Introduction to Control System Simulation

2016 ◽  
pp. 65-84
Keyword(s):  
Control System ◽  
System Simulation

scholarly journals Over/Undervoltage and Undervoltage Shift of Hybrid Islanding Detection Method of Distributed Generation

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Manop Yingram ◽  
Suttichai Premrudeepreechacharn
Keyword(s):  
Control System ◽  
Distributed Generation ◽  
Hybrid Method ◽  
Detection Method ◽  
System Simulation ◽  
Detection Methods ◽  
Islanding Detection ◽  
Active Method ◽  
Passive Method ◽  
Simulation Results

The mainly used local islanding detection methods may be classified as active and passive methods. Passive methods do not perturb the system but they have larger nondetection zones, whereas active methods have smaller nondetection zones but they perturb the system. In this paper, a new hybrid method is proposed to solve this problem. An over/undervoltage (passive method) has been used to initiate an undervoltage shift (active method), which changes the undervoltage shift of inverter, when the passive method cannot have a clear discrimination between islanding and other events in the system. Simulation results on MATLAB/SIMULINK show that over/undervoltage and undervoltage shifts of hybrid islanding detection method are very effective because they can determine anti-islanding condition very fast.ΔP/P>38.41% could determine anti-islanding condition within 0.04 s;ΔP/P<-24.39% could determine anti-islanding condition within 0.04 s;-24.39%≤ΔP/P≤ 38.41% could determine anti-islanding condition within 0.08 s. This method perturbed the system, only in the case of-24.39% ≤ΔP/P ≤38.41% at which the control system of inverter injected a signal of undervoltage shift as necessary to check if the occurrence condition was an islanding condition or not.

Vehicle Speed Control System Simulation

2021 ◽  
Author(s):  
Markian Nakonechnyi ◽  
Oleksandr Viter ◽  
Orest Ivakhiv ◽  
Roman Velgan ◽  
Yuriy Hirniak ◽  
...  
Keyword(s):  
Control System ◽  
System Simulation ◽  
Speed Control ◽  
Vehicle Speed ◽  
Speed Control System

About One Approach to Robot Control System Simulation

2018 ◽  
pp. 159-169 ◽  
Author(s):  
Eugene Larkin ◽  
Alexey Bogomolov ◽  
Aleksandr Privalov ◽  
Maksim Antonov
Keyword(s):  
Control System ◽  
Robot Control ◽  
System Simulation ◽  
Robot Control System

scholarly journals Software and hardware solution for digital signal processing algorithms testing

2019 ◽  
Vol 124 ◽  
pp. 03006
Author(s):  
M. V. Talanov ◽  
V. M. Talanov
Keyword(s):  
Signal Processing ◽  
Control System ◽  
Digital Signal Processing ◽  
Control Systems ◽  
System Simulation ◽  
Digital Signal ◽  
Drive Control ◽  
Signal Processing Algorithms ◽  
Software And Hardware ◽  
Processing Algorithms

The article describes the microprocessor system for various digital signal processing algorithms testing. The development of electric drive control systems is carried out with the usage of modeling systems such as, MATLAB/Simulink. Modern digital control systems are based on specialized digital signal microcontrollers. The present market offers evaluation boards, for example STM32F4DISCOVERY, which enables to connect a microcontroller to a personal computer. It makes possible to use the microcontroller as a part of the mathematical model of the control system. However, the designing of the control system simulation model and the program for the microprocessor is carried out in different programming environments. Thus, the software and hardware solution for testing programs for the microprocessor, which is a part of the control system, is relevant. This article deals with the designing of the modeling method in which the prototype program for the microprocessor is debugged as a part of the electric drive control system simulation model.

The Application of MATLAB for Fuzzy Control System Simulation

2014 ◽  
Vol 494-495 ◽  
pp. 1306-1309 ◽  
Author(s):  
Xian Qiu Xu
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
System Simulation ◽  
Paper Briefly ◽  
C Language ◽  
Fuzzy Control System ◽  
Function Module

The design of fuzzy control system is one of the important problems of the application of fuzzy control system. And the system simulation is an important step in the design of and the necessary guarantee. This paper briefly introduces the MATLAB language, the fuzzy logic toolbox, and SILMULINK toolbox. Then the examples, this method overcome the traditional in c language simulation of complex and inconvenient shortcoming. It is easy to fuzzy control system simulation, direct and fast. Finally also introduced several methods of create SILMULINK user s function module.

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