Search Results - (( control optimization system algorithm ) OR ( using optimisation system algorithm ))
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Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm
Published 2018“…In this research, swarming intelligence is used to solve optimisation problem. Grey Wolf Optimizer and Dragonfly Algorithm were chosen. …”
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Monograph -
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Optimisation of automatic generation control performance in two-area power system with pid controllers using mepso / Lu Li
Published 2018“…Also, using MEPSO-TVAC algorithm, the performance of AGC by using two PID controllers is better in terms of rise time and settling time than using one PID controller. …”
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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…In this study, a new proposed hybrid optimization algorithm, called Extended Bat Algorithm (EBA) is used for optimizing the PID controller for the wheel mobile robot. …”
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Book Chapter -
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Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation
Published 2016“…Therefore, to overcome this situation, in this work, particle swarm optimization (PSO) and evolutionary particle swarm optimization (EPSO) algorithms were employed in a LFC of twoarea power system to optimise the performance of the PID controller. …”
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Hybrid firely and particle swarm optimisation algorithm for optimal dimming level and energy saving in lecturer’s room
Published 2022“…In order to identify the optimal dimming level, energy consumption, simulation time and luminaire performance, this research work presents the comparison between light-emitting diode (LED) and fluorescent luminaires using the HFPSO algorithm and using the particle swarm optimisation (PSO) algorithm and the firefly algorithm (FA). …”
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Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment
Published 2021“…It is envisaged that this system and control algorithm can be very useful for the development of a mobile robot with extended functionality.…”
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…PSO based QFT control algorithm is proposed for pneumatic servo actuator system. …”
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A comparative evaluation of PID-based optimisation controller algorithms for DC motor
Published 2023“…Controllers; DC motors; Electric control equipment; Particle swarm optimization (PSO); Proportional control systems; Three term control systems; Two term control systems; Backtracking search algorithms; Comparative analysis; Comparative evaluations; Controller algorithm; Industrial activities; Optimum parameters; Particle swarm optimisation; Proportional integral derivative controllers; Electric machine control…”
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Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System
Published 2014“…Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization(PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. …”
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An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system
Published 2014“…When FACTS devices are utilised in a power system, they should be allocated optimally. From the optimisation perspective, optimal allocation of FACTS devices is a very complex optimisation problem. …”
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Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad...
Published 2019“…The study was divided into 3 phases, involving the implementation of CISOS to determine the optimal allocation of Static VAr Compensator (SVC), optimal allocation of Thyristor Controlled Series Compensator (TCSC), as well as simultaneous optimal allocation of SVC and TCSC in a power system. …”
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Position tracking of DC motor with PID controller utilising particle swarm optimisation algorithm with levy flight and doppler effect
Published 2025“…This paper presents the implementation of the PSO-LFDE (Particle Swarm Optimization with Lévy Flight Doppler Effect) algorithm for optimizing PID controller parameters in a DC motor system. …”
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Findings: The results indicate that the two genetic algorithms are able to converge to optimal solutions in reasonable time. …”
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Grey wolf optimization for enhanced performance in wind power system with dual-star induction generators
Published 2025“…This study investigates strategies for enhancing the performance of dual-star induction generators in wind power systems by optimizing the full control algorithm. …”
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Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm
Published 2019“…The fuzzy logic controller is used to stabilise this robot with Particle Swarm Optimization algorithm for optimum performance of the system. …”
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…In the study, a 15-bus test system is employed and modelled in detail using Power System Analysis Toolbox (PSAT). …”
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Firefly optimised PID control for upper extremity rehabilitation robot
Published 2020“…Zeigler-Nichols is a conventional technique for setting the PID parameters produces large overshoots, high rise-time and settling-time in the system. To address such issues nature-inspired Firefly optimization algorithm for the parameterizing 2-DOF-PID controller has been proposed. …”
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Proceeding Paper -
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Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail
Published 2024“…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
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