Pub Date : 2019-05-01DOI: 10.1109/icacmve.2019.00020
Chen Ping, Zhang Jun-zhe
In transient distributed cloud computing environment, software is vulnerable to attack, which leads to software functional completeness, so it is necessary to carry out functional testing. In order to solve the problem of high overhead and high complexity of unsupervised test methods, an intelligent evaluation method for transient analysis software function testing based on active depth learning algorithm is proposed. Firstly, the active deep learning mathematical model of transient analysis software function test is constructed by using association rule mining method, and the correlation dimension characteristics of software function failure are analyzed. Then the reliability of the software is measured by the spectral density distribution method of software functional completeness. The intelligent evaluation model of transient analysis software function testing is established in the transient distributed cloud computing environment, and the function testing and reliability intelligent evaluation are realized. Finally, the performance of the transient analysis software is verified by the simulation experiment. The results show that the accuracy of the software functional integrity positioning is high and the intelligent evaluation of the transient analysis software function testing has a good self-adaptability by using this method to carry out the function test of the transient analysis software. It ensures the safe and reliable operation of the software.
{"title":"Research on Intelligent Evaluation Method of Transient Analysis Software Function Test","authors":"Chen Ping, Zhang Jun-zhe","doi":"10.1109/icacmve.2019.00020","DOIUrl":"https://doi.org/10.1109/icacmve.2019.00020","url":null,"abstract":"In transient distributed cloud computing environment, software is vulnerable to attack, which leads to software functional completeness, so it is necessary to carry out functional testing. In order to solve the problem of high overhead and high complexity of unsupervised test methods, an intelligent evaluation method for transient analysis software function testing based on active depth learning algorithm is proposed. Firstly, the active deep learning mathematical model of transient analysis software function test is constructed by using association rule mining method, and the correlation dimension characteristics of software function failure are analyzed. Then the reliability of the software is measured by the spectral density distribution method of software functional completeness. The intelligent evaluation model of transient analysis software function testing is established in the transient distributed cloud computing environment, and the function testing and reliability intelligent evaluation are realized. Finally, the performance of the transient analysis software is verified by the simulation experiment. The results show that the accuracy of the software functional integrity positioning is high and the intelligent evaluation of the transient analysis software function testing has a good self-adaptability by using this method to carry out the function test of the transient analysis software. It ensures the safe and reliable operation of the software.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121707822","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00050
Yougang Sun, Si-Lian Xie, Chen Chen, Junqi Xu
Due to the characteristics of no wear, no noise and high comfort, maglev train is one of the hotspots in the field of modern vehicles. The analog signals measured by sensors are digitized by networked levitation control system. When data frames are sent to the network, network-induced delay will occur. Therefore, the time delay of the control system is inevitable. Delays can reduce the stability of the system and may lead to Hopf bifurcation. However, the vibration phenomena of maglev vehicles are closely related to the occurrence of Hopf bifurcation, which makes it possible to cause coupled vibration between vehicle and rail. Firstly, the mathematical model of maglev vehicle suspension system is established, and then it is transformed into T-S fuzzy model with global nonlinearity. Then, aiming at the time-delay phenomenon of airgap feedback, the controller with memoryless state feedback and the controller with memory state feedback are designed respectively. The simulation and experimental results show that the control law with memory state feedback can achieve stable suspension better and restrain the influence of time delay on the system.
{"title":"Memory State Feedback Control of Maglev Vehicle Subject to Output Time-Delay Based on T-S Fuzzy Model","authors":"Yougang Sun, Si-Lian Xie, Chen Chen, Junqi Xu","doi":"10.1109/ICACMVE.2019.00050","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00050","url":null,"abstract":"Due to the characteristics of no wear, no noise and high comfort, maglev train is one of the hotspots in the field of modern vehicles. The analog signals measured by sensors are digitized by networked levitation control system. When data frames are sent to the network, network-induced delay will occur. Therefore, the time delay of the control system is inevitable. Delays can reduce the stability of the system and may lead to Hopf bifurcation. However, the vibration phenomena of maglev vehicles are closely related to the occurrence of Hopf bifurcation, which makes it possible to cause coupled vibration between vehicle and rail. Firstly, the mathematical model of maglev vehicle suspension system is established, and then it is transformed into T-S fuzzy model with global nonlinearity. Then, aiming at the time-delay phenomenon of airgap feedback, the controller with memoryless state feedback and the controller with memory state feedback are designed respectively. The simulation and experimental results show that the control law with memory state feedback can achieve stable suspension better and restrain the influence of time delay on the system.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123077291","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00036
Zeng Hanhan, Liu Wanli, Li Guanyuan
Intelligent vehicle tracking can form vehicle formation or have more applications in AGV navigation vehicle. In the case of obstacle detection, when we use line-of-sight positioning and half-line-of-sight positioning, the difference of data obtained by these two methods is different, which can effectively identify obstacles. The predicted distance is divided into X direction and Y direction. The interval probability statistics of the difference between the two directions are carried out. The probability of obstacles is predicted separately by the difference between the two directions, and the D-S evidence reasoning algorithm is applied to the detection of obstacles. Experiments show that the combined positioning can not only control the positioning error within 1m to about 4cm, but also achieve 91.5% accuracy of obstacle recognition.
{"title":"Combined Vehicle Tracking and Obstacle Detection Based on D-S Evidential Reasoning","authors":"Zeng Hanhan, Liu Wanli, Li Guanyuan","doi":"10.1109/ICACMVE.2019.00036","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00036","url":null,"abstract":"Intelligent vehicle tracking can form vehicle formation or have more applications in AGV navigation vehicle. In the case of obstacle detection, when we use line-of-sight positioning and half-line-of-sight positioning, the difference of data obtained by these two methods is different, which can effectively identify obstacles. The predicted distance is divided into X direction and Y direction. The interval probability statistics of the difference between the two directions are carried out. The probability of obstacles is predicted separately by the difference between the two directions, and the D-S evidence reasoning algorithm is applied to the detection of obstacles. Experiments show that the combined positioning can not only control the positioning error within 1m to about 4cm, but also achieve 91.5% accuracy of obstacle recognition.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736172","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00060
Wang Song, Chen Fenglei, Chen Xiang, Yan Jiangbo
A Mo-S-C multicomponent film is prepared by ion beam assisted deposition (IBAD) combined with low temperature ion sulfurization. The microstructural analyses and the tribological performance are performed on the scanning electron microscope (SEM), three-dimensional white profile meter, Raman spectrum, Nano-hardness tester and UMT friction tester. The result shows that the composite structure, composed of strengthening phase nanocrystallites MoC1-x and lubricative MoS2, FeS, which uniformly dispersed in the amorphous C matrix, is the crucial factor of the excellent tribological performance.
{"title":"Study on the Fabrication and Properties of Mo-S-C Multicomponent Film","authors":"Wang Song, Chen Fenglei, Chen Xiang, Yan Jiangbo","doi":"10.1109/ICACMVE.2019.00060","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00060","url":null,"abstract":"A Mo-S-C multicomponent film is prepared by ion beam assisted deposition (IBAD) combined with low temperature ion sulfurization. The microstructural analyses and the tribological performance are performed on the scanning electron microscope (SEM), three-dimensional white profile meter, Raman spectrum, Nano-hardness tester and UMT friction tester. The result shows that the composite structure, composed of strengthening phase nanocrystallites MoC1-x and lubricative MoS2, FeS, which uniformly dispersed in the amorphous C matrix, is the crucial factor of the excellent tribological performance.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346038","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00049
Li Jie, G. Dinggang, Xu Minghui, Li Guanyuan
In this paper, the suspension mechanism of maglev vehicle is selected as the research object, and the strength and fatigue life are analyzed after three-dimensional modeling, which provides the theoretical basis for the design, development and optimization of maglev vehicle. Firstly, the three-dimensional model of suspension mechanism of maglev vehicle is imported into Hypermesh to establish the finite element model of the whole suspension mechanism. According to the data provided by SMT, various load conditions are applied to the suspension mechanism. Then, the finite element model is imported into Ansys to obtain the displacement, stress and fatigue life contours under various working conditions. According to the analysis results of static strength and fatigue strength, the structure of the suspension mechanism can be optimized to meet the design requirements of strength and fatigue life finally.
{"title":"Mechanical Properties Analysis of Maglev Vehicle Suspension Mechanism","authors":"Li Jie, G. Dinggang, Xu Minghui, Li Guanyuan","doi":"10.1109/ICACMVE.2019.00049","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00049","url":null,"abstract":"In this paper, the suspension mechanism of maglev vehicle is selected as the research object, and the strength and fatigue life are analyzed after three-dimensional modeling, which provides the theoretical basis for the design, development and optimization of maglev vehicle. Firstly, the three-dimensional model of suspension mechanism of maglev vehicle is imported into Hypermesh to establish the finite element model of the whole suspension mechanism. According to the data provided by SMT, various load conditions are applied to the suspension mechanism. Then, the finite element model is imported into Ansys to obtain the displacement, stress and fatigue life contours under various working conditions. According to the analysis results of static strength and fatigue strength, the structure of the suspension mechanism can be optimized to meet the design requirements of strength and fatigue life finally.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134589456","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00051
Si Gui-mao, Wang Bei, W. Yuzhu, M. Deli, Shao Xiantian
In order to improve the work efficiency and single function of the hedge trimming machine, this subject innovatively designs a vehicle-mounted double-arm hedge machine. It can trim the top and one side of the green belt at the same time. Real-time adjustment of the trimming angle and width can also trim the highway slope. Using SOLIDWORKS to establish the whole machine model and ADAMS to carry out simulation analysis on the model. The height of the cutting tool off the ground, the horizontal displacement and the load of each hydraulic cylinder in the process of movement are calculated. The rationality of the whole machine motion is verified, and the prototype is made based on the model and simulation results. The on-site operation proves that the designed vehicle-mounted double-arm hedge trimmer is feasible and innovative.
{"title":"Modeling and Simulation of Vehicle-Mounted Double-Arm Hedgerow Machine","authors":"Si Gui-mao, Wang Bei, W. Yuzhu, M. Deli, Shao Xiantian","doi":"10.1109/ICACMVE.2019.00051","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00051","url":null,"abstract":"In order to improve the work efficiency and single function of the hedge trimming machine, this subject innovatively designs a vehicle-mounted double-arm hedge machine. It can trim the top and one side of the green belt at the same time. Real-time adjustment of the trimming angle and width can also trim the highway slope. Using SOLIDWORKS to establish the whole machine model and ADAMS to carry out simulation analysis on the model. The height of the cutting tool off the ground, the horizontal displacement and the load of each hydraulic cylinder in the process of movement are calculated. The rationality of the whole machine motion is verified, and the prototype is made based on the model and simulation results. The on-site operation proves that the designed vehicle-mounted double-arm hedge trimmer is feasible and innovative.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132910043","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00034
Yezi Hu, Jian Ou, Lin Hu
The traffic situation at the urban intersection is complicated, the numerous internal conflict, kinds of and frequent accidents. With the objective to improve road safety, the automotive industry is moving toward more intelligent vehicles. One of the major challenges is accurately perceive the road traffic environment, detect potential driving conflicts before vehicle conflicts occur and propose alternative driving strategies to resolve conflicts. This paper summarizes the existing research on traffic conflict based on Intelligent Vehicle perception technology. Intelligent vehicles perceive the surrounding environment through environment perception technology, mainly rely on vehicle-borne sensing systems, such as vision system, radar system, etc. to obtain the surrounding road environment information, and detect obstacles to avoid collision and other measures to avoid conflict or reduce accidents. And through prediction algorithm, traffic risk assessment is carried out. At the same time, the existing technical problems are analyzed. Finally, the future development trend of this field is proposed.
{"title":"A Review of Research on Traffic Conflicts Based on Intelligent Vehicles Perception Technology","authors":"Yezi Hu, Jian Ou, Lin Hu","doi":"10.1109/ICACMVE.2019.00034","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00034","url":null,"abstract":"The traffic situation at the urban intersection is complicated, the numerous internal conflict, kinds of and frequent accidents. With the objective to improve road safety, the automotive industry is moving toward more intelligent vehicles. One of the major challenges is accurately perceive the road traffic environment, detect potential driving conflicts before vehicle conflicts occur and propose alternative driving strategies to resolve conflicts. This paper summarizes the existing research on traffic conflict based on Intelligent Vehicle perception technology. Intelligent vehicles perceive the surrounding environment through environment perception technology, mainly rely on vehicle-borne sensing systems, such as vision system, radar system, etc. to obtain the surrounding road environment information, and detect obstacles to avoid collision and other measures to avoid conflict or reduce accidents. And through prediction algorithm, traffic risk assessment is carried out. At the same time, the existing technical problems are analyzed. Finally, the future development trend of this field is proposed.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130975732","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00058
Bian Yongming, Y. Jiange, Yang Jixiang, Xu Boming
The gear pump can work under a four-quadrant operation and is widely used in hydraulic systems, but the existing research on its reversible performance is lacking. In this paper, the gear pump/motor efficiency test bench is designed for the bidirectional reversible working mode, which just measures and collects the key parameters signals for the import and export of the tested object in real time, while excluding the influence of plug valves power loss, valve blocks power loss, pipeline power loss, and detecting elements power loss, and so on . Meanwhile, The electric drive control, hydraulic test platform and data acquisition are designed and studied, especially for the gear motor CMW-F210-CFZS used in the closed hydraulic circuit. The AMESim simulation and test results show that the test bench has simple structure and is effective, and it can test the CMW-F210-CFZS efficiency working under the pump/motor condition at the same time. The test bench provides a platform for further research on the reversible working characteristics of the gear pump and for the study of the control performance of the variable speed pump-controlled motor systems.
{"title":"Study of Gear Pump/Motor Efficiency for Variable-Speed Pump-Controlled-Motor System","authors":"Bian Yongming, Y. Jiange, Yang Jixiang, Xu Boming","doi":"10.1109/ICACMVE.2019.00058","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00058","url":null,"abstract":"The gear pump can work under a four-quadrant operation and is widely used in hydraulic systems, but the existing research on its reversible performance is lacking. In this paper, the gear pump/motor efficiency test bench is designed for the bidirectional reversible working mode, which just measures and collects the key parameters signals for the import and export of the tested object in real time, while excluding the influence of plug valves power loss, valve blocks power loss, pipeline power loss, and detecting elements power loss, and so on . Meanwhile, The electric drive control, hydraulic test platform and data acquisition are designed and studied, especially for the gear motor CMW-F210-CFZS used in the closed hydraulic circuit. The AMESim simulation and test results show that the test bench has simple structure and is effective, and it can test the CMW-F210-CFZS efficiency working under the pump/motor condition at the same time. The test bench provides a platform for further research on the reversible working characteristics of the gear pump and for the study of the control performance of the variable speed pump-controlled motor systems.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441835","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00030
Yuantao Sun, Kaige Chen, Qing Zhang, X. Qin, Chao Liu
Due to the large number of components and complex structure of the new rail mounted container gantry crane (RMG) driving system, there always exists correlation between failure modes of components, so this paper proposes a system reliability analysis method based on mixed Copula, and the reliability analysis of lifting driving system of the new RMG is carried out. Firstly, according to the stress-strength interference theory, the functions of failure modes of components in lifting driving system are constructed, and the reliability calculation model of components is established considering the correlation of failure modes. Then, the reliability of components of the new RMG lifting driving system is analyzed and calculated by Monte Carlo sampling method. Finally, the reliability of the lifting driving system is calculated. Compared with the traditional design method, the results show that the reliability analysis method considering the correlation is more practical in engineering, the calculation results are more accurate, and the weak links of the system can be found out, which can provide reference for design decision.
{"title":"Reliability Analysis of New RMG Lifting Driving System Based on Correlation Theory","authors":"Yuantao Sun, Kaige Chen, Qing Zhang, X. Qin, Chao Liu","doi":"10.1109/ICACMVE.2019.00030","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00030","url":null,"abstract":"Due to the large number of components and complex structure of the new rail mounted container gantry crane (RMG) driving system, there always exists correlation between failure modes of components, so this paper proposes a system reliability analysis method based on mixed Copula, and the reliability analysis of lifting driving system of the new RMG is carried out. Firstly, according to the stress-strength interference theory, the functions of failure modes of components in lifting driving system are constructed, and the reliability calculation model of components is established considering the correlation of failure modes. Then, the reliability of components of the new RMG lifting driving system is analyzed and calculated by Monte Carlo sampling method. Finally, the reliability of the lifting driving system is calculated. Compared with the traditional design method, the results show that the reliability analysis method considering the correlation is more practical in engineering, the calculation results are more accurate, and the weak links of the system can be found out, which can provide reference for design decision.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278115","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 : 2019-05-01DOI: 10.1109/ICACMVE.2019.00032
Zhang Yong, Liu Xinhui, Chen Wei, Cao Bingwei, Yang Kuo
In order to fulfill the fixed-height lifting function of the loader working device and reduce the deviation between the memory value of the controller and the actual value, this paper starts with the experimental curve, identifies the root cause of the deviation firstly, then separately analyses the influence of load, speed and target value on the deviation through the experimental data, eliminates the unnecessary factor load on the basis of the control accuracy, and then studies the influence of speed and target value on the deviation, and predicts the deviation by curve fitting and neural network based on the existing data. Finally, the prediction deviation is verified by experiments. The validation results of fixed speed show that the prediction results of neural network deviation meet the accuracy requirement of 94.29% and the prediction results of curve fitting deviation meet the accuracy requirement of 85.71%. These two methods of deviation prediction can basically control the deviation in the range of ±1°. And a further optimization method of threshold control is proposed. The validation results of variable speed show that the method of controlling deviation in advance is still applicable to variable speed. And according to the experimental data of variable speed, an optimization method of reducing speed deviation control is proposed.
{"title":"Study on Deviation Control of Loader Working Device System","authors":"Zhang Yong, Liu Xinhui, Chen Wei, Cao Bingwei, Yang Kuo","doi":"10.1109/ICACMVE.2019.00032","DOIUrl":"https://doi.org/10.1109/ICACMVE.2019.00032","url":null,"abstract":"In order to fulfill the fixed-height lifting function of the loader working device and reduce the deviation between the memory value of the controller and the actual value, this paper starts with the experimental curve, identifies the root cause of the deviation firstly, then separately analyses the influence of load, speed and target value on the deviation through the experimental data, eliminates the unnecessary factor load on the basis of the control accuracy, and then studies the influence of speed and target value on the deviation, and predicts the deviation by curve fitting and neural network based on the existing data. Finally, the prediction deviation is verified by experiments. The validation results of fixed speed show that the prediction results of neural network deviation meet the accuracy requirement of 94.29% and the prediction results of curve fitting deviation meet the accuracy requirement of 85.71%. These two methods of deviation prediction can basically control the deviation in the range of ±1°. And a further optimization method of threshold control is proposed. The validation results of variable speed show that the method of controlling deviation in advance is still applicable to variable speed. And according to the experimental data of variable speed, an optimization method of reducing speed deviation control is proposed.","PeriodicalId":375616,"journal":{"name":"2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364160","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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