The environmental issues induced by the high speed railway become more and more serious with its rapid development. In order to control the low-frequency structure noise of the box-girder bridge of high speed railway,...
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ISBN:
(纸本)9789811063732;9789811063725
The environmental issues induced by the high speed railway become more and more serious with its rapid development. In order to control the low-frequency structure noise of the box-girder bridge of high speed railway, this paper proposes a new idea that the multi-mass-dampers (MTMDs) may be used. A sound radiation analysis model of the box-girder bridge is developed to validate the idea and to evaluate the control effect. Firstly, a vehicle-track-bridge coupled dynamic model is established to obtain the dynamic responses of the box-girder bridge induced by the excitation of German railway spectra of low irregularity. Then the sound radiation analysis model of the box-girder bridge is established using boundary element method and the dynamic responses are used as the boundary condition to solve the acoustic radiation characteristics of the box-girder bridge. The mechanism of noise radiation of the box-girder bridge is analyzed combined the acoustic radiation efficiency, the vibration response and the vibration distribution. Finally, the MTMDs are using to control the noise radiated by the box-girder bridge based on its mechanism of noise radiation and the control effect is evaluated.
A method using optimal control results as input to operator assist systems, automatic functions and autonomous construction machine control is presented. This method complements the vast research within autonomy to ac...
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ISBN:
(纸本)9781509011780
A method using optimal control results as input to operator assist systems, automatic functions and autonomous construction machine control is presented. This method complements the vast research within autonomy to achieve the most fuel efficient solution from results that are already available from concept evaluation and system optimization in early development. The optimal control results are validated and compared to an extensive empirical study to ensure realization in real applications. The optimal control method is based on dynamic programming and finds the global optimum in regards to fuel efficiency [ton/l] at a given productivity [ton/hi. The wheel loader is used as an example due to the complex nature of the system, where the driveline and working hydraulics must work together throughout the work cycle. The main focus in this paper is how to transfer results from the optimal control calculations done offline, with high computational power, to algorithms that can be used online in operator assist systems, automatic functions and autonomous machine control. The primary result is that the method and algorithms presented in this paper works. The secondary results is that the optimal control solution shows around 15% higher fuel efficiency compared to the highest fuel efficiency measured among real operators in the extensive empirical measurement. The operator with the highest measured fuel efficiency has 2030% higher average fuel efficiency than the fleet implying that the optimal control results, if used in operator assist systems, automatic functions and autonomous machine control, can increase the average fleet fuel efficiency by up to 35 45%, depending on operator and application.
The precise positions of feature points in the image space are crucial for tracking systems of welding robots. And hence the quality of feature detection directly affects the accuracy of the motion of the welding robo...
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ISBN:
(纸本)9781509037742
The precise positions of feature points in the image space are crucial for tracking systems of welding robots. And hence the quality of feature detection directly affects the accuracy of the motion of the welding robots. Moreover, a low computational cost is also needed in a real-time tracking system. This paper presents a method which effectively detects the features of the V-groove weld seam based on their geometries. A camera and a cross-line structured light are constructed to be used as the visual sensing system. Firstly, the skeletonization has applied to the image. Subsequently, Hough transform is used to find the main line of the light stripe. Secondly, The farthest point algorithm is used to estimate the bottom feature point of the weld seam. Finally, the left and right feature points are estimated by the least squares line fitting method. The experimental results show that the features can be precisely recognised by the proposed method. In addition, the computational cost of the proposed method is not expensive, and thus it satisfies the requirement of a real-time system.
Privacy has been one of the focus in information security discussion over years and it has become an issue everyone would like to protect though sometime people end up giving up some of their privacy in exchange of ot...
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In this paper the nonsmooth optimization technique is proposed for parameter tuning of a set of PI controllers. PI controllers connected in a cascade structure are controlling the stator currents and the rotor speed o...
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Anti-windup schemes can be used to reduce the effect of piezo actuator saturation for the tracking and positioning applications. In the case of applying the anti-windup scheme for the vibration attenuation, the satura...
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Robot manipulation has been an interesting topic for researchers over decades. While researches are going on, different problems occurred. One of the most important problems is energy consumption. Because operation ti...
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ISBN:
(纸本)9781509011780
Robot manipulation has been an interesting topic for researchers over decades. While researches are going on, different problems occurred. One of the most important problems is energy consumption. Because operation time of mobile robots is fully related with energy consumption. In this study two main problems are taken into consideration, first one is minimization of energy consumption and second one is obstacle avoidance. For this purpose, a simple robot manipulator with two degrees of freedom is chosen. The objective function is selected as a function of applied torque values at the joints, minimization of objective function, results in minimization of motor currents. The algorithm checks if there is a contact between the obstacles and the manipulator, while the algorithm is searching for the trajectory polynomial that requires minimum energy consumption. Finally, the algorithm finds the trajectory polynomial that contains no contact between the manipulator and the obstacles, also minimizes energy consumption.
The paper deals with the problem of simultaneous estimation of the state as well as actuator and sensor faults for non-linear dynamic systems. The actuator and sensor faults can appear simultaneously, at the same time...
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In the process of large-scale chemical engineering, more useful industrial process information can be obtained by increasing measuring variables, defined as system features. However, the increase in amount of features...
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ISBN:
(纸本)9781509055074
In the process of large-scale chemical engineering, more useful industrial process information can be obtained by increasing measuring variables, defined as system features. However, the increase in amount of features will lead to the high computation cost and reduce the efficiency of the process monitoring system. To solve this issue, those features that are redundant or bring an incorrect result should be removed before the process monitoring. Feature selection is the issue of selecting a subset of most informative features from the full set of features. A novel multiple kernel learning based method is proposed for the feature selection. Distinguished with the literature, the feature selection problem is transformed into an optimization problem in the multiple kernel learning, which avoids the drawback called the "monotonic" problem in conventional feature selection methods. Finally, the performance of the proposed method for feature selection in process monitoring is demonstrated through the experiment in Tennessee Eastman benchmark process.
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