Construction of ground control points for spacecraft using optimization-simulation model

The article deals with the application of simulation modeling and optimization-simulation approach to solving problems of synthesis of structures of automated spacecraft control systems, namely, the choice of spacecraft control points, which are multifunctional aggregates of stationary and mobile elements dispersed in space with developed technical means of receiving, transmitting and processing information. Various approaches to the joint use of optimization and simulation models in the synthesis of the structure of complex systems are analyzed. The main attention is paid to the possibility of joint use in the synthesis of optimization and simulation models, their rational interaction in optimization and simulation procedures that describe both the composition and interrelationships of the structural elements of the system, as well as dynamic and stochastic aspects of their functioning. An optimization-simulation approach based on the joint use of optimization and simulation models in the process of searching for optimal structure options is proposed. Rational mapping of a set of interrelated functions performed by a control system into a set of interconnected nodes with appropriate technical means, taking into account the costs of creating or reconstructing the system, the costs of operation and operation, the requirements of operational efficiency of management, the reliability of technical means, the survivability and globality of the control system and other characteristics. Consideration of the problem of optimizing the distribution of tasks included in the control loop by levels and control nodes of the system and determining a set of technical means that minimize the costs of equipping nodes with technical means and their operation when performing restrictions on efficiency, hardware reliability of performing control tasks, weight and energy consumption of on-board equipment, loading of nodes, etc.

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The scheme of combined application of optimization and simulation models for formation of an optimum structure of an automated control system of space systems

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/155/1/012042 ◽

2016 ◽

Vol 155 ◽

pp. 012042 ◽

Cited By ~ 1

Author(s):

A S Chernigovskiy ◽

R Yu Tsarev ◽

A Yu Nikiforov ◽

P V Zelenkov

Keyword(s):

Control System ◽

Simulation Models ◽

Space Systems ◽

Optimum Structure ◽

Automated Control ◽

Combined Application ◽

Automated Control System ◽

Optimization And Simulation

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INFORMATION–MEASUREMENT SYSTEM AND CONTROL SYSTEM OF THE BEARING UNIT WITH MAGNETOREOLOGICAL FLUID

Fundamental and Applied Problems of Engineering and Technology ◽

10.33979/2073-7408-2020-340-2-104-108 ◽

2020 ◽

Vol 2 ◽

pp. 104-108

Author(s):

M.E. BONDARENKO ◽

A.S. FETISOV ◽

S.G. POPOV ◽

V.O. TYURIN

Keyword(s):

Control System ◽

Measuring System ◽

Test Rig ◽

Information Measurement ◽

Bearing Unit ◽

Information Measurement System ◽

Information Measuring System ◽

Processing Information ◽

Bearing Assembly ◽

And Control

The paper presents a description of the design and principle of operation of the bearing unit with magnetorheological lubrication. A test rig for the study of the dynamic and tribological characteristics of the bearing unit is presented. The information–measuring system for collecting and processing information is described. The control system of the mechatronic bearing assembly is presented.

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Research on Control System of Large Capacity of Hollow Blow Molding Machine

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.713-715.885 ◽

2015 ◽

Vol 713-715 ◽

pp. 885-888

Author(s):

Jian Huang ◽

Wei Min Li ◽

Guang Liang Lu

Keyword(s):

Control System ◽

Wall Thickness ◽

Development Process ◽

Control Method ◽

Control Points ◽

Thickness Control ◽

Advantages And Disadvantages ◽

Development Analysis ◽

And Control

This paper elaborate the structure of parison wall thickness control system; choice hardware of the control system; study on the determination of the thickness control method and control points of parison wall; research on the formation of the parison wall thickness curve; summed up the development process of extruding plastic machine heating method on the basis of the plastic molding machinery development; analysis the various of heating methods; summed up the advantages and disadvantages of various heating methods; explore their advantages and disadvantages for providing reference.

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Intelligent Control System Architecture for Phosphorus Production from Apatite-Nepheline Ore Waste

Energies ◽

10.3390/en14206469 ◽

2021 ◽

Vol 14 (20) ◽

pp. 6469

Author(s):

Maksim Dli ◽

Andrey Puchkov ◽

Artem Vasiliev ◽

Elena Kirillova ◽

Yuri Selyavskiy ◽

...

Keyword(s):

Control System ◽

Intelligent Control ◽

System Architecture ◽

Simulation Models ◽

Information Support ◽

Software Environment ◽

Intelligent Control System ◽

Phosphorus Production ◽

And Control ◽

Control System Architecture

This paper proposes multilevel architecture for an intelligent control system for the complex chemical energy technological process of yellow phosphorus production from apatite-nepheline ore processing waste. The research revealed that, when controlling this process, one has to deal with large amounts of multiformat and polymodal information, and control goals differ at different levels not only in effectiveness criteria, but also in the structuredness of the level problems. On this basis, it is proposed that intelligent methods be used for the implementation of information processes and control goals at individual levels and the whole system. The artificial intelligence methods underlying the informational model of a control system offer solutions to problems of analyzing control processes at different hierarchy levels, namely the initial level of sensing devices, the levels of programmable logic controllers, dispatching of control and production processes, enterprise management and strategic planning. Besides, the intelligent control system architecture includes analytical and simulation models of processes occurring in the multistage procedure of ore waste processing by a plant consisting of a granulating machine, a conveyor-type multichambercalcining machine, and an ore thermal furnace. The architecture of information support for the control system comprises a knowledge-based inference block intended for implementing the self-refinement of neural network and simulation models. Fuzzy logic methods are proposed for constructing this block. The paper considers the deployment of control algorithms for a phosphorus production system using the Matlab software environment on the basis of a modern complex system development paradigm known as the model-oriented design concept.

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Production Planning Based on a Genetic Algorithm Controlled Simulation Model

Journal of Siberian Federal University Engineering & Technologies ◽

10.17516/1999-494x-0304 ◽

2021 ◽

pp. 233-243

Author(s):

Alexey N. Sochnev

Keyword(s):

Genetic Algorithm ◽

Simulation Model ◽

Optimization Procedure ◽

Simulation Models ◽

Simulation Software ◽

Simulation Approach ◽

Fitness Functions ◽

Optimization And Simulation ◽

Plant Simulation ◽

Positive Effect

The article proposes an approach to solving the task of operational calendar planning of production based on the application of the principles of the optimization and simulation approach. The production simulation model is implemented using the Tecnomatix Plant Simulation software. The optimization procedure is represented by a genetic algorithm. In the implementation of the genetic algorithm, a simulation model is used to evaluate fitness functions. An example of using the proposed approach for a typical production system is given and the positive effect of its application is confirmed. Features of use, positive and negative properties, as well as the possibility of replication to other types of simulation models are revealed

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Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽

10.32964/tj8.1.4 ◽

2009 ◽

Vol 8 (1) ◽

pp. 4-11

Author(s):

MOHAMED CHBEL ◽

LUC LAPERRIÈRE

Keyword(s):

Control System ◽

Nonlinear Behavior ◽

Simulation Software ◽

Pulp And Paper ◽

Pid Controllers ◽

Tuning Parameters ◽

Pid Tuning ◽

Fixed Set ◽

And Control ◽

Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

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