Efficient DC motor speed control using a novel multi-stage FOPD (1+ PI) controller optimized by the Pelican optimization algorithm
This paper introduces a novel multi-stage FOPD (1+ PI) controller for DC motor speed
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
A novel artificial intelligence based multistage controller for load frequency control in power systems
The imbalance between generated power and load demand often causes unwanted
fluctuations in the frequency and tie-line power changes within a power system. To address …
fluctuations in the frequency and tie-line power changes within a power system. To address …
A New Hybrid Intelligent Fractional Order Proportional Double Derivative+ Integral (FOPDD+ I) Controller with ANFIS Simulated on Automatic Voltage Regulator …
In the dynamic realm of Automatic Voltage Regulation (AVR), the pursuit of robust transient
response, adaptability, and stability drives researchers to explore novel avenues. This study …
response, adaptability, and stability drives researchers to explore novel avenues. This study …
[HTML][HTML] Efficient voltage regulation: An RW-ARO optimized cascaded controller approach
This work introduces novel advancements in automatic voltage regulator (AVR) control,
addressing key challenges and delivering innovative contributions. The primary motivation …
addressing key challenges and delivering innovative contributions. The primary motivation …
[HTML][HTML] Red-Billed Blue Magpie Optimizer for Electrical Characterization of Fuel Cells with Prioritizing Estimated Parameters
The red-billed blue magpie optimizer (RBMO) is employed in this research study to address
parameter extraction in polymer exchange membrane fuel cells (PEMFCs), along with three …
parameter extraction in polymer exchange membrane fuel cells (PEMFCs), along with three …
Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique
S Adiche, M Larbi, D Toumi, R Bouddou, M Bajaj… - Scientific Reports, 2024 - nature.com
In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an
artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined …
artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined …
An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM+ GA-PID controller with augmented lagrangian methods
This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area
hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network …
hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network …
Novel application of sinh cosh optimizer for robust controller design in hybrid photovoltaic-thermal power systems
Load frequency control (LFC) is critical for maintaining stability in interconnected power
systems, addressing frequency deviations and tie-line power fluctuations due to system …
systems, addressing frequency deviations and tie-line power fluctuations due to system …
A novel TID+ IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
Implementing a suitable load frequency controller to maintain the power balance equation
for a multi-area system with many power generating units poses a challenge to a power …
for a multi-area system with many power generating units poses a challenge to a power …
A gazelle optimization expedition for key term separated fractional nonlinear systems with application to electrically stimulated muscle modeling
Various real-time processes are effectively represented with a fractional nonlinear
autoregressive exogenous (F-NARX) model where estimation of model parameters is …
autoregressive exogenous (F-NARX) model where estimation of model parameters is …