Actions for Application of Sequential Quadratic Programming to Minimize Smart Active Flap Rotor Hub Loads

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Application of Sequential Quadratic Programming to Minimize Smart Active Flap Rotor Hub Loads

Author
Kottapalli, Sesi
Published
January 22, 2014.
Physical Description
1 electronic document
Additional Creators
Leyland, Jane
Online Version

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Unclassified, Unlimited, Publicly available.
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Summary
In an analytical study, SMART active flap rotor hub loads have been minimized using nonlinear programming constrained optimization methodology. The recently developed NLPQLP system (Schittkowski, 2010) that employs Sequential Quadratic Programming (SQP) as its core algorithm was embedded into a driver code (NLP10x10) specifically designed to minimize active flap rotor hub loads (Leyland, 2014). Three types of practical constraints on the flap deflections have been considered. To validate the current application, two other optimization methods have been used: i) the standard, linear unconstrained method, and ii) the nonlinear Generalized Reduced Gradient (GRG) method with constraints. The new software code NLP10x10 has been systematically checked out. It has been verified that NLP10x10 is functioning as desired. The following are briefly covered in this paper: relevant optimization theory; implementation of the capability of minimizing a metric of all, or a subset, of the hub loads as well as the capability of using all, or a subset, of the flap harmonics; and finally, solutions for the SMART rotor. The eventual goal is to implement NLP10x10 in a real-time wind tunnel environment.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 20140008649.
ARC-E-DAA-TN12525.
Decennial AHS Aeromechanics Specialists' Conference; 22-24 Jan. 2014; San Francisco, CA; United States.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 15427656