The Experts below are selected from a list of 13746 Experts worldwide ranked by ideXlab platform
Anil Kumar - One of the best experts on this subject based on the ideXlab platform.
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semi active control to reduce lateral vibration of passenger Rail Vehicle using disturbance rejection and continuous state damper controllers
Journal of Vibration Engineering, 2019Co-Authors: Sunil Kumar Sharma, Umesh Saini, Anil KumarAbstract:In this paper, Bouc–Wen type magnetorheological fluid damper has been used to monitor the ride quality of a prevailing Rail Vehicle in lateral vibrations. Modelling of the Rail Vehicle is done in such a manner that it has an entire 9 degrees of freedom by significant considerations of lateral, roll and yaw motions of the car body, rear, and the front chassis. 200 km/h is considered as train speed for tracks with two varying disturbances. A system consisting of multibody in VI-Rail software is provided by a track input and ergo, wheel response it obtained. SIMULINK (software) is responsible for the representation of the motions of the wheel as mathematical models. Two different types of analysis are done firstly with conventional passive lateral damper and secondly with semi-active MR lateral damper in subordinate suspension. To diminish lateral vibrations, the disturbance refusal and non-stop state controller algorithms were executed to manage the damper force. Results acquired are in the form of acceleration and displacement of the center of mass of the body under consideration is done by comparing in terms of reduction indices of their vibrations. A significant improvement in the index is seen in which a semi-active lateral damper is mounted. The results show that the proposed system significantly improves both, the vibration attenuation ability and the ride quality of the Vehicle.
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Semi-active Control to Reduce Lateral Vibration of Passenger Rail Vehicle Using Disturbance Rejection and Continuous State Damper Controllers
Journal of Vibration Engineering & Technologies, 2019Co-Authors: Sunil Kumar Sharma, Umesh Saini, Anil KumarAbstract:Purpose In this paper, Bouc–Wen type magnetorheological fluid damper has been used to monitor the ride quality of a prevailing Rail Vehicle in lateral vibrations. Methods Modelling of the Rail Vehicle is done in such a manner that it has an entire 9 degrees of freedom by significant considerations of lateral, roll and yaw motions of the car body, rear, and the front chassis. 200 km/h is considered as train speed for tracks with two varying disturbances. A system consisting of multibody in VI-Rail software is provided by a track input and ergo, wheel response it obtained. SIMULINK (software) is responsible for the representation of the motions of the wheel as mathematical models. Two different types of analysis are done firstly with conventional passive lateral damper and secondly with semi-active MR lateral damper in subordinate suspension. To diminish lateral vibrations, the disturbance refusal and non-stop state controller algorithms were executed to manage the damper force. Results Results acquired are in the form of acceleration and displacement of the center of mass of the body under consideration is done by comparing in terms of reduction indices of their vibrations. A significant improvement in the index is seen in which a semi-active lateral damper is mounted. Conclusions The results show that the proposed system significantly improves both, the vibration attenuation ability and the ride quality of the Vehicle.
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ride performance of a high speed Rail Vehicle using controlled semi active suspension system
Smart Materials and Structures, 2017Co-Authors: Sunil Kumar Sharma, Anil KumarAbstract:The Rail–wheel interaction in a Rail Vehicle running at high speed results in large amplitude vibration of carbody that deteriorates the ride comfort of travellers. The role of suspension system is crucial to provide an acceptable level of ride performance. In this context, an existing Rail Vehicle is modelled in vertical, pitch and roll motions of carbody and bogies. Additionally, nonlinear stiffness and damping parameters of passive suspension system are defined based on experimental data. In the secondary vertical suspension system, a magneto-rheological (MR) damper is included to improve the ride quality and comfort. The parameters of MR damper depend on the current, amplitude and frequency of excitations. At different running speeds, three semi-active suspension strategies with MR damper are analysed for periodic track irregularity and the resulting performance indices are juxtaposed with the nonlinear passive suspension system. The disturbance rejection and force tracking damper controller algorithms are applied to control the desired force of MR damper. This study reveals that the vertical vibrations of a Vehicle can be reduced significantly by using the proposed semi-active suspension strategies. Moreover, it naturally results in improved ride quality and passenger's comfort in comparison to the existing passive system.
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Challenges in Rail Vehicle-Track Modeling and Simulation
International Journal of Vehicle Structures and Systems, 2015Co-Authors: Sunil Kumar Sharma, Rakesh Chandmal Sharma, Anil Kumar, Srihari PalliAbstract:Rail Vehicle-track modeling and simulations, in past many years is developed a long way from its origins as a research tool. This paper presents an overview of the current features and applications for components of Rail Vehicle-track dynamic modeling and few challenges which these applications find while doing the simulations. This paper discusses appropriate modeling choices for different applications and analyse the best practice for the optimum performance of suspension components, wheel-Rail contact conditions and modeling inputs such as track geometry.
Xinggang Yan - One of the best experts on this subject based on the ideXlab platform.
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sensor fault detection for Rail Vehicle suspension systems with disturbances and stochastic noises
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Zehui Mao, Bin Jiang, Yanhao Zhan, Gang Tao, Xinggang YanAbstract:This paper develops a sensor fault detection scheme for Rail Vehicle passive suspension systems, using a fault detection observer, in the presence of uncertain track regularity and Vehicle noises that are modeled as external disturbances and stochastic process signals. To design the fault detection observer, the suspension system states are augmented with the disturbances treated as new states, leading to an augmented and singular system with stochastic noises. Using system output measurements, the observer is designed to generate the needed residual signal for fault detection. Existence conditions for observer design are analyzed and illustrated. In term of the residual signal, both fault detection threshold and fault detectability condition are obtained, to form a systematic detection algorithm. Simulation results on a realistic Vehicle system model are presented to illustrate the observer behavior and fault detection performance.
Sunil Kumar Sharma - One of the best experts on this subject based on the ideXlab platform.
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semi active control to reduce lateral vibration of passenger Rail Vehicle using disturbance rejection and continuous state damper controllers
Journal of Vibration Engineering, 2019Co-Authors: Sunil Kumar Sharma, Umesh Saini, Anil KumarAbstract:In this paper, Bouc–Wen type magnetorheological fluid damper has been used to monitor the ride quality of a prevailing Rail Vehicle in lateral vibrations. Modelling of the Rail Vehicle is done in such a manner that it has an entire 9 degrees of freedom by significant considerations of lateral, roll and yaw motions of the car body, rear, and the front chassis. 200 km/h is considered as train speed for tracks with two varying disturbances. A system consisting of multibody in VI-Rail software is provided by a track input and ergo, wheel response it obtained. SIMULINK (software) is responsible for the representation of the motions of the wheel as mathematical models. Two different types of analysis are done firstly with conventional passive lateral damper and secondly with semi-active MR lateral damper in subordinate suspension. To diminish lateral vibrations, the disturbance refusal and non-stop state controller algorithms were executed to manage the damper force. Results acquired are in the form of acceleration and displacement of the center of mass of the body under consideration is done by comparing in terms of reduction indices of their vibrations. A significant improvement in the index is seen in which a semi-active lateral damper is mounted. The results show that the proposed system significantly improves both, the vibration attenuation ability and the ride quality of the Vehicle.
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Semi-active Control to Reduce Lateral Vibration of Passenger Rail Vehicle Using Disturbance Rejection and Continuous State Damper Controllers
Journal of Vibration Engineering & Technologies, 2019Co-Authors: Sunil Kumar Sharma, Umesh Saini, Anil KumarAbstract:Purpose In this paper, Bouc–Wen type magnetorheological fluid damper has been used to monitor the ride quality of a prevailing Rail Vehicle in lateral vibrations. Methods Modelling of the Rail Vehicle is done in such a manner that it has an entire 9 degrees of freedom by significant considerations of lateral, roll and yaw motions of the car body, rear, and the front chassis. 200 km/h is considered as train speed for tracks with two varying disturbances. A system consisting of multibody in VI-Rail software is provided by a track input and ergo, wheel response it obtained. SIMULINK (software) is responsible for the representation of the motions of the wheel as mathematical models. Two different types of analysis are done firstly with conventional passive lateral damper and secondly with semi-active MR lateral damper in subordinate suspension. To diminish lateral vibrations, the disturbance refusal and non-stop state controller algorithms were executed to manage the damper force. Results Results acquired are in the form of acceleration and displacement of the center of mass of the body under consideration is done by comparing in terms of reduction indices of their vibrations. A significant improvement in the index is seen in which a semi-active lateral damper is mounted. Conclusions The results show that the proposed system significantly improves both, the vibration attenuation ability and the ride quality of the Vehicle.
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ride performance of a high speed Rail Vehicle using controlled semi active suspension system
Smart Materials and Structures, 2017Co-Authors: Sunil Kumar Sharma, Anil KumarAbstract:The Rail–wheel interaction in a Rail Vehicle running at high speed results in large amplitude vibration of carbody that deteriorates the ride comfort of travellers. The role of suspension system is crucial to provide an acceptable level of ride performance. In this context, an existing Rail Vehicle is modelled in vertical, pitch and roll motions of carbody and bogies. Additionally, nonlinear stiffness and damping parameters of passive suspension system are defined based on experimental data. In the secondary vertical suspension system, a magneto-rheological (MR) damper is included to improve the ride quality and comfort. The parameters of MR damper depend on the current, amplitude and frequency of excitations. At different running speeds, three semi-active suspension strategies with MR damper are analysed for periodic track irregularity and the resulting performance indices are juxtaposed with the nonlinear passive suspension system. The disturbance rejection and force tracking damper controller algorithms are applied to control the desired force of MR damper. This study reveals that the vertical vibrations of a Vehicle can be reduced significantly by using the proposed semi-active suspension strategies. Moreover, it naturally results in improved ride quality and passenger's comfort in comparison to the existing passive system.
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Challenges in Rail Vehicle-Track Modeling and Simulation
International Journal of Vehicle Structures and Systems, 2015Co-Authors: Sunil Kumar Sharma, Rakesh Chandmal Sharma, Anil Kumar, Srihari PalliAbstract:Rail Vehicle-track modeling and simulations, in past many years is developed a long way from its origins as a research tool. This paper presents an overview of the current features and applications for components of Rail Vehicle-track dynamic modeling and few challenges which these applications find while doing the simulations. This paper discusses appropriate modeling choices for different applications and analyse the best practice for the optimum performance of suspension components, wheel-Rail contact conditions and modeling inputs such as track geometry.
Bin Jiang - One of the best experts on this subject based on the ideXlab platform.
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Adaptive Sensor Fault Detection for Rail Vehicle Suspension Systems
IEEE Transactions on Vehicular Technology, 2019Co-Authors: Min Dong, Bin JiangAbstract:This paper develops an adaptive sensor fault detection scheme for Rail Vehicle suspension systems with uncertain parameters and sensor faults. A parameterized model of the input-to-output description of the Rail Vehicle suspension systems is developed, based on which different parameterized output estimators are constructed to detect different unknown sensor fault patterns. As a representative study, three fault detection estimators are presented using estimation errors between the sensor output and the output estimates. Robust adaptive parameter update laws are used to ensure desired system performance of the output estimators, for the construction of the fault detection scheme. The proposed adaptive detection scheme not only can handle large parameter uncertainties in Rail Vehicle suspension system models, but also can check whether sensor fault occurs in Rail Vehicle suspension system models or not, and identify the patterns of the sensor faults. Simulation study verifies the effectiveness of the developed adaptive sensor fault detection scheme.
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sensor fault detection for Rail Vehicle suspension systems with disturbances and stochastic noises
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Zehui Mao, Bin Jiang, Yanhao Zhan, Gang Tao, Xinggang YanAbstract:This paper develops a sensor fault detection scheme for Rail Vehicle passive suspension systems, using a fault detection observer, in the presence of uncertain track regularity and Vehicle noises that are modeled as external disturbances and stochastic process signals. To design the fault detection observer, the suspension system states are augmented with the disturbances treated as new states, leading to an augmented and singular system with stochastic noises. Using system output measurements, the observer is designed to generate the needed residual signal for fault detection. Existence conditions for observer design are analyzed and illustrated. In term of the residual signal, both fault detection threshold and fault detectability condition are obtained, to form a systematic detection algorithm. Simulation results on a realistic Vehicle system model are presented to illustrate the observer behavior and fault detection performance.
Zehui Mao - One of the best experts on this subject based on the ideXlab platform.
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sensor fault detection for Rail Vehicle suspension systems with disturbances and stochastic noises
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Zehui Mao, Bin Jiang, Yanhao Zhan, Gang Tao, Xinggang YanAbstract:This paper develops a sensor fault detection scheme for Rail Vehicle passive suspension systems, using a fault detection observer, in the presence of uncertain track regularity and Vehicle noises that are modeled as external disturbances and stochastic process signals. To design the fault detection observer, the suspension system states are augmented with the disturbances treated as new states, leading to an augmented and singular system with stochastic noises. Using system output measurements, the observer is designed to generate the needed residual signal for fault detection. Existence conditions for observer design are analyzed and illustrated. In term of the residual signal, both fault detection threshold and fault detectability condition are obtained, to form a systematic detection algorithm. Simulation results on a realistic Vehicle system model are presented to illustrate the observer behavior and fault detection performance.
