A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural...A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.展开更多
With the rapid development of the world logistics industry, it is inevitable to put forward more efficient and safe requirements for the lifting equipment in the port. The quay crane products run reliably, efficient w...With the rapid development of the world logistics industry, it is inevitable to put forward more efficient and safe requirements for the lifting equipment in the port. The quay crane products run reliably, efficient work is the demand and favor of the market. For bridge cranes, excellent computer room with high standard plays an important role. This paper mainly introduces the power composition of the shore bridge crane and the key points of the arrangement technology of the driving mechanism.展开更多
With the development of science and technology, the mechanical level is gradually improving, and the types of cranes are also increasing. At present, the electric double-beam bridge crane is most commonly used in our ...With the development of science and technology, the mechanical level is gradually improving, and the types of cranes are also increasing. At present, the electric double-beam bridge crane is most commonly used in our factory, and many safety problems are often encountered in the process of using large machinery like cranes. Under the influence of safety management concept, the use technology of electric double-beam bridge crane needs to be more standardized, and the relevant inspection points need to be sorted out. This paper mainly focuses on the problems in the use of cranes, as well as the troubleshooting measures and maintenance.展开更多
Static load tests are an important means of supervising and detecting a crane＇s lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solv...Static load tests are an important means of supervising and detecting a crane＇s lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solve the loading problems of large-tonnage cranes during testing, an equivalency test is proposed based on the similarity theory and BP neural networks. The maximum stress and displacement of a large bridge crane is tested in small loads, combined with the training neural network of a similar structure crane through stress and displacement data which is collected by a physics simulation progressively loaded to a static load test load within the material scope of work. The maximum stress and displacement of a crane under a static load test load can be predicted through the relationship of stress, displacement, and load. By measuring the stress and displacement of small tonnage weights, the stress and displacement of large loads can be predicted, such as the maximum load capacity, which is 1.25 times the rated capacity. Experimental study shows that the load reduction test method can reflect the lift capacity of large bridge cranes. The load shedding predictive analysis for Sanxia 1200 t bridge crane test data indicates that when the load is 1.25 times the rated lifting capacity, the predicted displacement and actual displacement error is zero. The method solves the problem that lifting capacities are difficult to obtain and testing accidents are easily possible when 1.25 times related weight loads are tested for large tonnage cranes.展开更多
The safety brake system of metallurgy bridge crane is generally composed of two separated block brake, brake disc, and torsion shaft. The analysis of natural frequency and main vibration mode on this two-degree torsio...The safety brake system of metallurgy bridge crane is generally composed of two separated block brake, brake disc, and torsion shaft. The analysis of natural frequency and main vibration mode on this two-degree torsion vibration system is the basement to study the vibration model and vibration performance. In this work, we investigated natural frequency of the braking system of metallurgical crane with analytic method. This provides a systematic guidance towards a successful brake system design展开更多
The electric furnace in the electric furnace steelmaking plant crosses a 75t / 20t metallurgical casting bridge crane, and the reversing and variable-speed AC contactor often breaks down in the process of use.By analy...The electric furnace in the electric furnace steelmaking plant crosses a 75t / 20t metallurgical casting bridge crane, and the reversing and variable-speed AC contactor often breaks down in the process of use.By analyzing the cause of the fault and aiming at the root cause of the fault, the contactless contactor technology is used to transform the original AC contactor.The transformation results have reference significance for the transformation of electrical control system under high dust environment.展开更多
基金Project(51075289) supported by the National Natural Science Foundation of ChinaProject(20122014) supported by the Doctor Foundation of Taiyuan University of Science and Technology,China
文摘A new intelligent anti-swing control scheme,which combined fuzzy neural network(FNN) and sliding mode control(SMC) with particle swarm optimization(PSO),was presented for bridge crane.The outputs of three fuzzy neural networks were used to approach the uncertainties of the positioning subsystem,lifting-rope subsystem and anti-swing subsystem.Then,the parameters of the controller were optimized with PSO to enable the system to have good dynamic performances.During the process of high-speed load hoisting and dropping,this method can not only realize the accurate position of the trolley and eliminate the sway of the load in spite of existing uncertainties,and the maximum swing angle is only ±0.1 rad,but also completely eliminate the chattering of conventional sliding mode control and improve the robustness of system.The simulation results show the correctness and validity of this method.
文摘With the rapid development of the world logistics industry, it is inevitable to put forward more efficient and safe requirements for the lifting equipment in the port. The quay crane products run reliably, efficient work is the demand and favor of the market. For bridge cranes, excellent computer room with high standard plays an important role. This paper mainly introduces the power composition of the shore bridge crane and the key points of the arrangement technology of the driving mechanism.
文摘With the development of science and technology, the mechanical level is gradually improving, and the types of cranes are also increasing. At present, the electric double-beam bridge crane is most commonly used in our factory, and many safety problems are often encountered in the process of using large machinery like cranes. Under the influence of safety management concept, the use technology of electric double-beam bridge crane needs to be more standardized, and the relevant inspection points need to be sorted out. This paper mainly focuses on the problems in the use of cranes, as well as the troubleshooting measures and maintenance.
基金Supported by National "Twelfth Five-Year" Plan for Science&Technology Support of China(Grant No.2011BAK06B05)National High-tech Research and Development Program of China(863 Program,Grant No.2013AA040203)Shanxi Scholarship Council of China(Grant No.2015-088)
文摘Static load tests are an important means of supervising and detecting a crane＇s lift capacity. Due to space restrictions, however, there are difficulties and potential danger when testing large bridge cranes. To solve the loading problems of large-tonnage cranes during testing, an equivalency test is proposed based on the similarity theory and BP neural networks. The maximum stress and displacement of a large bridge crane is tested in small loads, combined with the training neural network of a similar structure crane through stress and displacement data which is collected by a physics simulation progressively loaded to a static load test load within the material scope of work. The maximum stress and displacement of a crane under a static load test load can be predicted through the relationship of stress, displacement, and load. By measuring the stress and displacement of small tonnage weights, the stress and displacement of large loads can be predicted, such as the maximum load capacity, which is 1.25 times the rated capacity. Experimental study shows that the load reduction test method can reflect the lift capacity of large bridge cranes. The load shedding predictive analysis for Sanxia 1200 t bridge crane test data indicates that when the load is 1.25 times the rated lifting capacity, the predicted displacement and actual displacement error is zero. The method solves the problem that lifting capacities are difficult to obtain and testing accidents are easily possible when 1.25 times related weight loads are tested for large tonnage cranes.
文摘The safety brake system of metallurgy bridge crane is generally composed of two separated block brake, brake disc, and torsion shaft. The analysis of natural frequency and main vibration mode on this two-degree torsion vibration system is the basement to study the vibration model and vibration performance. In this work, we investigated natural frequency of the braking system of metallurgical crane with analytic method. This provides a systematic guidance towards a successful brake system design
文摘The electric furnace in the electric furnace steelmaking plant crosses a 75t / 20t metallurgical casting bridge crane, and the reversing and variable-speed AC contactor often breaks down in the process of use.By analyzing the cause of the fault and aiming at the root cause of the fault, the contactless contactor technology is used to transform the original AC contactor.The transformation results have reference significance for the transformation of electrical control system under high dust environment.
