TLBO Tuned a Novel Robust Fuzzy Control Structure for LFC of a Hybrid Power System with Photovoltaic Source

Shouran, Mokhtar; Anayi, Fatih

doi:10.3390/ecp2022-12684

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…A student's outcomes relate to the optimisation problem's "fitness" value. The teacher is specified as the optimal solution for the entire group [24]. Design variables include variables which relate to the optimisation problem's objective function, with the optimal solution being the optimal objective function value [1].…”

Section: The Proposed Algorithmmentioning

confidence: 99%

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Enhanced the Control Strategy of a Triple Link Robotic System (Robogymnast)

2023

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This research aims to optimise performance in a Fuzzy Linear Quadratic Regulator controller by implementing 2 types of algorithm to stabilise the triple-link 'Robogymnast' robotic system. The Robogymnast recreates the movements of a human gymnast, with the hand/arm element of the system securely attached to a high bar with ball0bearing mountings, which can rotate freely. This article explores the complex factors involved in swing-up control in the underactuated Robogymnast and presents a linearisation of the mathematical modelling for the system, considering methods which apply Lagrangian equations in defining state space in such systems. Both the Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithm were used for tuning the hybrid Fuzzy Linear Quadratic Regulator controller for later application with the robot and assessment of response stability. In addition, MATLAB Simulink was used to simulate performance and show the effect of altering parameters including time for rising, settling and overshoot. This work aims primarily to explore how a Linear Quadratic Regulator/Fuzzy Logic controller can be applied with acrobatic robots.

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Section: The Proposed Algorithmmentioning

confidence: 99%

“…Figure 6 provides a flow diagram showing the TLBO algorithm. Findings can be subdivided under sub-headings, to summarise and accurately describe the findings of experiments, how these findings are interpreted and the possible conclusions from this work drawn [24][25].…”

Section: The Proposed Algorithmmentioning

confidence: 99%