scholarly journals Development of mobile aircraft control system model with additive technologies

2021 ◽  
Vol 2094 (4) ◽  
pp. 042072
Author(s):  
V V Butorin ◽  
V A Golubev ◽  
A O Zhukov ◽  
I N Kartsan
Keyword(s):  
Control System ◽  
Control Systems ◽  
Antenna System ◽  
Additive Technologies ◽  
System Model ◽  
Aircraft Control ◽  
Spacecraft Control ◽  
Parameter Evaluation ◽  
Complex Technical Systems ◽  
Control System Model

Abstract The article describes the parameter evaluation of mobile spacecraft control systems and identifies their main advantages in comparison with stationary assets. The model and the mobile spacecraft control system mock-up using additive technologies were developed with existing methods for prototyping complex technical systems. This model performs experimental operations of the prototype of the mobile control system, accompanies the spacecraft in the area of its radio visibility, simulates the implementation of technological cycles of spacecraft control, evaluates the parameters of the target equipment, analyzes the characteristics of the antenna system and the layout, conducts experiments and eliminates abnormal situations. It also optimizes the spacecraft testing based on the use of artificial intelligence techniques.

scholarly journals Use of Simulator Equipment for the Development and Testing of Vessel Control Systems

2020 ◽  
Vol 16 (2) ◽  
pp. 58-64
Author(s):  
Serhii Zinchenko ◽  
Vadym Mateichuk ◽  
Pavlo Nosov ◽  
Ihor Popovych ◽  
Oleksandr Solovey ◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Information Exchange ◽  
Computer Network ◽  
Functional Module ◽  
Control Process ◽  
Weather Conditions ◽  
System Model ◽  
Automatic Control Systems ◽  
Control System Model

Abstract One of the ways to reduce human influence on the control process is the development of automated and automatic control systems. Modern control systems are quite complex and require preliminary ground testing. The article considers the issues of creating Imitation Modelling Stand for such control system synthesis and testing. For this reason, a Control System Model was integrated into the local computer network of the navigation simulator NTPRO 5000. The authors of the paper developed and tested software for information exchange between the navigation simulator and the Control System Model. The authors also developed a functional module of collision avoidance with many targets for testing in a closed loop system with virtual training objects. The results showed that the developed Imitation Modelling Stand allowed developing and testing functional modules of the control systems. In comparison with the found analogues, it is easy to include in a closed simulation cycle various models of command devices, actuators, control objects, objects of training scene, weather conditions; it is universal both for solving problems of manual control and for developing and testing automatic and automated control systems; it is not highly specialised and is created at minimal costs.

Modeling and Simulation of Improved Vector Control System for PMSM

2014 ◽  
Vol 548-549 ◽  
pp. 819-823
Author(s):  
Xi Juan Wang ◽  
Tao Zhou ◽  
Jing Xiao Feng ◽  
Yu Peng Pei
Keyword(s):  
Control System ◽  
Control Theory ◽  
Modeling And Simulation ◽  
Vector Control ◽  
System Model ◽  
Excellent Performance ◽  
Matlab Simulink ◽  
Ac Motor ◽  
Control System Model ◽  
Vector Control System

In the AC control system, vector control theory is very popular as it makes the AC motor achieve the performance as perfect as DC motor [1]. In the paper, the vector control theory is briefly introduced, and then a vector control system model is builded in the matlab/simulink, and the SVPWM technique is adopted. The results show that the improved vector control sytem of PMSM has a excellent performance.

scholarly journals Analysis of the bioethanol production process control

2020 ◽  
Vol 154 ◽  
pp. 02009
Author(s):  
Stanisław Lis ◽  
Marcin Tomasik ◽  
Sławomir Kurpaska ◽  
Jarosław Knaga ◽  
Piotr Łyszczarz
Keyword(s):  
Control System ◽  
Production Process ◽  
Control Algorithm ◽  
Feedback Loop ◽  
General Concept ◽  
System Model ◽  
Bioethanol Production ◽  
Correct Operation ◽  
Object A ◽  
Control System Model

The article presents the analysis of the automatic control of the bioethanol production process intended for biofuel. It presents the formulated general concept of the system and the method of designing a closed control system based on the iterative prototyping procedure. The modeling and the simulation were carried out in the Matlab®-Simulink environment. The simulation model of the object was developed based on the experimentally registered characteristics. It has been adjusted, i.e. the compatibility of its behavior with the object it reproduces has been confirmed. Based on the tuned model of the object, a control system model was created, which was the basis for computer simulation which enabled the control algorithm parameters to be established. The final verification of the correct operation of the system was performed with the use of hardware simulation. It was based on entering a negative feedback loop of the virtual control system of the real object elements into the loop. The results of the simulation confirmed the correctness of the adopted design.

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