Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms
This paper introduces a robust model predictive controller (MPC) to operate an automatic voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the AVR parameters. Frequency domain conditions are derived from the Hermite–Biehler theorem to maintain the stability of the...
Enregistré dans:
Auteurs principaux: | Mahmoud Elsisi, Minh-Quang Tran, Hany M. Hasanien, Rania A. Turky, Fahad Albalawi, Sherif S. M. Ghoneim |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/49aa2812a4d34b0c8a55a3e9f26ec35f |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
par: N. Anwar, et autres
Publié: (2021) -
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer
par: Martin Ćalasan, et autres
Publié: (2021) -
SYNTHES OF ROBUST ACTIVE SHIELDING SYSTEMS OF MAGNETIC FIELD GENERATED BY GROUP OF HIGH-VOLTAGE POWER LINES
par: I. B. Kuznetsov, et autres
Publié: (2018) -
Method to Evaluate the Resistance–Capacitance Voltage Divider and Uncertainty Analysis
par: Yi Luo, et autres
Publié: (2021) -
Robust model predictive kinematic tracking control with terminal region for wheeled robotic systems
par: Phuong Nam Dao, et autres
Publié: (2021)