In photovoltaic power generation systems, partial shading may cause the PV array to mismatch, thus leading to multi-peak output characteristics, which makes the conventional Maximum Power Point Tracking (MPPT) algorithm easily fall into local extremes and cause power loss. The study aimed to accurately and quickly track the maximum power point of PV arrays in partial shading through swarm intelligence algorithms. Based on the above, an MPPT control algorithm based on Chaos Adaptive Hunger Games Search with Dynamic Lévy Mutation Strategy (CAHGSL) is proposed in this paper. By introducing an improved logistics chaos map initialization population, a nonlinear adaptive convergence factor and a dynamic Lévy mutation strategy enhance their ability to jump out of local extremes during multi-peak MPPT and improve their tracking speed and efficiency. Under the three working conditions, the tracking efficiency of the MPPT algorithm proposed in this paper has been achieved by more than 99.5% in an average time of 0.152s, which is higher tracking efficiency compared to the PO, PSO, and HGS algorithms. The results show that the MPPT algorithm proposed in this paper can balance the tracking speed and efficiency with less power oscillation during the tracking process, and can ensure stable output after convergence. The method proposed in this paper is helpful to improve the output power of PV arrays under partial shading.
{"title":"An Improved Hunger Games Search Algorithm-based Multi-peak MPPT Control for PV System under Partial Shading","authors":"Hao Ma, Lingzhi Yi, Yahui Wang, Jiangyong Liu, Hao Shi, Siyue Cheng","doi":"10.2174/2212797616666230719151124","DOIUrl":"https://doi.org/10.2174/2212797616666230719151124","url":null,"abstract":"\u0000\u0000In photovoltaic power generation systems, partial shading may cause the PV array to mismatch, thus leading to multi-peak output characteristics, which makes the conventional Maximum Power Point Tracking (MPPT) algorithm easily fall into local extremes and cause power loss.\u0000\u0000\u0000\u0000The study aimed to accurately and quickly track the maximum power point of PV arrays in partial shading through swarm intelligence algorithms.\u0000\u0000\u0000\u0000Based on the above, an MPPT control algorithm based on Chaos Adaptive Hunger Games Search with Dynamic Lévy Mutation Strategy (CAHGSL) is proposed in this paper. By introducing an improved logistics chaos map initialization population, a nonlinear adaptive convergence factor and a dynamic Lévy mutation strategy enhance their ability to jump out of local extremes during multi-peak MPPT and improve their tracking speed and efficiency.\u0000\u0000\u0000\u0000Under the three working conditions, the tracking efficiency of the MPPT algorithm proposed in this paper has been achieved by more than 99.5% in an average time of 0.152s, which is higher tracking efficiency compared to the PO, PSO, and HGS algorithms.\u0000\u0000\u0000\u0000The results show that the MPPT algorithm proposed in this paper can balance the tracking speed and efficiency with less power oscillation during the tracking process, and can ensure stable output after convergence. The method proposed in this paper is helpful to improve the output power of PV arrays under partial shading.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41391912","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 : 2023-07-05DOI: 10.2174/2212797616666230705165134
Amine Ben Alaya, F. Kourda, C. Mrad
In order to harvest triboelectric energy for self-powered devices, triboelectric nanogenerator technology (TENG) is used. It converts mechanical energy into electrical energy using materials' contact motion. The purpose of this study is to produce electrical energy for different material pairs and under various contact frequencies using triboelectric separation mode. To produce electricity through triboelectric separation mode, a vibratory exciter was used to provide the contact frequency between the pairs of materials which were connected to an oscilloscope by a capacitive electric circuit containing a diode bridge. The studied materials are: Mica, Polyamide (Nylon), Polytetrafluoroethylene (PTFE), Polyvinylidene fluoride (PVDF), and Polyethylene terephthalate (PET). Mica and Nylon are positive charge materials, while PTFE, PVDF, and PET are negative charge materials. The material pairs are then: Nylon-PVC, Mica-PVC, Nylon-PET, Mica-PET, Nylon-PTFE, and Mica-PTFE. The increase of the contact frequency improves the recovered electrical energy for all the material pairs. The produced electrical energy can reach 5μJ which allows supply for low consumption devices. The research results lead to identify favorable configurations of material pairs and contact frequencies, allowing to recover enough electrical energy supply to low-power devices.
{"title":"Experimental study of triboelectric energy harvesting for different pairs of materials and under various contact frequencies","authors":"Amine Ben Alaya, F. Kourda, C. Mrad","doi":"10.2174/2212797616666230705165134","DOIUrl":"https://doi.org/10.2174/2212797616666230705165134","url":null,"abstract":"\u0000\u0000In order to harvest triboelectric energy for self-powered devices, triboelectric nanogenerator technology (TENG) is used. It converts mechanical energy into electrical energy using materials' contact motion.\u0000\u0000\u0000\u0000The purpose of this study is to produce electrical energy for different material pairs and under various contact frequencies using triboelectric separation mode.\u0000\u0000\u0000\u0000To produce electricity through triboelectric separation mode, a vibratory exciter was used to provide the contact frequency between the pairs of materials which were connected to an oscilloscope by a capacitive electric circuit containing a diode bridge. The studied materials are: Mica, Polyamide (Nylon), Polytetrafluoroethylene (PTFE), Polyvinylidene fluoride (PVDF), and Polyethylene terephthalate (PET). Mica and Nylon are positive charge materials, while PTFE, PVDF, and PET are negative charge materials. The material pairs are then: Nylon-PVC, Mica-PVC, Nylon-PET, Mica-PET, Nylon-PTFE, and Mica-PTFE.\u0000\u0000\u0000\u0000The increase of the contact frequency improves the recovered electrical energy for all the material pairs. The produced electrical energy can reach 5μJ which allows supply for low consumption devices.\u0000\u0000\u0000\u0000The research results lead to identify favorable configurations of material pairs and contact frequencies, allowing to recover enough electrical energy supply to low-power devices.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48340845","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 : 2023-06-23DOI: 10.2174/2212797616666230623111337
Peijian Zhou, Yang Wang, Naijiang Xu, Wenqiang Zhou, Jun Yu Li
The vortex pump is a type of sewage pump renowned for its non-clogging performance. As the vortex pump has a special structure type, there are many vortex structures in the volute and impeller flow channel, which reduce the efficiency of the vortex pump. Reducing the energy loss and improving the efficiency of the vortex pump has been one of the main research objectives of designers. In this paper, the research progress of vortex pumps is summarized from the two aspects of transporting solid medium and low efficiency, which can provide a reference for future research. The latest patents and papers on vortex pumps were collected. The solid-liquid flow characteristics from the experimental and numerical perspectives, the influence of geometric parameters on external characteristics, and optimization design methods of the vortex pump were studied. The particles, fibers, and cloth in the vortex pump will become trapped and blocked in the cavity. And the geometric parameters have an obvious effect on the pump. By using the intelligent optimization algorithm to optimize the impeller parameters, the pump efficiency can be increased by 10.25% under large flow conditions and the effective blade shear stress. The concentration and diameter of particles could change the performance of the pump. The retention and plugging of the solid medium in the vortex pump are related to flow structure and backflow. Appropriate geometric parameters should be selected when designing a vortex pump. Too large or too small a structure design will lead to poor performance of the vortex pump. This can be combined with intelligent optimization algorithms for pump design, which is a very effective method.
{"title":"Recent Advances in Optimization Design and Performance Analysis of Vortex Pumps","authors":"Peijian Zhou, Yang Wang, Naijiang Xu, Wenqiang Zhou, Jun Yu Li","doi":"10.2174/2212797616666230623111337","DOIUrl":"https://doi.org/10.2174/2212797616666230623111337","url":null,"abstract":"\u0000\u0000The vortex pump is a type of sewage pump renowned for its non-clogging performance. As the vortex pump has a special structure type, there are many vortex structures in the volute and impeller flow channel, which reduce the efficiency of the vortex pump. Reducing the energy loss and improving the efficiency of the vortex pump has been one of the main research objectives of designers.\u0000In this paper, the research progress of vortex pumps is summarized from the two aspects of transporting solid medium and low efficiency, which can provide a reference for future research.\u0000\u0000\u0000\u0000The latest patents and papers on vortex pumps were collected. The solid-liquid flow characteristics from the experimental and numerical perspectives, the influence of geometric parameters on external characteristics, and optimization design methods of the vortex pump were studied.\u0000\u0000\u0000\u0000The particles, fibers, and cloth in the vortex pump will become trapped and blocked in the cavity. And the geometric parameters have an obvious effect on the pump. By using the intelligent optimization algorithm to optimize the impeller parameters, the pump efficiency can be increased by 10.25% under large flow conditions and the effective blade shear stress.\u0000\u0000\u0000\u0000The concentration and diameter of particles could change the performance of the pump. The retention and plugging of the solid medium in the vortex pump are related to flow structure and backflow. Appropriate geometric parameters should be selected when designing a vortex pump. Too large or too small a structure design will lead to poor performance of the vortex pump. This can be combined with intelligent optimization algorithms for pump design, which is a very effective method.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45580875","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}
For the optimization of energy-saving driving of freight trains in complex operating environments, the use of reasonable train maneuvering methods can largely reduce the energy consumption of train traction. Recent patents on energy-efficient maneuvering strategies for complex scenarios of freight trains have been researched. Using the receding horizon algorithm and the improved NSGA-II algorithm to solve the target speed curve of freight trains to cope with the complex and changing operating environment, and to explore the recent patents of energy-saving maneuvering strategies for freight trains and methods. The recent patents of energy-efficient maneuvering strategies for freight trains in complex scenarios are investigated in this research. A multi-objective optimization model for freight train maneuvering with electrical phasing was developed with the objectives of reducing the traction energy consumption and running time of the train. A method for determining the optimal operating conditions of freight trains under complex line conditions is proposed. The offline optimization of the target speed curve under the electrical phasing constraints of freight trains and the online adjustment under the temporary speed limit (TSR) are achieved by using the RH-INSGA-II (receding horizon-improved NSGA- II) algorithm. Combined with an actual freight railroad line data as an example, simulation experiments were conducted and verified with HXD1 electric locomotive hauling 50 C80 wagons. The speed curve considering the split-phase constraint can effectively reduce the traction energy consumption. The electrical split-phase constraint affects the whole speed optimization process, not only the speed curve at the split-phase zone. Although the traction energy consumption is increased with the addition of the TSR on the line, the RH-INSGA-II algorithm dynamically changes the sequence of optimal train maneuvering conditions according to the planned train running time in order to avoid further amplification of the late train time.
{"title":"Energy Saving Optimal Operation Strategy of Freight Trains Under Complex Scenarios","authors":"Cheng Xie, Lingzhi Yi, Yahui Wang, Jiangyong Liu, Chuyang Yi, Wenbo Jiang","doi":"10.2174/2212797616666230622143121","DOIUrl":"https://doi.org/10.2174/2212797616666230622143121","url":null,"abstract":"\u0000\u0000For the optimization of energy-saving driving of freight trains in complex operating environments, the use of reasonable train maneuvering methods can largely reduce the energy consumption of train traction. Recent patents on energy-efficient maneuvering strategies for complex scenarios of freight trains have been researched.\u0000\u0000\u0000\u0000Using the receding horizon algorithm and the improved NSGA-II algorithm to solve the target speed curve of freight trains to cope with the complex and changing operating environment, and to explore the recent patents of energy-saving maneuvering strategies for freight trains and methods.\u0000\u0000\u0000\u0000The recent patents of energy-efficient maneuvering strategies for freight trains in complex scenarios are investigated in this research. A multi-objective optimization model for freight train maneuvering with electrical phasing was developed with the objectives of reducing the traction energy consumption and running time of the train. A method for determining the optimal operating conditions of freight trains under complex line conditions is proposed. The offline optimization of the target speed curve under the electrical phasing constraints of freight trains and the online adjustment under the temporary speed limit (TSR) are achieved by using the RH-INSGA-II (receding horizon-improved NSGA- II) algorithm.\u0000\u0000\u0000\u0000Combined with an actual freight railroad line data as an example, simulation experiments were conducted and verified with HXD1 electric locomotive hauling 50 C80 wagons.\u0000\u0000\u0000\u0000The speed curve considering the split-phase constraint can effectively reduce the traction energy consumption. The electrical split-phase constraint affects the whole speed optimization process, not only the speed curve at the split-phase zone. Although the traction energy consumption is increased with the addition of the TSR on the line, the RH-INSGA-II algorithm dynamically changes the sequence of optimal train maneuvering conditions according to the planned train running time in order to avoid further amplification of the late train time.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46572319","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}
The stacker-reclaimer is a device for transporting bulk materials in ironmaking raw material yards. An excellent scheduling plan can provide a good raw material supply basis for steel enterprises. It is of great significance to improve the efficiency of steel production, reduce unnecessary operating waste and management costs, and realize scientific management of steel production. This patent aims to optimize the total material transportation time and equipment utilization balance within a single operation plan of the stacker-reclaimer involved in the raw material yard. A multi-objective optimization model for the stacker reclaimer is established, and the Reverse learning and Population Competitive-NSGA II (RPC-NSGA II) algorithm is introduced for solving. This algorithm uses reverse learning and population competition mechanism to improve the convergence and diversity of the algorithm. The proposed method was experimentally verified in a raw material yard with a 360m2 sintering machine and a bulk material port. The method converges well and obtains a Pareto front with a uniform distribution. Compared with the actual scheduling plan, the scheduling plan under the optimal compromise solution reduces the maximum completion time by 11.23 minutes and increases the equipment utilization balance rate by 11.70%. The proposed method can consider the material transportation time and equipment utilization balance, which is of great significance for the optimized use of the stacker reclaimer in steel enterprises and the quality assurance of raw material supply.
{"title":"Multi-objective optimal scheduling of stacker–reclaimers using the RPC-NSGA II algorithm","authors":"Qiankun Liu, Lingzhi Yi, Yahui Wang, Huiting Zhang, Xinlong Peng","doi":"10.2174/2212797616666230613105723","DOIUrl":"https://doi.org/10.2174/2212797616666230613105723","url":null,"abstract":"\u0000\u0000The stacker-reclaimer is a device for transporting bulk materials in ironmaking raw material yards. An excellent scheduling plan can provide a good raw material supply basis for steel enterprises. It is of great significance to improve the efficiency of steel production, reduce unnecessary operating waste and management costs, and realize scientific management of steel production.\u0000\u0000\u0000\u0000This patent aims to optimize the total material transportation time and equipment utilization balance within a single operation plan of the stacker-reclaimer involved in the raw material yard.\u0000\u0000\u0000\u0000A multi-objective optimization model for the stacker reclaimer is established, and the Reverse learning and Population Competitive-NSGA II (RPC-NSGA II) algorithm is introduced for solving. This algorithm uses reverse learning and population competition mechanism to improve the convergence and diversity of the algorithm.\u0000\u0000\u0000\u0000The proposed method was experimentally verified in a raw material yard with a 360m2 sintering machine and a bulk material port. The method converges well and obtains a Pareto front with a uniform distribution. Compared with the actual scheduling plan, the scheduling plan under the optimal compromise solution reduces the maximum completion time by 11.23 minutes and increases the equipment utilization balance rate by 11.70%.\u0000\u0000\u0000\u0000The proposed method can consider the material transportation time and equipment utilization balance, which is of great significance for the optimized use of the stacker reclaimer in steel enterprises and the quality assurance of raw material supply.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43990285","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 : 2023-06-12DOI: 10.2174/2212797616666230612162748
Haigang Zhang, Haoqiang Zhou, Decheng Zhao, Song Zeng, Zizhuo Wang, Jianpeng Zhu, Bulai Wang, Heng Wan
The traction power supply system (TPSS) of railways mainly focuses on power quality analysis. In the study of harmonic and negative order currents, many literature analysis are not specific enough， there is a lack of completeness in the simulation system. Analyze the influence of harmonic and negative sequences of TPSS on the system circuit, and realize intelligent recognition for different working conditions. The converter is designed based on the transient direct current control technology and the harmonic model of grid-side regenerative braking is established. According to the parameters of CRH2 (CRH380AL) locomotive, the EMU model is built and run in the TPSS for joint simulation. The availability of the model is verified by combining the harmonic content and voltage level. Then, the distribution of negative sequence current under the no-load, traction and regenerative braking conditions of the system is analyzed in detail, and the negative sequence characteristic waveform under various conditions is obtained, so as to obtain the variation law of negative sequence current under different conditions. Under the regenerative braking condition, the current harmonic distortion is much higher than that under the traction condition. From the analysis of voltage and current phase, the power factor of regenerative braking is also small. In the negative sequence analysis, the tip negative sequence current impact phenomenon occurs mostly during the traction operation of the train, while the current impact effect is weakened during regenerative braking, but the amplitude of the negative sequence fluctuation shows an increasing trend. The energy generated by regenerative braking will be utilized by the locomotive under traction, and these bad electric energies will have extremely adverse effects on the process of high-speed train receiving and changing current. These negative sequence analysis results can be used to identify and classify different working conditions and divide and conquer energy compensation actions to achieve energy saving and consumption reduction.
{"title":"Harmonic Characteristics and Negative Sequence Analysis of Regenerative Braking for High-speed Railway","authors":"Haigang Zhang, Haoqiang Zhou, Decheng Zhao, Song Zeng, Zizhuo Wang, Jianpeng Zhu, Bulai Wang, Heng Wan","doi":"10.2174/2212797616666230612162748","DOIUrl":"https://doi.org/10.2174/2212797616666230612162748","url":null,"abstract":"\u0000\u0000The traction power supply system (TPSS) of railways mainly focuses on power quality analysis. In the study of harmonic and negative order currents, many literature analysis are not specific enough， there is a lack of completeness in the simulation system.\u0000\u0000\u0000\u0000Analyze the influence of harmonic and negative sequences of TPSS on the system circuit, and realize intelligent recognition for different working conditions.\u0000\u0000\u0000\u0000The converter is designed based on the transient direct current control technology and the harmonic model of grid-side regenerative braking is established. According to the parameters of CRH2 (CRH380AL) locomotive, the EMU model is built and run in the TPSS for joint simulation. The availability of the model is verified by combining the harmonic content and voltage level. Then, the distribution of negative sequence current under the no-load, traction and regenerative braking conditions of the system is analyzed in detail, and the negative sequence characteristic waveform under various conditions is obtained, so as to obtain the variation law of negative sequence current under different conditions.\u0000\u0000\u0000\u0000Under the regenerative braking condition, the current harmonic distortion is much higher than that under the traction condition. From the analysis of voltage and current phase, the power factor of regenerative braking is also small. In the negative sequence analysis, the tip negative sequence current impact phenomenon occurs mostly during the traction operation of the train, while the current impact effect is weakened during regenerative braking, but the amplitude of the negative sequence fluctuation shows an increasing trend.\u0000\u0000\u0000\u0000The energy generated by regenerative braking will be utilized by the locomotive under traction, and these bad electric energies will have extremely adverse effects on the process of high-speed train receiving and changing current. These negative sequence analysis results can be used to identify and classify different working conditions and divide and conquer energy compensation actions to achieve energy saving and consumption reduction.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48971831","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 : 2023-06-12DOI: 10.2174/2212797616666230612152528
Shenglong Xie, Wenyuan Liu, Huiru Duan, Dijian Chen, Yanjian Wan
The current digital twin systems usually have the drawback of high cost and complex technology, and it is necessary to develop a simple solution to reduce the cost and cycle for the development of digital twin systems, especially for small projects or systems with simple structures. A low-cost patent technology of digital twin system was proposed by taking the motion control and state monitoring system (MCSMS) of pneumatic muscle as an example. In the roaming experiment and the experiment of motion control and state monitoring of pneumatic muscle, the MCSMS can work smoothly without obvious delay and has good real-time performance, which can realize the 3D visual monitoring of the pneumatic muscle very well. The experimental results indicate that the proposed method possesses the ability of good feasibility and effectiveness.
{"title":"A digital twin-based framework of motion control and state monitoring for pneumatic muscle","authors":"Shenglong Xie, Wenyuan Liu, Huiru Duan, Dijian Chen, Yanjian Wan","doi":"10.2174/2212797616666230612152528","DOIUrl":"https://doi.org/10.2174/2212797616666230612152528","url":null,"abstract":"\u0000\u0000The current digital twin systems usually have the drawback of high cost and complex technology, and it is necessary to develop a simple solution to reduce the cost and cycle for the development of digital twin systems, especially for small projects or systems with simple structures.\u0000\u0000\u0000\u0000A low-cost patent technology of digital twin system was proposed by taking the motion control and state monitoring system (MCSMS) of pneumatic muscle as an example.\u0000\u0000\u0000\u0000In the roaming experiment and the experiment of motion control and state monitoring of pneumatic muscle, the MCSMS can work smoothly without obvious delay and has good real-time performance, which can realize the 3D visual monitoring of the pneumatic muscle very well.\u0000\u0000\u0000\u0000The experimental results indicate that the proposed method possesses the ability of good feasibility and effectiveness.\u0000","PeriodicalId":39169,"journal":{"name":"Recent Patents on Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49443084","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 : 2023-05-05DOI: 10.2174/2212797616666230505151008
Yu Guo, Yi Lingzhi, Wang Yahui, Dong Tengfei, Yu Huang, Shen Haixiang
Catenary is a crucial component of an electrified railroad's traction power supply system. There is a considerable incidence of abnormal status and failures due to prolonged outside exposure. Driving safety will be directly impacted if an abnormal status or failure occurs. Currently, catenary detection vehicles are the most often utilized technique for gathering data and identifying faults based on manual experience. However, this technology cannot meet the demands of prompt detection and correction of faults in railways engineering due to its extremely low work efficiency. Based on the above, an abnormal status detection method of catenary based on the improved gray wolf (IGWO) algorithm optimized the least squares support vector machine (LSSVM) with the t-distributed stochastic neighbor embedding (TSNE) is proposed in this paper. In order to improve the accuracy of catenary abnormal status detection and shorten the detection time. Firstly, the TSNE dimensionality reduction technology is used to reduce the original catenary data to three-dimensional space. Then, in order to address the issue that the parameters of the LSSVM detection model are hard to determine, the improved GWO algorithm is used to optimize the penalty factor and kernel parameter in the LSSVM and establish the TSNE-IGWO-LSSVM catenary abnormal status detection model. Finally, contrasting experimental results of different detection models. The T-distributed Stochastic Domain Embedding (TSNE) is an improved nonlinear dimensionality reduction method based on the Stochastic Neighbor Embedding (SNE). TSNE no longer adopts the distance invariance in linear dimensionality reduction methods such as ISOMAP. TSNE is much better than the linear dimensionality reduction method in the reduction degree of the original dimension. The GWO algorithm, which is frequently used in engineering research, has the advantages of a simple model, great generalization capability, and good optimization performance. The premature convergence is one of the remaining flaws. By applying a good point set to initialize the gray wolf population and the nonlinear control parameters, the gray wolf algorithm is improved in this research. The IGWO algorithm effectively makes up for the problem of balancing the local exploitation and global search capabilities of GWO. Additionally, this IGWO algorithm performs the Cauchy variation operation on the current generation optimal solution to improve population diversity, enlarge the search space, and increase the likelihood of the algorithm escaping the local optimal solution in order to prevent the algorithm from failing the local optimum. The Least Squares Support Vector Machine (LSSVM) is an improved version of the Support Vector Machine (SVM), which replaces the original inequality constraint with a linear least squares criterion for the loss function. The kernel parameters of the RBF function and the penalty factor, these two parameters directly determine the d
接触网是电气化铁路牵引供电系统的重要组成部分。由于长时间暴露在外界，有相当多的异常状态和故障发生。如果出现异常状态或故障，将直接影响行车安全。目前，接触网检测车辆是最常用的基于人工经验的数据采集和故障识别技术。然而，该技术的工作效率极低，无法满足铁路工程中对故障的及时检测和纠正的需求。在此基础上，本文提出了一种基于改进灰狼(IGWO)算法的接触网异常状态检测方法，该算法基于t分布随机邻居嵌入(TSNE)优化最小二乘支持向量机(LSSVM)。为了提高接触网异常状态检测的准确性，缩短检测时间。首先，利用TSNE降维技术将原始接触网数据降维到三维空间;然后，针对LSSVM检测模型参数难以确定的问题，采用改进的GWO算法对LSSVM中的惩罚因子和内核参数进行优化，建立TSNE-IGWO-LSSVM接触网异常状态检测模型。最后，对比了不同检测模型的实验结果。t分布随机域嵌入(TSNE)是在随机邻居嵌入(SNE)的基础上改进的非线性降维方法。TSNE不再采用ISOMAP等线性降维方法中的距离不变性。TSNE在原始维数的降维程度上明显优于线性降维方法。GWO算法具有模型简单、泛化能力强、优化性能好等优点，是工程研究中经常使用的算法。过早趋同是尚存的缺陷之一。本研究采用良好的点集来初始化灰狼种群和非线性控制参数，对灰狼算法进行了改进。IGWO算法有效地解决了GWO算法在局部利用和全局搜索能力之间的平衡问题。此外，IGWO算法对当前代最优解进行柯西变分运算，提高种群多样性，扩大搜索空间，增加算法逃离局部最优解的可能性，防止算法无法达到局部最优解。最小二乘支持向量机(LSSVM)是支持向量机(SVM)的改进版本，它用损失函数的线性最小二乘准则代替原来的不等式约束。RBF函数的核参数和惩罚因子，这两个参数直接决定了LSSVM的检测效果。本文利用IGWO对LSSVM参数进行调整和确定，以提高LSSVM模型的检测能力。在本文中，为了尽量减少实验的偏差，训练数据和测试数据按4:1的比例进行分配，训练数据设为400组，测试数据设为100组。五个模型训练完成后，使用测试数据对模型的检测能力进行验证和比较。对5种检测模型分别进行10次测试后，将tsn -IGWO-LSSVM模型与IGWO-LSSVM模型、tsn - fa - lssvm模型、GWO-LSSVM模型和GWO-ELM模型进行比较，结果表明tsn -IGWO-LSSVM模型平均检测准确率最高，达到97.1%，运行时间最短，为26.9s。对于均方根误差(RMSE)和均方根误差(RMSE)， TSNE-IGWO-LSSVM模型分别为0.17320和2.51%，是5个模型中最好的，这表明它不仅具有更高的检测精度，而且检测精度的收敛性也优于其他模型。由于接触网长达数千英里，数据的复杂性，缩短运行时间对于提高效率和减轻处理器的负担至关重要。实验表明，TSNE-IGWO-LSSVM检测模型能够更加准确、快速地检测接触网的异常状态，为接触网异常状态检测提供了一种新的方法，在铁路全电气化时代具有一定的应用价值和工程意义。
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