The Experts below are selected from a list of 55569 Experts worldwide ranked by ideXlab platform
Thomas Abrahamsson - One of the best experts on this subject based on the ideXlab platform.
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Improving Test Rig performance using passive components
Topics in Modal Analysis II Volume 6, 2017Co-Authors: Anders T Johansson, Thomas AbrahamssonAbstract:The Time Waveform Replication (TWR) algorithm is presently used in industry for calculating the input force needed to replicate reference sensor outputs in a dynamic Test Rig. The feasible range of that input force is restricted by power supply and forcing rate limitations. If the force transfer paths of the reference Test cannot be replicated in the Test Rig, lack of state controllability may cause unnecessarily large input forces and an increased remaining output error. We advocate the use of passive components to improve output tracking and limit input force demands of dynamic Test Rigs in the case that controllability is lacking. A method for introducing such passive components is described in this paper. It uses a virtual Testing model of the Test system with genetic algorithm optimization and TWR in the loop to calculate the position and dynamic properties of the proposed passive component.
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A method for improving Test Rig performance using passive components
Mechanical Systems and Signal Processing, 2015Co-Authors: Anders T Johansson, Thomas AbrahamssonAbstract:The time waveform replication (TWR) algorithm is presently used in industry for calculating the actuation force needed to replicate a certain reference sensor output in a Test Rig. Power and force rate limitations restrict the feasible range of that actuation force. If the input force distribution of the reference Test cannot be replicated in the Test Rig, the required Test Rig input force magnitudes may be large or the replication properties poor due to lack of controllability. To circumvent this, a theory of passive components to improve replication and limit the input force demands of dynamic Test Rigs is developed. The theory fits within the framework of the TWR algorithm.
Amir Sisu Arman - One of the best experts on this subject based on the ideXlab platform.
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Development Of Quarter Car Test Rig For Vehicle Ride Analysis
2008Co-Authors: Amir Sisu ArmanAbstract:Development of quarter car Test Rig for vehicle ride analysis is the new idea to support our industry especially in automotive field. The technology that will be used is a not the high technology but the concept to develop the idea and the result of the scope is the main important thing we must consider. Writing in this report is the starting point to introduce about this project. It consists of the introduction, literature review to develop this project and also some methodology to do analysis and drawing to complete the prototype and so on to design the actual drawing. The equations of motion for the quarter-car model are derived in state space as well as a transfer function form that applied at the Simulink programmer of Matlab. Several Tests will be run in simulation to investigate the performance and the characteristic of suspension system for quarter car model. By using the acceleration measurements from the quarter-car Test Rig, a quarter-car parameter and the characteristic optimization for use in the Test Rig was performed via operation the machine. Based on the operation, the suspension characteristic for quarter car model will be identified. End of this project, we will achieved the result and fulfill the objective of this project that to design of a small scale quarter car Test Rig, to design an instrument from system for quarter car Test Rig and to identify the suspension characteristic of the quarter car Test Rig.
Aurelio Soma - One of the best experts on this subject based on the ideXlab platform.
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Example of Real-Time Application for Scaled Test Rig
Mechatronic Modeling of Real-Time Wheel-Rail Contact, 2013Co-Authors: Nicola Bosso, Maksym Spiryagin, Antonio Gugliotta, Aurelio SomaAbstract:This chapter presents the real-time simulation of a scaled Test Rig executed with the dSpace hardware system. The assembly of the real-time mechatronics model relies on the developed contact model, and the multibody model created by using existing SimMechanics libraries, whereas the controllers are described as a regular MATLAB/Simulink model. Models and controller tasks are run under dSpace Release 6.4. A novelty of this chapter is the introduction of the mechatronics model of a scaled Test Rig incorporating a more accurate simulation of the contact forces, which allows it to be executed in a real-time mode and also facilitates the development of a hardware-in-the-loop system to establish a virtual running Test Rig.
Maksym Spiryagin - One of the best experts on this subject based on the ideXlab platform.
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Real-time multibody modeling and simulation of a scaled bogie Test Rig
Railway Engineering Science, 2020Co-Authors: Sundar Shrestha, Maksym Spiryagin, Qing WuAbstract:In wheel–rail adhesion studies, most of the Test Rigs used are simplified designs such as a single wheel or wheelset, but the results may not be accurate. Alternatively, representing the complex system by using a full vehicle model provides accurate results but may incur complexity in design. To trade off accuracy over complexity, a bogie model can be the optimum selection. Furthermore, only a real-time model can replicate its physical counterpart in the time domain. Developing such a model requires broad expertise and appropriate software and hardware. A few published works are available which deal with real-time modeling. However, the influence of the control system has not been included in those works. To address these issues, a real-time scaled bogie Test Rig including the control system is essential. Therefore, a 1:4 scaled bogie roller Rig is developed to study the adhesion between wheel and roller contact. To compare the performances obtained from the scaled bogie Test Rig and to expand the Test applications, a numerical simulation model of that scaled bogie Test Rig is developed using Gensys multibody software. This model is the complete model of the Test Rig which delivers more precise results. To exactly represent the physical counterpart system in the time domain, a real-time scaled bogie Test Rig (RT-SBTR) is developed after four consecutive stages. Then, to simulate the RT-SBTR to solve the internal state equations and functions representing the physical counterpart system in equal or less than actual time, the real-time simulation environment is prepared in two stages. To such end, the computational time improved from 4 times slower than real time to 2 times faster than real time. Finally, the real-time scaled bogie model is also incorporated with the braking control system which slightly reduces the computational performances without affecting real-time capability.
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Example of Real-Time Application for Scaled Test Rig
Mechatronic Modeling of Real-Time Wheel-Rail Contact, 2013Co-Authors: Nicola Bosso, Maksym Spiryagin, Antonio Gugliotta, Aurelio SomaAbstract:This chapter presents the real-time simulation of a scaled Test Rig executed with the dSpace hardware system. The assembly of the real-time mechatronics model relies on the developed contact model, and the multibody model created by using existing SimMechanics libraries, whereas the controllers are described as a regular MATLAB/Simulink model. Models and controller tasks are run under dSpace Release 6.4. A novelty of this chapter is the introduction of the mechatronics model of a scaled Test Rig incorporating a more accurate simulation of the contact forces, which allows it to be executed in a real-time mode and also facilitates the development of a hardware-in-the-loop system to establish a virtual running Test Rig.
Anders T Johansson - One of the best experts on this subject based on the ideXlab platform.
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Improving Test Rig performance using passive components
Topics in Modal Analysis II Volume 6, 2017Co-Authors: Anders T Johansson, Thomas AbrahamssonAbstract:The Time Waveform Replication (TWR) algorithm is presently used in industry for calculating the input force needed to replicate reference sensor outputs in a dynamic Test Rig. The feasible range of that input force is restricted by power supply and forcing rate limitations. If the force transfer paths of the reference Test cannot be replicated in the Test Rig, lack of state controllability may cause unnecessarily large input forces and an increased remaining output error. We advocate the use of passive components to improve output tracking and limit input force demands of dynamic Test Rigs in the case that controllability is lacking. A method for introducing such passive components is described in this paper. It uses a virtual Testing model of the Test system with genetic algorithm optimization and TWR in the loop to calculate the position and dynamic properties of the proposed passive component.
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A method for improving Test Rig performance using passive components
Mechanical Systems and Signal Processing, 2015Co-Authors: Anders T Johansson, Thomas AbrahamssonAbstract:The time waveform replication (TWR) algorithm is presently used in industry for calculating the actuation force needed to replicate a certain reference sensor output in a Test Rig. Power and force rate limitations restrict the feasible range of that actuation force. If the input force distribution of the reference Test cannot be replicated in the Test Rig, the required Test Rig input force magnitudes may be large or the replication properties poor due to lack of controllability. To circumvent this, a theory of passive components to improve replication and limit the input force demands of dynamic Test Rigs is developed. The theory fits within the framework of the TWR algorithm.
