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

Study on Simulation of Multi-Loop Networked Control System

2013 ◽  
Vol 694-697 ◽  
pp. 2065-2068 ◽  
Author(s):  
Fang He ◽  
Jia Jia Pang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Production Line ◽  
Loss Rate ◽  
Transmission Rate ◽  
Influence Factors ◽  
Networked Control System ◽  
Network Scheduling ◽  
Uncertainty Factors ◽  
Work Done

Multi-loop NCS is widely used in machinery networked manufacturing production line. The performances of NCS are influenced by the network scheduling and some uncertainty factors, such as transmission rate, delay, loss rate of packet, disturbance, and so on. Considering these influence factors, a simulation model of a multi-loop is constructed using TrueTime toolbox of Matlab software. The related study methods of performance of NCS are given. As the result of simulation, the performances of multi-loop NCS are observed and analyzed. The work done in this paper is very meaningful and helpful to further make related control strategy improving the research on performances of multi-loop NCS.

IDENTIFICATION OF UNCERTAINTY FACTORS OF OPERATING CONDITIONS OF A ONE-CHANNEL ATTITUDE CONTROL SYSTEM

2020 ◽  
pp. 3-10
Author(s):  
I. S. Kikin
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Measurement Errors ◽  
Observation Interval ◽  
Measurement Data ◽  
Operating Conditions ◽  
Identification Algorithm ◽  
State Variables ◽  
Uncertainty Factors ◽  
Disturbance Torque

A version of simulated mathematical model (SMM) of a one-channel attitude automatic control system (ACS) for a platform based on an angular velocity sensor (AVS) is presented that is capable to identify random factors defining conditions of ACS functioning: disturbance torque acting on the platform and initial measurement errors (additive and multiplicative AVS errors). Values of above-listed uncertainty factors of measurement data and external inputs on the observation interval are set as random numbers that stay constant on this interval. The presented model version allows to determine with high fidelity the temporal evolution of measurement errors of the platform state variables on the observation interval. The purpose of the parametrical identification algorithm – creating such a sequence of trial values of AVS errors to be found that would provide extremum adjustment of the identification performance functional. In the designed ACS model an estimate of the disturbance torque acting on the platform is calculated by the end of the above mentioned search. Thus the task of identification of all random parameters defining the conditions of the ACS is completed.

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 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.

C06: Development of embedded control system for mobile objects using UML

2004 ◽  
Vol 37 (20) ◽  
pp. 293-298
Author(s):  
Jiří Kotzian ◽  
Vilém Srovnal
Keyword(s):  
Control System ◽  
Embedded Control ◽  
Embedded Control System ◽  
Mobile Objects

scholarly journals Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zemin Ren ◽  
Shiping Wen ◽  
Qingyu Li ◽  
Yuming Feng ◽  
Ning Tang
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Parameter Uncertainty ◽  
Impulsive Control ◽  
Schwarz Inequality ◽  
Sufficient Condition ◽  
Uncertainty Factors ◽  
Numerical Example ◽  
Gain Error ◽  
The Stability

Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this system is established based on the generalized Cauchy–Schwarz inequality in this paper. Compared with some existing results, the proposed method is more practically applicable. The effectiveness of the proposed method is shown by a numerical example.

A controller for safe, convenient operation of LaB6 emitters on electron-beam instruments

1983 ◽  
Vol 41 ◽  
pp. 408-409
Author(s):  
W. J. Abramson ◽  
H. W. Estry ◽  
L. F. Allard
Keyword(s):  
Electron Beam ◽  
Control System ◽  
Thermal Shock ◽  
Appropriate Care ◽  
Electron Guns ◽  
Tungsten Filaments ◽  
Order Of Magnitude ◽  
Main Components

LaB6 emitters are becoming increasingly popular as direct replacements for tungsten filaments in the electron guns of modern electron-beam instruments. These emitters offer order of magnitude increases in beam brightness, and, with appropriate care in operation, a corresponding increase in source lifetime. They are, however, an order of magnitude more expensive, and may be easily damaged (by improper vacuum conditions and thermal shock) during saturation/desaturation operations. These operations typically require several minutes of an operator's attention, which becomes tedious and subject to error, particularly since the emitter must be cooled during sample exchanges to minimize damage from random vacuum excursions. We have designed a control system for LaBg emitters which relieves the operator of the necessity for manually controlling the emitter power, minimizes the danger of accidental improper operation, and makes the use of these emitters routine on multi-user instruments.Figure 1 is a block schematic of the main components of the control system, and Figure 2 shows the control box.

Sign in / Sign up

Export Citation Format

Share Document