Design Optimization of Helicopter Rotor with Trailing-Edge Flaps Using Genetic Algorithm

  • Saijal Kizhakke KodakkattuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


Helicopters are useful in many peculiar applications such as search and rescue, law enforcement, medical transport, tourism and military use as it can take-off and land vertically. Also it can hover in the air. But the high vibration levels in the helicopters in comparison with the fixed-wing aircraft is a major concern. Trailing-edge flap approach is a successful technique in alleviating rotor hub vibration in the helicopter. But the actuation of trailing-edge flaps is the major challenge. Optimization studies are carried out to reduce rotor vibration along with flap control power with flap locations and torsional stiffness as design variables. Several optimization studies are carried out in the past employing response surface method, neural network and various other metamodelling techniques. The present work endeavours to achieve optimal locations of the flaps and rotor blade torsional stiffness using genetic algorithm (GA). Results show that optimization using genetic algorithm provides some very good design solution with lesser computational effort in comparison with previous works.


Helicopter rotor Optimization Genetic algorithm 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Government Engineering College KozhikodeKozhikodeIndia

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