New Pose-Detection Method for Self-Calibrated Cameras Based on Parallel Lines and Its Application in Visual Control System

The mainly used local islanding detection methods may be classified as active and passive methods. Passive methods do not perturb the system but they have larger nondetection zones, whereas active methods have smaller nondetection zones but they perturb the system. In this paper, a new hybrid method is proposed to solve this problem. An over/undervoltage (passive method) has been used to initiate an undervoltage shift (active method), which changes the undervoltage shift of inverter, when the passive method cannot have a clear discrimination between islanding and other events in the system. Simulation results on MATLAB/SIMULINK show that over/undervoltage and undervoltage shifts of hybrid islanding detection method are very effective because they can determine anti-islanding condition very fast.ΔP/P>38.41% could determine anti-islanding condition within 0.04 s;ΔP/P<-24.39% could determine anti-islanding condition within 0.04 s;-24.39%≤ΔP/P≤ 38.41% could determine anti-islanding condition within 0.08 s. This method perturbed the system, only in the case of-24.39% ≤ΔP/P ≤38.41% at which the control system of inverter injected a signal of undervoltage shift as necessary to check if the occurrence condition was an islanding condition or not.

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Modeling and Simulations for Magnetic Manipulation of Micro Objects with a Visual Control System

2021 29th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu53274.2021.9477779 ◽

2021 ◽

Author(s):

Alp Recep Dayan ◽

ve Serhat Yesilyurt

Keyword(s):

Control System ◽

Visual Control ◽

Modeling And Simulations ◽

Magnetic Manipulation

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A Visual Control System Using Image Processing and Fuzzy Theory

Springer Series in Perception Engineering - Vision-based Vehicle Guidance ◽

10.1007/978-1-4612-2778-6_4 ◽

1992 ◽

pp. 111-128 ◽

Cited By ~ 8

Author(s):

Hiroshi Kamada ◽

Masumi Yoshida

Keyword(s):

Image Processing ◽

Control System ◽

Fuzzy Theory ◽

Visual Control

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Visual control system for grip of glasses oriented to assistance robotics

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i6.pp6330-6339 ◽

2020 ◽

Vol 10 (6) ◽

pp. 6330

Author(s):

Robinson Jimenez-Moreno ◽

Astrid Rubiano ◽

Jose L. Ramirez

Keyword(s):

Quality Of Life ◽

Artificial Intelligence ◽

Control System ◽

Fuzzy System ◽

People With Disabilities ◽

Visual Control ◽

Liquid Level ◽

Robotic Arm ◽

Artificial Intelligence Techniques

Assistance robotics is presented as a means of improving the quality of life of people with disabilities, an application case is presented in assisted feeding. This paper presents the development of a system based on artificial intelligence techniques, for the grip of a glass, so that it does not slip during its manipulation by means of a robotic arm, as the liquid level varies. A faster R-CNN is used for the detection of the glass and the arm's gripper, and from the data obtained by the network, the mass of the beverage is estimated, and a delta of distance between the gripper and the liquid. These estimated values are used as inputs for a fuzzy system which has as output the torque that the motor that drives the gripper must exert. It was possible to obtain a 97.3% accuracy in the detection of the elements of interest in the environment with the faster R-CNN, and a 76% performance in the grips of the glass through the fuzzy algorithm.

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