The application of asymptotic tracking and disturbance rejection in voltage source converter controller design

2014 ◽  
Author(s):  
Yiqiao Liang ◽  
Qiguo Han
Keyword(s):  
Disturbance Rejection ◽  
Controller Design ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Asymptotic Tracking

Controller Design of Voltage Source Converter Using Nyquist Array

2018 ◽  
Author(s):  
Hamed Pourgharibshahi ◽  
Majid Taheri Andani ◽  
Zahra Ramezani ◽  
Kamran Yousefpour ◽  
Tahere Pourseif ◽  
...  
Keyword(s):  
Controller Design ◽  
Voltage Source ◽  
Voltage Source Converter

Controller design for voltage-source converter using LQG/LTR

2018 ◽  
Author(s):  
Majid Taheri Andani ◽  
Hamed Pourgharibshahi ◽  
Zahra Ramezani ◽  
Hassan Zargarzadeh
Keyword(s):  
Controller Design ◽  
Voltage Source ◽  
Voltage Source Converter

Modeling and Control of the Voltage Source Converter

2013 ◽  
Vol 712-715 ◽  
pp. 1760-1766
Author(s):  
Gang Wang ◽  
Zhuo Xin Sun ◽  
Yu Zhu
Keyword(s):  
Steady State ◽  
Pid Control ◽  
Controller Design ◽  
Good Control ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Modeling And Control ◽  
State Controller ◽  
Control Principle ◽  
And Control

The elementary structure and operation principle of the VSC are introduced. Detailed analysis of the PWM control principle and the steady-state mathematical model. And a steady-state controller design scheme based on the PID control principle is also proposed. The simulation results show that the method have good control ability, quick response to breakdown and good stability.

Stability Enhancement of PV Powered Microgrid using Levenberg-Marquardt Algorithm Based Intelligent Controller Under Grid-connected Mode

2021 ◽  
Author(s):  
Anantha Krishnan Venkatesan ◽  
Senthil Kumar Natarajan
Keyword(s):  
Controller Design ◽  
Absolute Error ◽  
Test System ◽  
Operating Conditions ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Diesel Generator ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt ◽  
Artificial Neural Network Ann

An effective and robust controller is designed using Levenberg-Marquardt (LM) algorithm-based Artificial Neural Network (ANN) for the solar Photo-Voltaic (PV) based distributed generation units for stabilizing the grid-connected microgrid (MG) under load changes and irradiance variations. A test system comprising of two PV units and one diesel generator unit connected to the utility grid is modelled and considered for the controller design in MATLAB/Simulink environment. PV generated power is injected into the grid through voltage source converter (VSC) regulated by using the proposed ANN controller. Based on the grid voltage and available PV generation, the ANN controller regulates the inverter current by setting the reference voltage vector to synthesize gating pulses for the inverter. The robustness of the controller design is analysed and validated through time-domain simulations by subjecting it to extreme operating conditions. The controller performance is evaluated by Integral Square Error (ISE) and Integral Time Absolute Error (ITAE) for the test system. The results are compared with conventional PI and PID controllers to prove the superior performing ANN controller.

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