The voltage ripples of the half-bridge rectifier lead to the requirement on bulky electrolytic capacitors and voltage difference on the split capacitors. In this paper, a topology for a single-phase rectifier is propo...
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ISBN:
(纸本)9781479957774
The voltage ripples of the half-bridge rectifier lead to the requirement on bulky electrolytic capacitors and voltage difference on the split capacitors. In this paper, a topology for a single-phase rectifier is proposed to reduce the DC-bus voltage ripples and voltage difference without using electrolytic capacitors. The proposed rectifier contains two legs: 1) A rectification leg to maintain the DC-bus voltage and to draw a clean input current with unity power factor;2) A neutral leg to reduce DC-bus voltage ripples and the voltage difference. The two legs are independently controlled and the resulted high performance of the system is achieved. In order to test the system, real-time simulations were conducted and associated results are presented to demonstrate that the system is able to considerably reduce the DC-bus voltage ripples. With the derived system, the total required DC-bus capacitors can be reduced a lot when achieving the same level of voltage ripples.
The paradigm of Petri nets offers a rich modeling power that has been successfully exploited in many different application domains as manufacturing, logistic, traffic, computer and biological domains. In order to deve...
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The paradigm of Petri nets offers a rich modeling power that has been successfully exploited in many different application domains as manufacturing, logistic, traffic, computer and biological domains. In order to develop and analyze Petri models in an efficient and systematic way, appropriate software tools are required. Among the existing software platforms for scientific software development, MATLAB places at the user's disposal a large set of toolboxes with an inutitive graphical interface. This paper describes some of the existing Petri net toolboxes that have been developed on MATLAB, and that cover the needs for the modeling and analysis of discrete, continuous and hybrid systems.
High resolution calculation for the Tsunami run-up simulation at Toyama-bay in Japan is achieved by using Adaptive Mesh Refinement (AMR) method. The method is tested at Hamana-lake for the tide simulation, the water l...
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ISBN:
(纸本)9780727759771
High resolution calculation for the Tsunami run-up simulation at Toyama-bay in Japan is achieved by using Adaptive Mesh Refinement (AMR) method. The method is tested at Hamana-lake for the tide simulation, the water level rising simulation at Toyama-bay and Tsunami runs-up simulation at Toyama-bay. AMR generated the fine mesh at the boundary line between the water and the land. In the case of the tide simulation at Hamana-lake, the reasonably agreement result with the experimental data was given by using the AMR. In the case of water level rising simulation, the method kept the reasonably constant of the total number of calculation meshes by deleting the fine meshes at the far from the interested region, and the method was applied Tsunami run-up simulation at the Toyama-bay.
In this paper, we discuss an identification of contact conditions by active force sensing. The contact conditions include not only contact location but also contact type and contact direction. The contact type is poin...
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ISBN:
(纸本)9781479957378
In this paper, we discuss an identification of contact conditions by active force sensing. The contact conditions include not only contact location but also contact type and contact direction. The contact type is point, soft-finger, line or planar contact with friction. In our previous papers, the contact conditions between a grasped object and its external environment was treated. This paper identifies the contact conditions between fingers and a grasped object by using six-axis force sensors. Each finger has less than six degrees of freedom. Sensing strategies are provided. The experiment system is introduced and our proposed method is verified.
In this paper, a new frequency adaptive DSC-PLL is proposed to improve the grid synchronization when the grid voltage is polluted by harmonics, unbalanced conditions and frequency deviated circumstances. A design meth...
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ISBN:
(纸本)9781479951635
In this paper, a new frequency adaptive DSC-PLL is proposed to improve the grid synchronization when the grid voltage is polluted by harmonics, unbalanced conditions and frequency deviated circumstances. A design method for the proposed PLL adaptive to input frequency variation is discussed, and the frequency adaptive DSC-PLL is evaluated by simulations to show their capability for detecting different harmonic components in a highly polluted grid conditions. Simulation results show the significant effects that mitigate harmonics, unbalance components and detect frequency error through the proposed PLL.
Recently, speed and current controller have been developed for interior permanent magnet synchronous motor (IPMSM). Each method has its own advantage and limitation. However, in the commercial drive system, the contro...
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ISBN:
(纸本)9781479951635
Recently, speed and current controller have been developed for interior permanent magnet synchronous motor (IPMSM). Each method has its own advantage and limitation. However, in the commercial drive system, the controller should be easy to set up and tune in particular for operator, therefore the classical proportional plus integral (PI) controller has widely used due to its simple structure while achieving zero steady-state error. However finding out the parameters of the controller is not any easy task because of complex dynamics of IPMSM. For this reason, this paper presents a novel automated design employed genetic algorithm (GA) to optimize PI speed and current controller of IPMSM. The drive controlsystem is designed on the basis of vector control scheme incorporated with the maximum torque per ampere (MTPA) control strategy to improve the drive performance. Simulation and experimental results verify the effectiveness of the proposed method.
In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual...
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In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual nonlinear model for loaded double inverted pendulum system and the state feedback sliding mode control law is designed for stabilizing the system. Mismatched uncertainties represented by payload variations is considered. Genetic Algorithms are used to optimize the parameters of the sliding mode controller based on a performance index containing the sum of squared errors. The proposed control scheme can significantly suppress chattering effect and improves the performance of the system against uncertainties. Simulation results show the effectiveness of the approach and the robustness of the system against payload changes.
We propose a new framework for how to use sequential Monte Carlo (SMC) algorithms for inference in probabilistic graphical models (PGM). Via a sequential decomposition of the PGM we find a sequence of auxiliary distri...
We propose a new framework for how to use sequential Monte Carlo (SMC) algorithms for inference in probabilistic graphical models (PGM). Via a sequential decomposition of the PGM we find a sequence of auxiliary distributions defined on a monotonically increasing sequence of probability spaces. By targeting these auxiliary distributions using SMC we are able to approximate the full joint distribution defined by the PGM. One of the key merits of the SMC sampler is that it provides an unbiased estimate of the partition function of the model. We also show how it can be used within a particle Markov chain Monte Carlo framework in order to construct high-dimensional block-sampling algorithms for general PGMs.
Manual micromanipulation requires for operators to have enough experience and outstanding skill. A bilateral servo system attempts to convert difficult tasks so as to be felt easier for skilled operators. One of such ...
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Manual micromanipulation requires for operators to have enough experience and outstanding skill. A bilateral servo system attempts to convert difficult tasks so as to be felt easier for skilled operators. One of such a bilateral servo system, which reduces the displacement and expands the force, has been proposed by Kikuchi and Shiraishi[1]. However, concerning to the offset between a master manipulator's stiffness and a slave manipulator's one, its adverse effects of the operation stability becomes remarkable for the change of operator's dynamics. In an actual use, such offset may cause a heavy damage of the manipulated object by the operation. In this study, we propose a self-tuning mechanism which can eliminate such offset problem. And we have confirmed the effectiveness of the proposed method by numerical simulation.
Performance of constrained movements in multiple directions of a workspace simultaneously and in presence of uncertainty is a great challenge for robots. Achieving such tasks by employing control policies which are fu...
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ISBN:
(纸本)9781479947287
Performance of constrained movements in multiple directions of a workspace simultaneously and in presence of uncertainty is a great challenge for robots. Achieving such tasks by employing control policies which are fully determined a priori and do not take into account the system uncertainty can cause undesired stress on the robot end-effector or the environment and result in poor performance. Instead, a sophisticated control policy is required, which can adjust to the varying conditions of a task while taking into account the coupling of motion dynamics between different directions of movement. To this aim, in this paper, we propose a MIMO Extremum Seeking control (ESC)-Model Reference Adaptive control (MRAC) approach with the view of executing fine motion tasks in presence of uncertain task dynamics. ESC enhances robustness of the system to non-parametric uncertainties compared to single MRAC. The proposed approach ensures state tracking as well as optimization of a global state-dependent cost criterion in all directions of movement. We evaluate our approach in simulations and in a real-world robotic engraving task.
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