761.2021.9545161
A. Olaru, T. Dobrescu, S. Olaru, Niculae Mihai
This paper shown one matrix method for assisted analyze of the Kinematics in Robotics by using the Virtual LabVIEW instrumentation. This purpose offers the possibility for applicants to choose the best controlling algorithm of the movement after were analyzed the results of positions and velocities characteristics. The virtual simulation of them assures the best choose of the robot’s movements with the minimum variation of the velocities. By applying the pounder theory, were established the best behavior between all analyzed movement cases: simultaneously, successive, simultaneously after successive in the acceleration period, or simultaneously and successive in the deceleration period. Other goals of the research were to show all components of the used virtual instrumentation (VI) and the obtained results after the simulation work. For generality of the study, the proper LabVIEW VI-s contents the tab and case control of different types of robots that it is usually: Gun, Scale, Arm, Cartesian and Double Portal and the mathematical matrix model for positions and velocities. This analyze offers to researchers one virtual instrument what could be used to choose the best solution of the robot’s, or of the movements type, or of one special controlling algorithm for one application.
{"title":"Assisted Analyze of the Kinematics in Robotics","authors":"A. Olaru, T. Dobrescu, S. Olaru, Niculae Mihai","doi":"10.1109/ICCSSE52761.2021.9545161","DOIUrl":"https://doi.org/10.1109/ICCSSE52761.2021.9545161","url":null,"abstract":"This paper shown one matrix method for assisted analyze of the Kinematics in Robotics by using the Virtual LabVIEW instrumentation. This purpose offers the possibility for applicants to choose the best controlling algorithm of the movement after were analyzed the results of positions and velocities characteristics. The virtual simulation of them assures the best choose of the robot’s movements with the minimum variation of the velocities. By applying the pounder theory, were established the best behavior between all analyzed movement cases: simultaneously, successive, simultaneously after successive in the acceleration period, or simultaneously and successive in the deceleration period. Other goals of the research were to show all components of the used virtual instrumentation (VI) and the obtained results after the simulation work. For generality of the study, the proper LabVIEW VI-s contents the tab and case control of different types of robots that it is usually: Gun, Scale, Arm, Cartesian and Double Portal and the mathematical matrix model for positions and velocities. This analyze offers to researchers one virtual instrument what could be used to choose the best solution of the robot’s, or of the movements type, or of one special controlling algorithm for one application.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122713688","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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