Intelligent estimation strategies applied to a flight surface actuator

Hill, Elyse; Lee, Andrew S.; Gadsden, S. Andrew; Al-Shabi, Mohammad

doi:10.1109/iris.2017.8250105

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Tabu search algorithm is another trajectory-based method that has been used in optimizing the optimal sizing of hybrid PV/energy storage systems [65][66][67][68][69]. Nature-inspired methods follow the laws of nature and have been used in predicting glass properties by using physicsand chemistry-informed machine learning models [30,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87]. One example of this type of application is the comparative analysis of the latest swarm-based optimization approaches [88][89][90] under partial shading conditions, which found that under heavier shading conditions, the grasshopper optimization algorithm (GOA) [71,74,[91][92][93][94][95] and salp swarm algorithm (SSA) [5,[96][97][98][99][100][101][102][103][104] outperformed other swarm-based maximum power point tracking (MPPT) algorithms …”

Section: Introductionmentioning

confidence: 99%

Design a wing flange lever mechanism using Giza pyramid algorithm

Al-Shabi

Abouelazm

Nassif

et al. 2023

Sensors and Systems for Space Applications XVI

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In this work, a well-known mechanism that is referred to as piston lever mechanism is design to control the wing's flange. The design targets the mechanism components and their location while maintaining the minimum oil level required to lift the flanges from 0 to 45 degrees. The design is considered a multi-objective optimization problem; in which we propose the Giza Pyramid Algorithm (GPA) to optimize. GPA is a newly developed metaheuristic technique of type ancientinspired that was developed in 2021. The GPA shall obtain the best design while satisfying four constrains. The algorithm will be tested in Monte Carlo simulation to show its effectiveness in terms of stability and robustness. The performance is then compared to the particle swarm optimization. The proposed method shows a superior result compared to the PSO.

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Section: Introductionmentioning

confidence: 99%

Design a wing flange lever mechanism using Giza pyramid algorithm

Al-Shabi

Abouelazm

Nassif

et al. 2023

Sensors and Systems for Space Applications XVI

View full text Add to dashboard Cite

show abstract

“…In another study, machine learning was used for fault diagnosis in mechanical systems, resulting in improved system reliability and reduced maintenance costs. Furthermore, AI has been used to optimize manufacturing processes, leading to improved product quality and reduced production time [20,24,28,31,[38][39][40][41][42][43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Design car side impact using machine learning

Al-Shabi

Obaideen

Nassif

et al. 2023

Unmanned Systems Technology XXV

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In this paper, the design of vehicle door weight is minimized using a newly developed machine learning algorithm that is referred to as Grey Wolf optimizer (GWO). GWO is a metaheuristic technique that show good and robust performance in solving optimization applications. It is a nature-inspired algorithm that is based on the hunting grey wolf while hunting and catching the prey. The algorithm is known to have simple, yet efficient, structure. On the other hand, the design of the car's door during an impact is known to be a multi-objective optimization problem that is based the European Enhanced Vehicle-Safety Committee. The algorithm needs to minimize the door weight will be satisfying several constrains. The design depends on 11 parameters including the B-pillar inner, B-pillar reinforcement, floor side inner, cross members, door beam, door beltline reinforcement, roof rail, materials of B-pillar inner floor side inner barrier height and hitting position. Monte Carlo simulation is used to test the method and its robustness and stability.

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FPGA-based unscented Kalman filter for target tracking

Al-Shabi

Bonny²

2022

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI

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Intelligent estimation strategies applied to a flight surface actuator

Cited by 3 publications

References 19 publications

Design a wing flange lever mechanism using Giza pyramid algorithm

Design a wing flange lever mechanism using Giza pyramid algorithm

Design car side impact using machine learning

FPGA-based unscented Kalman filter for target tracking

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