During the operation of the rolling stock, the contact surfaces of the wheels and rail become worn. The wear can lead to unwanted changes of the wheel and rail profile and, consequently, to changes in the properties o...
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The aim of this paper is to extend iterative feedback tuning (IFT), which is a data-based approach for controller tuning, with robustness constraints. Hereto a constrained IFT problem is formulated that is solved by i...
This paper discusses a method for introducing frequency-domain robustness constraints in a data-driven control design. The method is based on adaptive weighting filters used in a time-domain cost function to be minimi...
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The incidence pattern of vulnerable road user (VRU) injury is modified by the transport infrastructure on the ground. Recent improvements in modelling capability introduce the possibility of evaluating performance of ...
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The incidence pattern of vulnerable road user (VRU) injury is modified by the transport infrastructure on the ground. Recent improvements in modelling capability introduce the possibility of evaluating performance of safety measures by incorporating a distribution instead of a single standardized test. The question addressed in this work is to estimate the probability distribution of crash initiation modes based on post-crash observations. A multi-body simulation based approach of using adaptive Markov Chain Monte Carlo (MCMC) sampling techniques implemented in statistical software "R" has been used. The two input variables under study were location of VRU along the lateral axis in front of vehicle and shape of vehicle front. The observed output was the locations of head hits on vehicle front profile. Simulation studies on VRU head crash locations from the German In-depth Accident Study (GIDAS) with the severity of injury and the crash vehicle details have been used. These converge to a distribution with mean around the center plane of the vehicle with spread of around 30 cm in one standard deviation.
In order to improve operating noise performance of a seat adjuster mechanism, benchmarking measurements were conducted in different cars for six and eight types of seat adjustment operation. The six types of operation...
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Heat treatment equipment are usually harmful to people, they need to be monitored remotely. As the fact that different types of equipment are used in factories, which leads to the problem that monitoring equipment is ...
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This article presents a potential tool for solving one of the biggest problems of security of network resources in computer networks. This problem are the Distributed Denial of Service attacks, which are able to block...
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This paper presents the transfer function modeling and stability analysis of two induction motors of same ratings and parameters connected in parallel. The induction motors are controlled by a single inverter and the ...
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This paper presents the transfer function modeling and stability analysis of two induction motors of same ratings and parameters connected in parallel. The induction motors are controlled by a single inverter and the entire drive system is modeled using transfer function in LabView. Further, the software is used to perform the stability analysis of the parallel connected induction motor drive under unbalanced load conditions. It is very simple compared with the methods discussed so far to study the performance of the drive under unbalanced load conditions. Control design and simulation toolkits are used to model the drive system and to study the stability analysis. Simulation is done for various operating conditions and the stability investigation is performed for different load conditions and difference in stator and rotor resistances among the two motors.
A micro ball supersonic impact test system was developed for the study of dynamic fracture of ceramic materials. This system consists of (1) low pressure gas gun, (2) sabot assembly and stopper block for velocity mult...
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The aim of this paper is to extend iterative feedback tuning (IFT), which is a data- based approach for controller tuning, with robustness constraints. Hereto a constrained IFT problem is formulated that is solved by ...
The aim of this paper is to extend iterative feedback tuning (IFT), which is a data- based approach for controller tuning, with robustness constraints. Hereto a constrained IFT problem is formulated that is solved by introducing a penalty function. Essentially, the gradient estimates decompose into (a) the well-known IFT gradients and (b) the gradients with respect to this penalty function. Experimental results obtained from the motion control systems of an industrial wafer scanner confirm enhanced performance with guaranteed robustness properties.
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