A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm

S Lalwani, S Singhal, R Kumar, N Gupta - Transactions on combinatorics, 2013 - toc.ui.ac.ir
Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

Meta-heuristic global optimization algorithms for aircraft engines modelling and controller design; A review, research challenges, and exploring the future

S Jafari, T Nikolaidis - Progress in aerospace sciences, 2019 - Elsevier
Utilizing meta-heuristic global optimization algorithms in gas turbine aero-engines modelling
and control problems is proposed over the past two decades as a methodological approach …

Self-enhancing model-based control for active transient protection and thrust response improvement of gas turbine aero-engines

Z Wei, S Zhang, S Jafari, T Nikolaidis - Energy, 2022 - Elsevier
A self-enhancing active transient protection (SeATP) control approach using model-based
strategies is proposed for gas turbine aero-engines, which aims at pro-actively handling …

[HTML][HTML] Advanced optimization of gas turbine aero-engine transient performance using linkage-learning genetic algorithm: Part II, optimization in flight mission and …

LIU Yinfeng, S Jafari, T Nikolaidis - Chinese Journal of Aeronautics, 2021 - Elsevier
Part Ⅰ has illustrated the procedures to apply the Linkage Learning Genetic Algorithm
(LLGA) in Gas Turbine Engine (GTE) controller gains tuning and generated the optimization …

Optimal construction of an open channel by considering different conditions and uncertainty: application of evolutionary methods

S Farzin, M Valikhan Anaraki - Engineering Optimization, 2021 - Taylor & Francis
In the present study, different evolutionary methods, namely the bat algorithm (BA), particle
swarm optimization (PSO) and their hybrid (HBP), are employed for the design of trapezoidal …

Robust stabilisation of rotary inverted pendulum using intelligently optimised nonlinear self-adaptive dual fractional-order PD controllers

O Saleem, K Mahmood-ul-Hasan - International Journal of Systems …, 2019 - Taylor & Francis
This article presents an intelligently optimised self-tuning fractional-order control scheme to
improve the attitude-stabilisation of an inverted pendulum. Primarily, the scheme employs …

Optimal output tracking of aircraft engine systems: A data-driven adaptive performance seeking control

T Sun, XM Sun, A Sun - … Transactions on Circuits and Systems II …, 2021 - ieeexplore.ieee.org
In this technical note, a data-driven adaptive performance seeking control (DAPSC)
technique is first developed for the optimal output tracking of an aircraft engine with …

Multi-objective optimization of IGV position in a heavy-duty gas turbine on part-load performance

A Mehrpanahi, GH Payganeh - Applied Thermal Engineering, 2017 - Elsevier
More than 60% of the power generated in Iran depends on the technical characteristics of
heavy-duty gas turbine power plants. The ability to make changes in the amount of …

[HTML][HTML] Direct thrust control for multivariable turbofan engine based on affine linear parameter-varying approach

ZHU Yiyang, J Huang, PAN Muxuan… - Chinese Journal of …, 2022 - Elsevier
A novel turbofan Direct Thrust Control (DTC) architecture based on Linear Parameter-
Varying (LPV) approach for a two-spool turbofan engine thrust control is proposed in this …

Active fault tolerant control with self-enrichment capability for gas turbine engines

E Mohammadi, M Montazeri-Gh - Aerospace Science and Technology, 2016 - Elsevier
In this paper, an Active Fault Tolerant Control (AFTC) system with self-enrichment capability
is proposed to deal with both the anticipated and unanticipated gas-path performance …