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Multi-objective genetic algorithm for hover stabilization of an insect-like flapping wing
Khodabakhsh, H ; Sharif University of Technology | 2013
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- Type of Document: Article
- DOI: 10.4028/www.scientific.net/AMM.332.50
- Publisher: 2013
- Abstract:
- This paper describes latest results obtained on modeling, simulation and controller design of an insect-like Flapping Wing Micro Air Vehicle (FWMAV). Because of the highly nonlinear and time varying nature of insect flight and the inability to find an equilibrium point, linearization of the model without compromising the accuracy is not possible. Therefore, to address the problem of designing a controller capable of stabilizing and controlling the FWMAV around a hovering point, a metaheuristic optimization approach is proposed, based on the time averaging theorem. The results show that a controller, designed using the proposed method, is capable of stabilizing the FWMAV effectively around its hovering point
- Keywords:
- Flapping wing micro aerial vehicle ; Hovering flight ; Insect flight ; Modeling ; Controller designs ; Equilibrium point ; Flapping wing micro aerial vehicles ; Flapping wing micro air vehicle ; Hovering flights ; Meta-heuristic optimizations ; Multi-objective genetic algorithm ; Intelligent systems ; Manufacture ; Mechanical engineering ; Micro air vehicle (MAV) ; Models ; Neuromuscular rehabilitation ; Robotics ; Wings ; Optimization
- Source: Applied Mechanics and Materials ; Volume 332 , 2013 , Pages 50-55 ; 16609336 (ISSN) ; 9783037857335 (ISBN)
- URL: http://www.scientific.net/AMM.332.50