This paper deals with the problem of on-line identification of the parameters of a realistic dynamical model of a photovoltaic array connected to a power system through a power converter. It has been shown in the lite...
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This paper proposes a novel constructive barrier feedback for reactive collision avoidance between two agents. It incorporates this feature in a formation tracking control strategy for a group of 2nd-order dynamic rob...
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Hardware-in-the-loop simulation (HILS) allows a more realistic evaluation of control approaches than what is possible with pure software simulations, but without the actual complexity of the complete system. This is i...
Hardware-in-the-loop simulation (HILS) allows a more realistic evaluation of control approaches than what is possible with pure software simulations, but without the actual complexity of the complete system. This is important for some complex systems such as orbital robots, where testing of the system is typically not possible after its launch, and an on-ground replica is used to validate the performance of such a system. In this article, an impedance-matching approach is presented to match the end-effector dynamics of a fixed-base robot manipulator with that of a target vehicle-manipulator system (VMS), while taking into account the redundant nullspace dynamics in a connected real-time simulation framework. This approach ensures that the forces and torques exerted by the system on the environment matches with that of the simulated system. The contact wrenches used in our approach are not obtained from numerical simulations, but rather from real physical interaction, which is one of the main advantages of our approach. The effectiveness of our method is validated by demonstrating various physical interaction tasks with the environment, using a suspended aerial manipulator as the target system.
—In this paper, we address the problem of autonomous exploration of unknown environments with an aerial robot equipped with a sensory set that produces large point clouds, such as LiDARs. The main goal is to graduall...
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In this paper we propose a novel approach to generate a synthetic aerial dataset for application in UAV monitoring. We propose to accentuate shape-based object representation by applying texture randomization. A diver...
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Paper deals with simulation analysis of bidirectional power converters system for charging station of electric vehicle in condition of limited power source in city infrastructure. In case of incapability to provide ad...
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ISBN:
(数字)9781728142180
ISBN:
(纸本)9781728142197
Paper deals with simulation analysis of bidirectional power converters system for charging station of electric vehicle in condition of limited power source in city infrastructure. In case of incapability to provide additional power supply through the grid by virtue of historical, architectural and economic reasons it is possible to solve this issue by implementation of mobile battery-powered supply source. The proposed bidirectional power converters system for consist of three-phase dual active bridge two-directional converter and active front end. Bidirectional power converters system operation modes considered in the paper include transmission of energy from both the battery station, and grid and the joint power supply with battery and grid.
In this paper we propose new method to estimate parameters of a damped sinusoidal signal: a frequency, a damping factor, a bias, an amplitude, and a phase. The scheme consists of two cascaded parts. On the first step,...
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ISBN:
(数字)9783907144022
ISBN:
(纸本)9781728188133
In this paper we propose new method to estimate parameters of a damped sinusoidal signal: a frequency, a damping factor, a bias, an amplitude, and a phase. The scheme consists of two cascaded parts. On the first step, the frequency, the damping factor and the bias are estimated. On the second step, these estimates are used to reconstruct the amplitude and the phase. The exponentially damped signals do not provide necessary excitation to parameters identification. To overcome this problem the Dynamic Regressor Extension and Mixing (DREM) method is used to replace third order regression with three first order regression models, where simple relaxation is applied to provide exponential convergence of the estimation error to zero. On the last step, the parameters estimates are calculated from the estimated regression model parameters. Numerical simulations are presented confirming the effectiveness of the proposed methodology.
Gait phase detection is an important task for walking cycle planning because the stability of walking could be estimated by gait phase sequence. The machine learning models were developed for detection of support type...
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This paper deals with the designing of robust trajectory tracking controller for parallel kinematics robotic manipulators that can be used for nonprehensile material handling and dynamic simulators in industrial and m...
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The paper is devoted to investigation of facelift of a modern plant, specifically assembly plant. The question of optimization of production and number of required specialists is examined with Anylogic. The pros of th...
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