The article presents thermal analysis of three-phase induction motor using coupled circuit models. The MATLAB/SIMULINK environment and PLECS toolbox were used to create mathematical model of the examined motor. Coeffi...
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The article presents thermal analysis of three-phase induction motor using coupled circuit models. The MATLAB/SIMULINK environment and PLECS toolbox were used to create mathematical model of the examined motor. Coefficient of heat transfer through the winding was set experimentally. Results of calculations presented are verified by the measurements on the physical motor.
Abstract This work purposes using a 3D PMD camera as a sensor for mobile robot applications. The use of image sensors for environment detection is substantial and common usage in mobile robot exploration. Laser scanne...
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Abstract This work purposes using a 3D PMD camera as a sensor for mobile robot applications. The use of image sensors for environment detection is substantial and common usage in mobile robot exploration. Laser scanners, 3D stereo vision or a combination of them are be used generally. The PMD camera is a novel 3D measuring system, which is based on a time-of-flight principle. The main feature is an array sensor, which can measure the distance to the target without scanning. This relatively new technology offers a cost-effective alternative to the mentioned sensors. In the following we present methods for self-localization and 3D map building by remote sensor data acquisition. This allows the teleoperative control of a mobile robot in an unknown environment. To enhance the mobile robot tasks, a CCD and the PMD camera are registered in order to create the three dimensional mapping. The CCD texture data will be overlaid with the PMD depth data to increase the accuracy of the lateral resolution. The visual input from the CCD camera not only delivers high resolution texture data, it can also apply for object recognition in clutter environment.
This paper presents a vision-tracking system for a mobile robot, using robot motion and stereo vision data. The mobile robot has an actuator module which pans and tilts an integrated stereo camera. The proposed system...
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The User Model plays a significant role in many personalized applications. Separated user modeling results in the fragments of the user model being distributed on the Web, but user modeling in a Multi-Application Envi...
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This paper presents a vision-tracking for mobile robots, which tracks a moving target based on robot motion and stereo vision information. The proposed system controls pan and tilt actuators attached to a stereo camer...
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Along with technology progress and fast paced development in China railway, the issue of safety is increasingly significant for all the involved technical equipments, especially for train control system. However, in v...
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This paper presents a deterministic and adaptive spike model derived from radial basis functionsand a leaky integrate-and-fire sampler developed for training spiking neural networks without directweight manipulation. ...
This paper presents a deterministic and adaptive spike model derived from radial basis functions
and a leaky integrate-and-fire sampler developed for training spiking neural networks without direct
weight manipulation. Several algorithms have been proposed for training spiking neural networks
through biologically-plausible learning mechanisms, such as spike-timing-dependent synaptic plasticity
and Hebbian plasticity. These algorithms typically rely on the ability to update the synaptic strengths,
or weights, directly, through a weight update rule in which the weight increment can be decided
and implemented based on the training equations. However, in several potential applications of
adaptive spiking neural networks, including neuroprosthetic devices and CMOS/memristor nanoscale
neuromorphic chips, the weights cannot be manipulated directly and, instead, tend to change over time
by virtue of the pre- and postsynaptic neural activity. This paper presents an indirect learning method
that induces changes in the synaptic weights by modulating spike-timing-dependent plasticity by means
of controlled input spike trains. In place of the weights, the algorithm manipulates the input spike trains
used to stimulate the input neurons by determining a sequence of spike timings that minimize a desired
objective function and, indirectly, induce the desired synaptic plasticity in the network.
A water level control system for a nuclear steam generator (SG) is proposed. A method to improve the performance of nuclear steam generator in nuclear power station is introduced. Combination of genetic algorithm (GA)...
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This paper attempts to achieve time-optimal performance for servomechanisms via a practical feedback control law. An improvement over the traditional Proximate Time Optimal Servomechanism (PTOS) is proposed in order t...
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In this paper, we describe a system that can carry out visual simultaneous localization and mapping (VSLAM) in structured indoor environments; this system uses a small-sized low-cost commercial humanoid robot which us...
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In this paper, we describe a system that can carry out visual simultaneous localization and mapping (VSLAM) in structured indoor environments; this system uses a small-sized low-cost commercial humanoid robot which uses a camera mounted on a pan-and-tilt device (it was designed and built by us) as his head. Almost all of the VSLAM approaches use points 2D like features of the robot's environment for estimate his pose and the structure of his environment. We propose a new approach to get points 3D (i.e. feature's position and orientation with respect to the current robot's position are known) this approach is based in a monocular 3D reconstruction scheme; with this information we can improve the results in classical SLAM EKF method. Experiments had made in a structured environment, we implemented them for two cases, though; the first one was implemented without odometry and second one was carried out with partial odometry information; that means we included robot's orientation in EKF algorithm. This information had gotten with an IMU (Inertial Measurement Unit), which we installed in the robot. Finally, we want to point out that all the components used into the robotics' platform are low cost.
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