scholarly journals Logical model of mobile object control

2021 ◽  
Vol 34 (01) ◽  
pp. 504-513
Author(s):  
Stanislav A. Kudzh ◽  
Victor Ya. Tsvetkov
Keyword(s):  
Mathematical Logic ◽  
Control System ◽  
Mobile Object ◽  
Logical Model ◽  
Object Control ◽  
Mobile Objects ◽  
Control Rules ◽  
Excluded Middle ◽  
Soft Control ◽  
Control Tool

This paper describes a logical model applied as a soft control tool to mobile objects. The model of the logical spatial situation without uncertainty, i.e., according to the law of excluded middle, is considered as the basis. Nonetheless, the motion rules are derived using an approach applied in constructible mathematics and logic. The approach consists in the finitude of variants of control and analyzing all potential traffic scenarios. The constructible object considered in this paper is the situation’s logical model. The constructible approach consists in considering the model of a typical railway station by the example of which the traffic is analyzed. The situation’s logical model is implemented as a condition for potential traffic. This model is described using mathematical logic with the help of logical variables and rules. The control system in this case makes use of permissible versions of logical designs. The control relies on the feasibility of traffic. The system of control rules is developed on the basis of the logical situation’s model and formed without uncertainty. The article provides an analysis of complementary kinds of traffic.

scholarly journals The Information Processing Algorithm in a Semi-Passive Homing System for Movable Objects

2021 ◽  
Vol 27 (2) ◽  
pp. 185-194
Author(s):  
V. I. Pavlov ◽  
S. V. Artemova ◽  
T. Yu. Dorokhova ◽  
V. V. Aksenov
Keyword(s):  
Information Processing ◽  
Control System ◽  
Processing Algorithm ◽  
Signal Interference ◽  
Mobile Object ◽  
Structural Diagram ◽  
Mobile Objects

In addition to the existing methods, a new semi-passive homing method for mobile objects is proposed; the advantages and the prospects of the developed method are discussed. A structural diagram of a semi-passive homing control system for a mobile object has been developed and the features of its functioning have been noted. A structural diagram and an algorithm for the functioning of a new block for recognizing signal-interference situations have been developed. The results of the study confirming the feasibility of developing a semi-passive homing method for mobile objects are presented.

scholarly journals Path Planning for Mobile Objects in Four-Dimension Based on Particle Swarm Optimization Method with Penalty Function

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yong Ma ◽  
M. Zamirian ◽  
Yadong Yang ◽  
Yanmin Xu ◽  
Jing Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Penalty Function ◽  
Particle Swarm ◽  
Goal Function ◽  
Optimization Method ◽  
Mobile Object ◽  
Time Varying ◽  
Swarm Optimization ◽  
Calculus Of Variation ◽  
Mobile Objects

We present one algorithm based on particle swarm optimization (PSO) with penalty function to determine the conflict-free path for mobile objects in four-dimension (three spatial and one-time dimensions) with obstacles. The shortest path of the mobile object is set as goal function, which is constrained by conflict-free criterion, path smoothness, and velocity and acceleration requirements. This problem is formulated as a calculus of variation problem (CVP). With parametrization method, the CVP is converted to a time-varying nonlinear programming problem (TNLPP). Constraints of TNLPP are transformed to general TNLPP without any constraints through penalty functions. Then, by using a little calculations and applying the algorithm PSO, the solution of the CVP is consequently obtained. Approach efficiency is confirmed by numerical examples.

scholarly journals EXTRACTING MOBILE OBJECTS IN IMAGES USING A VELODYNE LIDAR POINT CLOUD

2015 ◽  
Vol II-3/W4 ◽  
pp. 247-253 ◽  
Author(s):  
B. Vallet ◽  
W. Xiao ◽  
M. Brédif
Keyword(s):  
Point Cloud ◽  
Mobile Object ◽  
Object A ◽  
Mobile Objects ◽  
Dempster Shafer Theory ◽  
Static Part ◽  
Shafer Theory

This paper presents a full pipeline to extract mobile objects in images based on a simultaneous laser acquisition with a Velodyne scanner. The point cloud is first analysed to extract mobile objects in 3D. This is done using Dempster-Shafer theory and it results in weights telling for each points if it corresponds to a mobile object, a fixed object or if no decision can be made based on the data (unknown). These weights are projected in an image acquired simultaneously and used to segment the image between the mobile and the static part of the scene.

Application of Fuzzy Control in Transformer Cooling System

2011 ◽  
Vol 383-390 ◽  
pp. 1262-1266
Author(s):  
Zhen Guo Jia
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Lookup Table ◽  
Control Rules ◽  
Cooling Control ◽  
System Energy ◽  
Automation Level

Designed a device with PLC and inverter for transformer cooling control system. The structure of fuzzy controller is built with PLC. By calculating and testing, fuzzy and fuzzy control rules are established. Practical computing for the PLC to control the output lookup table is given. Using this technique, transformer cooling system energy consumption will be reduced, transformer’s coolers life will be extended and transformer cooling system automation level will be increased.

Integrated Planning Of Active Mobile Objects Control System With Allowance of Uncertainty Factors

2012 ◽  
Author(s):  
Sergey V. Kokorin ◽  
Semyon A. Potrasaev ◽  
Boris V. Sokolov ◽  
Viacheslav A. Zelentsov ◽  
Yuri A. Merkuryev
Keyword(s):  
Control System ◽  
Integrated Planning ◽  
Uncertainty Factors ◽  
Mobile Objects

Research on Temperature Control System with a Scaling Factor for Iron Ore Reduction Measuration

2012 ◽  
Vol 542-543 ◽  
pp. 143-146
Author(s):  
Dong Xie ◽  
Jin Liang Shi ◽  
Qun Wei Yu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Iron Ore ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Control Device ◽  
Temperature Control System ◽  
Ore Reduction ◽  
Control Rules ◽  
Iron Ore Reduction

This paper presents the principle of iron ore reduction measuration system. According to characteristics of temperature developing in experimental, the proper control rules are adopted in different temperature ranges and the self-optimizing algorithm is used in controller design. A new fuzzy controller with self-tuning factor for temperature control system can replace the traditional instrument control device and achieve precise temperature control. The result of experimentation shows that the control system has satisfactory performance with better reliability and efficacy. This method adopted in controller is practical and worthy for reference.

The Application of Fuzzy Control in the Foam Fire Extinguishing System

2012 ◽  
Vol 246-247 ◽  
pp. 893-897
Author(s):  
Ke Ming Lv ◽  
Meng You Huo ◽  
Fang Yi Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Parameters ◽  
Fuzzy Control System ◽  
Precise Control ◽  
Fire Extinguishing ◽  
Control Rules ◽  
Fuzzy Control Algorithm ◽  
Fire Extinguishing System

In order to achieve the precise control of the compressed air foam proportioning on the fire engines, in this paper, the PIC microcontroller and the fuzzy control algorithm are used to design the microcontroller-based foam proportioning hybrid fuzzy control system. Taking into account the system cost and ease, we use the software to implement the fuzzy control of DC motor. The controller learns from the experience of skilled operators, and forms fuzzy control rules, finally we identify a number of important control parameters in this paper. The experimental results show that the fuzzy control system can achieve precise control of the mixing ratio

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