Active vibration control of smart composite plates using optimized self-tuning fuzzy logic controller with optimization of placement, sizing and orientation of PFRC actuators

Zorić, Nemanja D.; Tomović, Andrija; Obradović, Aleksandar; Radulović, Radoslav; Petrović, Goran R.

doi:10.1016/j.jsv.2019.05.035

Cited by 27 publications

(14 citation statements)

References 70 publications

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“…The idea of PSO is inspired by the social behavior of bird flocking or fish schooling. The PSO metaheuristic is applied also by Zorić et al (2019) for a self-tuning fuzzy logic controller of the piezo-fiber reinforced composite actuator. Ajithapriyadarsini et al (2019) used differential evolution (DE) to optimize the gain of a fuzzy logic-DE algorithm-based PID controller.…”

Section: The Optimization Of Fuzzy Inference Systemsmentioning

confidence: 99%

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

et al. 2021

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Section: The Optimization Of Fuzzy Inference Systemsmentioning

confidence: 99%

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

et al. 2021

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Section: The Optimization Of Fuzzy Inference Systemsmentioning

confidence: 99%

A Bee Colony Optimization (BCO) and Type-2 Fuzzy Approach to Measuring the Impact of Speed Perception on Motor Vehicle Crash Involvement

Čubranić-Dobrodolac

Švadlenka

Čičević

et al. 2021

Preprint

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This paper examines how a driver’s perception of various speed levels, as well as driver’s speed perception from different positions, affect the propensity for motor vehicle crashes (MVCs). Data collection is performed in twelve experiments. 178 young drivers assessed the speed level from four positions; three of them relate to the speed perception of other vehicles on the road, while the remaining one represents the assessment of own speed. At each position, three speed levels were assessed: 30, 50, and 70 km/h. To process data, seven Type-2 fuzzy inference systems (T2FISs) are designed and tested in a sense of compliance with the empirical data. As a result, a relationship between the various forms of speed perception and participation in MVCs can be quantified. To examine the initial conclusions, the optimization of each of these T2FISs is performed by implementing the bee colony optimization (BCO) metaheuristic. The BCO based algorithm proposed in this paper achieved an average improvement of 21.17% in the performance of the initial T2FIS structures. The final results indicate that the drivers whose speed perception of the vehicle they are looking at from the rear side, as well as of the own vehicle, is poor have an elevated risk toward participation in MVCs compared to other forms of speed perception. The best-found T2FIS structures can be used as a decision-making tool that quantifies the driver propensity for MVCs, which can be useful in various educational and recruitment procedures in the field of transportation and traffic safety.

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“…offer the greatest benefits at the lowest possible cost. This is also true for composite structures so much employed in aerospace [6][7][8][9] including wind energy sector [10], naval/shipbuilding and automotive industries as well as civil engineering [11]. Inspired by the huge numbers of possible design solutions, Dulcey et al [12,13] even developed a robust supporting platform for reliable decision making in the design of composite laminated structures that was also used for optimization studies.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

Trivković

Svorcan

Baltić

et al. 2021

Current Problems in Experimental and Computational Engineering

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Vertical-axis wind turbines, despite being somewhat uncommon and less efficient renewable energy converters, still offer many advantages to small consumers and possibilities for further improvement. Their rotor is usually made up of fiberglass composite blades that can be optimized both aerodynamically and/or structurally. Although the aerodynamics of vertical-axis wind turbine rotors is unsteady, complex and challenging to simulate, it is possible to make a sufficiently accurate estimation of variable aerodynamic loads acting on the blade and use them for its structural dimensioning. This research combines a multi-objective constrained optimization procedure by particle swarm and finite element method with experimental analyses with the purpose of defining the best blade, i.e. the blade of minimal mass, least tip deflection under the loading case corresponding to the aerodynamically most demanding operational regime, greatest difference between its natural frequencies and rated rotor angular frequency, lowest manufacturing cost and complexity, etc. Imposed constraints also include acceptable failure criteria along the blade. Design variables refer to ply lay-up scheme, i.e. lamina thicknesses and orientations. Final solution, chosen from the obtained Pareto set, was manufactured and experimentally validated. The consistency of strains, measured in several different cases of bending, and corresponding numerical values was mostly below 8%. The study demonstrates the applicability of the employed multi-objective optimization methodology in wind turbine blade design. It also proposes an affordable and structurally reliable composite lay-up scheme specifically designed for small-scale vertical-axis wind turbines.

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Active vibration control of smart composite plates using optimized self-tuning fuzzy logic controller with optimization of placement, sizing and orientation of PFRC actuators

Cited by 27 publications

References 70 publications

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

A bee colony optimization (BCO) and type-2 fuzzy approach to measuring the impact of speed perception on motor vehicle crash involvement

A Bee Colony Optimization (BCO) and Type-2 Fuzzy Approach to Measuring the Impact of Speed Perception on Motor Vehicle Crash Involvement

Multi-objective Optimization and Experimental Testing of a Laminated Vertical-Axis Wind Turbine Blade

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