Review of control and energy management approaches in micro-grid systems

A Elmouatamid, R Ouladsine, M Bakhouya… - Energies, 2020 - mdpi.com
The demand for electricity is increased due to the development of the industry, the
electrification of transport, the rise of household demand, and the increase in demand for …

[HTML][HTML] A review on fractional order (FO) controllers' optimization for load frequency stabilization in power networks

A Latif, SMS Hussain, DC Das, TS Ustun, A Iqbal - Energy Reports, 2021 - Elsevier
Keeping generation and demand balance is a fundamental requirement in power networks.
It maintains frequency of the system within permissible limits. For microgrids, this balance is …

Performance analysis of buck converter with fractional PID controller using hybrid technique

S Sangeetha, BS Revathi, K Balamurugan… - Robotics and …, 2023 - Elsevier
In this paper, a hybrid technique is proposed for analyzing the performance of buck
converters with fractional-order proportional integral derivative (FOPID) controllers. The …

Optimal fractional PID controller for buck converter using cohort intelligent algorithm

P Warrier, P Shah - Applied System Innovation, 2021 - mdpi.com
The control of power converters is difficult due to their non-linear nature and, hence, the
quest for smart and efficient controllers is continuous and ongoing. Fractional-order …

[HTML][HTML] Adaptive constrained generalized predictive controller for the PMSM speed servo system to reduce the effect of different load torques

O Asvadi-Kermani, B Felegari, H Momeni - e-Prime-Advances in Electrical …, 2022 - Elsevier
Fractional-order models have been used in recent years to model the number of processes
and applications like boilers, supercapacitors, power electronic devices, permanent magnet …

[HTML][HTML] A Comparative performance evaluation of a complex-order PI controller for DC–DC converters

P Warrier, P Shah, R Sekhar - Results in Control and Optimization, 2024 - Elsevier
Switched-mode DC–DC converters are required to maintain constant output under
uncertainties and variations in input voltage and load. The controller's robustness is crucial …

Fractional order adaptive MRAC controller design for high-accuracy position control of an industrial robot arm

T Seghiri, S Ladaci, S Haddad - International Journal of …, 2023 - inderscienceonline.com
Most of conventional feedback controllers become inefficient in hard industrial environments
like in steel industry, because of uncertainties in the plant model, or process dynamics …

[PDF][PDF] MRAC adaptive control design for an F15 aircraft pitch angular motion using Dynamics Inversion and fractional-order filtering

AR Ynineb, S Ladaci - … Journal of Robotics and Control Systems, 2022 - researchgate.net
Controlling a military aircraft is a very challenging task for automation engineers because of
the complexity of the plant model: huge nonlinearities, multiple coupled outputs, very …

Adaptive cruise control system for an electric vehicle using a fractional order model reference adaptive strategy

H Balaska, S Ladaci, H Schulte, A Djouambi - IFAC-PapersOnLine, 2019 - Elsevier
With the depletion of fossil fuels, and the increased environment concerns, there is more and
more interest in Electric Vehicles (EVs) from automobile manufacturer and governments in …

[PDF][PDF] Fractional order tube model reference adaptive control for a class of fractional order linear systems

H Balaska, S Ladaci, A Djouambi… - … Journal of Applied …, 2020 - intapi.sciendo.com
We introduce a novel fractional order adaptive control design based on the tube model
reference adaptive control (TMRAC) scheme for a class of fractional order linear systems. By …