The coupler is used to connect the vehicles, and to transfer and ease longitudinal force and impact force generated by the train running or shunting operation; hence it plays a vital role on vehicle-running safety. The parts of coupler are shaped by casting forming, with some forming error. The process of unlock, full open and lock, (three postures operation) are realized through the motion collision of these components. The forming error will influence the accuracy of coupler motion. However, there is no established theory or techniques to support the research towards the reliability of the motion. By making use of RecurDyn, simulation software for the 13 type coupler, authors carried out multi-body kinematics and dynamics modeling and simulation analysis, and predicted the up-lifter rod max not extract angle when the coupler is unlock with forming error. Meanwhile, authors established a basis process which contains construction and analysis of contact impact mechanism model, simulation geometry modeling, multi-body kinematics dynamics model and simulation analysis. All the efforts lead to one conclusion: the max up-lifter rod not extract angle is 25.5°,when the coupler is unlock. The outcome provides a simulation analysis method for predicting the motion veracity of railway freight car coupler with the features of space mechanism.
In this paper, novel fault estimation and fault-tolerant control methods are proposed for dynamics of high-speed train based on descriptor systems with uncertainties in finite frequency domain. Dynamics of high-speed train is established based on multi-particle model considering that basic resistance is seen as the coefficient of state variables, and additive resistance and the operating noise are seen as multi-source disturbance. Concurrent actuator, sensor faults, and wind gust are considered simultaneously; wind gust is modeled as a disturbance generated by the exogenous system, and an uncertain descriptor system with actuator fault and the exogenous disturbance is established by seeing the sensor fault of high-speed train as the state variables. A robust disturbance-observer-based fault estimation method is proposed to decouple the non-linearity of the descriptor system, so that the combining estimation of the fault and wind gust is implemented. This observer has an unknown input structure, and its gain matrices are formulated as linear matrix inequalities. The observer not only guarantees the augmented state estimation error is asymptotic stable but also the actuator fault estimation and wind gust estimation errors are robust to the multi-source disturbance and the uncertainties. Based on the estimation results, the fault-tolerant controller associated with the state estimation, faults estimation, and wind gust estimation results is proposed to implement a stable close-loop fault-tolerant control for dynamics of high-speed train. Simulation examples are given to illustrate the effectiveness of this method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.