Intelligent Robot Safety Control System Based on MFC

- Food controls are a key issue within the European food safety arena. Since 2002 the legislator is constantly improving the control system in order to better achieve the high safety principles contained in the European regulation n.178 and the network set up in it. Thus, the regulation n. 882/2004 is specifically dedicated to food safety controls: it is the main piece of legislation concerning this aspect as it has been adopted by the co-decisions procedure which involves the European Parliament and the Council. Despite that, it left some "white" spaces to be filled by the implementing measures adopted within the so called comitology procedure in which it is the Commission to act as a co-regulator. The latter is currently implementing art. 15.5. of the regulation n. 882/2004 to set up a system of increased controls for food and feed. Key words: food safety; control system; regulation n. 882/2004.

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RESIDUAL AMOUNTS OF ANTIBIOTICS IN PECHELINE WAX

Problems of Veterinary Sanitation, Hygiene and Ecology ◽

10.36871/vet.san.hyg.ecol.201803004 ◽

2018 ◽

Vol 1 (3) ◽

pp. 23-27

Author(s):

A. M. Smirnov ◽

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R. T. Klochko ◽

S. N. Luganskiy ◽

A. B. Sochlikov ◽

...

Keyword(s):

Experimental Data ◽

Control System ◽

Test System ◽

Safety Control

Unregulated use of antibiotics can lead to their accumulation in bee prod-ucts, in particular, in wax. The most effective methods of detecting residues of an-tibiotics in wax are the analytic test system "Charm-2", which is based on the RIA method. Experimental data testify its suitability and prospects for wide practical use in the bee wax safety control system. The sensitivity of the method to the anti-biotic oxytetracycline is 20 μg/kg with confidence of 95%.

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Multi-Level Control System for an Intelligent Robot that is Part of a Group

Mekhatronika Avtomatizatsiya Upravlenie ◽

10.17587/mau.22.610-615 ◽

2021 ◽

Vol 22 (11) ◽

pp. 610-615

Author(s):

V. I. Rubtsov ◽

K. J. Mashkov ◽

K. V. Konovalov

Keyword(s):

Control System ◽

Mobile Robotics ◽

The State ◽

Control Mode ◽

Intelligent Robot ◽

Level Control ◽

Level Control System ◽

Initial Location ◽

Group Control ◽

Multi Level

The article is devoted to the application of a group of robotic complexes for military purposes. The current state of control systems of single robotic complexes does not allow solving all the tasks assigned to the robot. The analysis of methods of controlling a group of robots in combat conditions is carried out. The necessity of using a multi-level control system for an intelligent combat robot is justified. A multi-level control system for an intelligent robot is proposed. Such a system assumes the possibility of controlling the robot in one of four modes: remote, supervisory, autonomous and group. Moreover, each robot, depending on the external conditions and its condition, can be in any control mode. The application of the technique is shown by the example of the movement of a group of robots with an interval along the front. The problem of the movement of slave robots behind the leader is considered. When forming the robot control algorithm, the method of finite automata was used. The algorithm controls the movement of the RTK in various operating modes: group control mode and autonomous movement mode. In the group control mode, the task is implemented: movement for the leader. For the state of "Movement in formation", an algorithm for forming the trajectory of the movement of guided robots was implemented. An algorithm for approximating the Bezier curve was used. It allows you to build a trajectory for the slave robot. On the basis of the obtained trajectory, the angular and linear velocity were calculated. In the autonomous control mode, two tasks are solved: moving to a given point and avoiding obstacles. Vector Field Histogram was used as an algorithm for detouring an obstacle, which determines the direction of movement without obstacles. The state of "Movement to a given point" is based on Pure Pursuit as a simple and reliable algorithm for solving such problems. A computer model of the movement of a group of robots was developed. The model is implemented in the MATLAB program using the Simulink and Mobile Robotics Simulation Toolbox libraries. Several different variants of the movement of the RTK group are modeled, which differ from each other in the initial location of the robots and the position of obstacles. The conducted computer simulation showed the efficiency and effectiveness of the proposed method of RTC control.

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