In this paper, a novel explicit method for decoupling coupled multi-spring systems in the structural dynamic analysis is proposed by ensuring the second-order accuracy in the low-frequency domain. Two parameters mu an...
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In this paper, a novel explicit method for decoupling coupled multi-spring systems in the structural dynamic analysis is proposed by ensuring the second-order accuracy in the low-frequency domain. Two parameters mu and beta are introduced in this method to flexibly adjust the stability and accuracy properties and suppress the high-frequency spurious vibrations in the solution. Firstly, the standard formulations of this method are derived and its stability and accuracy are analyzed through comparisons with other available state-of-the-art explicit methods in the literature. Then, the performance of this proposed method is specifically evaluated in terms of accuracy, dissipation in the high-frequency domain and computational efficiency, and effectiveness in dealing with nonlinearity through three examples. Finally, a vertical coupled multi-spring system, a train-rail-sleeper-ballast-bridge system, is employed to demonstrate the efficiency and decoupling properties of the proposed method. The presented attractive performance of this method illustrates its advantages in engineering applications. (C) 2018 Elsevier Ltd. All rights reserved.
The large manipulator outside the space cabin is a multi-degree of freedom actuator for space *** order to realize the automatic control and flexible operation of the space manipulator,a novel spoke structure piezoele...
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The large manipulator outside the space cabin is a multi-degree of freedom actuator for space *** order to realize the automatic control and flexible operation of the space manipulator,a novel spoke structure piezoelectric six-dimensional force/torque sensor with redundancy ability,high stiffness and good decoupling performance is innovatively *** on the deformation coordination relationship,the redundancy measurement mechanism is *** mathematical models of the sensor with and without branch fault are established *** finite element model is established to verify the feasibility of structure and redundancy measuring principle of the *** on the theoretical analysis and simulation analysis,the prototype of the sensor is *** and dynamic calibration experiments are carried *** actual output voltage signal of the six-dimensional force/torque sensor is collected to establish the equation between the standard input applied load and the actual output voltage *** on ant colony optimized BP algorithm,performance indexes of the sensor with and without branch fault are analyzed *** experimental results show that the spoke piezoelectric sixdimensional force/torque sensor with the eight-point support structure has good accuracy and ***,it has strong decoupling characteristic that can effectively shield the coupling between *** nonlinear errors and maximum interference errors of decoupled data with and without branch faults are less than 1% and 2%,*** natural frequency of the sixdimensional force sensor can reach 2856.45 Hz and has good dynamic *** research content lays a theoretical and experimental foundation for the design,development and application of the new six-dimensional force/torque sensors with ***,it will significantly improve the research level in this field,and provide a strong guarantee for the smoot
Multiple magnetically controlled soft robots are more efficient in terms of task execution. However, how to realize such multiple robots moving along the respective different paths is still a challenge since they are ...
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Multiple magnetically controlled soft robots are more efficient in terms of task execution. However, how to realize such multiple robots moving along the respective different paths is still a challenge since they are in one driving magnetic field. In order to deal with this problem, this paper proposes a cooperative control method by fusing their parallel cooperative motion (multiple robots moving simultaneously) and their independent cooperative motion (single robot moving). Yet, there are two strong couplings in the fusion of such two cooperative motions, which makes the control more difficult. Thus, an enumeration-based decoupling algorithm is developed for the first combined mode coupling, and the speed of each robot is planned for the second motion speed coupling. Then, a neural network-based controller is developed to achieve the respective speed control simultaneously of multiple robots, and the deviation limiting controller is constructed to compensate the deviation angle. Finally, through the actual experiments, it is verified that the proposed method realizes effectively the motion of two robots along different paths and the mean absolute error of speed is about 0.1091 mm/s and 0.2118 mm/s, while the mean absolute error of tracking is about 0.3369 mm and 0.4454 mm, respectively.
Force sensing is important in robot-assisted minimally invasive surgery (MIS), but it is still difficult to achieve both miniaturization and multidimensional perception at the same time. A modular design scheme of a m...
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Force sensing is important in robot-assisted minimally invasive surgery (MIS), but it is still difficult to achieve both miniaturization and multidimensional perception at the same time. A modular design scheme of a miniature 6-D force sensor that can be integrated into an MIS robot is proposed. The force and moment applied on the sensor are converted into the signal response of the pressure-sensitive element, and the position of the pressure-sensitive element is located using flexible printed circuit board (FPCB), with which the wiring of signal circuits is simplified. The blind signal separation fast independent component analysis (FastICA) algorithm is used to decouple the output signal. The calibration experiment of the proposed sensor was carried out, and the calibration matrix was established. From the comparative experiment with commercial sensors, the accuracy, linearity, hysteresis, coupling error, and other performance of the proposed sensor are verified. The maximum coupling error is 2.8%, and the maximum stable measuring error is 3.9%. Analysis and experiments proved the rationality and scientificity of the sensor. This work opens up new ideas for the miniaturization, modularization, and integration of sensors for surgical robots.
For coupling problems such as the Navier--Stokes--Darcy problem in porous and fluid layers, a natural question is that, while the orders of polynomials approximating the variables are different, could the lower order ...
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For coupling problems such as the Navier--Stokes--Darcy problem in porous and fluid layers, a natural question is that, while the orders of polynomials approximating the variables are different, could the lower order elements pollute the higher ones? In this paper, the numerical pol-lution of a decoupled algorithm for the unsteady convection model in superposed fluid and porous layers is studied. We first prove the existence and uniqueness of the weak solution to the convec-tion model with Beavers--Joseph--Saffman interface conditions, by using vanishing viscosity methods together with backward-Euler time discretization. Second, an efficient decoupled algorithm of the model based on the Lagrange multiplier method is proposed, and its stability is proved under some restrictions on coefficients and initial values. Then the optimal error estimates are provided reveal-ing that the optimal convergence orders can be achieved without using equal or similar order finite elements for the fluid velocities in fluid and porous layers. This means that there is no numerical pollution between lower and higher order elements when the matched finite element pairs are used. Finally, numerical tests are implemented to verify our theoretical results.
In this paper, we propose time filter algorithm based on the Backward Euler method for the non-stationary Navier-Stokes/Darcy problems. The decoupling method is composed of Backward Euler method and normal time filter...
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In this paper, we propose time filter algorithm based on the Backward Euler method for the non-stationary Navier-Stokes/Darcy problems. The decoupling method is composed of Backward Euler method and normal time filter. Stability and the second-order convergence are also proved in details. Finally, numerical examples are listed to validate the theoretical analysis.
Stress imbalance significantly affects the performance of a press-pack insulated gate bipolar transistor (IGBT). Time-variant loads and conditions lead to the stress fluctuations, exacerbating the impacts. The convent...
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Stress imbalance significantly affects the performance of a press-pack insulated gate bipolar transistor (IGBT). Time-variant loads and conditions lead to the stress fluctuations, exacerbating the impacts. The conventional reliability optimization faces efficiency barriers due to the nested time-variant reliability analysis and design optimization. In this paper, a time-variant reliability optimization approach for press-pack IGBTs is proposed to address the efficiency issue of the IGBT reliability optimization. The performance functions of the maximum and typical stresses are formulated as the optimization objective and constraint. A time-variant reliability optimization model is formulated considering the stress balance reliability degradation within the service cycle. A decoupling algorithm is proposed to transform the nested optimization into a sequential iteration of static reliability optimization and time-variant reliability analysis. The reliability analysis utilizes the performance function continuity in the time domain to reduce the evaluations for the most likelihood points, thereby enhancing efficiency. Numerical and experimental results on an actual IGBT demonstrate the accuracy of the stress balance performance analysis. The time-variant reliability optimization based on the performance functions improves the stress balance performance by 16.3% and meets the reliability requirements within the service cycle. Compared with the conventional double-loop approach, the difference between the solution of the proposed approach with the reference solution is 0.4%, and the efficiency is 334 times that of the double-loop approach. The performance advantages in accuracy and efficiency exhibit the application potential of this approach.
Multiphase motors offer more degrees of freedom when compared to their three-phase counterparts. Their intrinsic redundant structure enables the post-fault operation of the drive, thus preventing inoperability. Additi...
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In this paper, a time-dependent robust optimization model is proposed by introducing a concept of expected interval quality loss as the robustness metric. The purpose is to provide a potential analysis tool for power ...
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In this paper, a time-dependent robust optimization model is proposed by introducing a concept of expected interval quality loss as the robustness metric. The purpose is to provide a potential analysis tool for power semiconductor devices involving stochastic processes. Unlike conventional robustness indicators, the metric is formulated by calculating the expectation and variation of the maximal instantaneous quality loss and capturing the auto-correlation of the quality loss over the time interval. In terms of model solving, the time-dependent robust optimization involves a nested optimization, namely the outer design optimization requires to call the inner robustness analysis frequently. It will lead to extremely low computational efficiency. For reducing robustness evaluations, a decoupling framework is proposed to convert the nested optimization into a sequential iterative process of design optimization and time-dependent robustness analysis. For further improving the efficiency of each robustness analysis, a semi-second-order approximation of quality characteristics is created based on the information at the previous iteration. Two engineering applications of power semiconductor devices verify the validity and feasibility of the proposed approach. (c) 2021 Elsevier Inc. All rights reserved.
A time-fractional mean-field control (MFC) is developed for a prototype model of accidental spill of a hazardous contaminant in subsurface porous media, which is a representative and recurrent environmental threat to ...
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A time-fractional mean-field control (MFC) is developed for a prototype model of accidental spill of a hazardous contaminant in subsurface porous media, which is a representative and recurrent environmental threat to the public, to optimize the flow pattern so that the spilled contaminant is remediated with the minimal cost required to ensure the clean water supply. A strongly coupled nonlinear system of a multiple time-scale time-fractional transport equation and a backward multiple time-scale time-fractional Hamilton-Jacobi equation is derived using the first-order optimality condition. A sequentially decoupled time-stepping finite element method is derived for the numerical simulation of the MFC. Numerical experiments are presented to investigate the performance of the MFC, which show that the MFC determines an optimal flow pattern to ensure clean groundwater supply during and beyond the time period of contaminant spill with minimal cost.
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