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This paper investigates the performance of neural networks in positioning an industrial robot manipulator based on image feedback. Visual servoing regulates the pose of the robot manipulator in accordance with the target image data. As the servoing proceeds, the end‐effector positions to its final pose as the image feature error exponentially decreases to zero. In this paper, the trained network moves...
There are many industries which uses various industrial robots for their production tasks like painting, wielding etc. In the majority industries human and robots shares the same work environment which results chances of accidents between human and robots if robots are not equipped with proper protection. In this paper, a new method is proposed to avoid such collisions between human and robot in automation...
With the advent of real time Phasor Measurement Units (PMUs), synchronised phasor measurements are possible which allows monitoring of dynamic phenomena. PMU terminals installed in proper nodes of power systems enable increasing the transmission capacity. Also it improves the operational safety of the power system. The better measurement performance and system wide data for monitoring and presentation...
The relative phase position of AC voltages and currents in different parts of an electric power system determines the stability and the dynamic performance of the system. The introduction of phasor measurement units (PMUs) in power systems significantly improves the possibilities for monitoring and analyzing power system dynamics. In this paper a Recursive DFT algorithm is adopted for the development...
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