FRACTIONAL ORDER CHAOTIC MODEL BASED ENHANCED EQUILIBRIUM OPTIMIZATION ALGORITHM FOR CONTROLLER DESIGN OF 3 DOF HOVER FLIGHT SYSTEM
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Amer Soc Mechanical Engineers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the K feedback gain vector parameters that are used for the control of three degree of freedom four rotor quadcopter system (3 DOF Hover) are optimized with the Enhanced Equilibrium Optimization Algorithm ((EO)-O-2). The (EO)-O-2 algorithm is proposed with using parameters obtained from fractional order chaotic oscillator models instead of random variables. The Basic EO algorithm is inspired by volume- mass balance. In EO algorithm, each particle is called a motion that searches a parameter vector space. However, random coefficients derived from uniform distribution are used in the parameters updating process or in the generation of the initial population. The (EO)-O-2 algorithm was proposed by using vectors obtained from fractional order chaotic oscillators instead of stochastic coefficients in the basic Equilibrium optimization algorithm. Genesio Tesi, Rossler, Lotka Volterra fractional-order chaotic oscillator models were used in the (EO)-O-2 algorithm to optimize K feedback gain vector of 3 DOF Hover. The order and initial conditions the fractional chaotic oscillator models were experimentally adjusted for the control of 3 DOF problem. Thus, suitable fractional-order chaotic models for the problem were obtained. The (EO)-O-2 algorithm results are compared with the Stochastic Multi Parameter Optimization (SMDO) and Discreet Stochastic Optimization (DSO) algorithms for the system's pitch, roll and yaw angles.
Açıklama
ASME International Design Engineering Technical Conferences / 41st Annual Computers and Information in Engineering Conference (IDETC-CIE) / 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA) -- AUG 17-19, 2021 -- ELECTR NETWORK
Anahtar Kelimeler
Fractional Calculus, Swarm intelligence optimization algorithm, Control
Kaynak
Proceedings of Asme 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Idetc-Cie2021, Vol 7
WoS Q Değeri
N/A
