Quadrotor flight control parameters optimization based on chaotic estimation of distribution algorithm

Authors:
Pei Chu;Haibin Duan
Affiliations:
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R. China;Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R. China,Provincial Key Laboratory for Information Pr ...
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Year:
2013

Citing 2
Cited 0

A Survey of Optimization by Building and Using Probabilistic Models

Computational Optimization and Applications
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters

PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature

Quantified Score

Hi-index	0.00

Visualization

Abstract

Quadrotor is a type of rotor craft that consists of four rotors and two pairs of counter-rotating, fixed-pitch blades located at the four corners of the body. The flight control parameters optimization is one of the key issues for quadrotor. Estimation of distribution algorithm is a new kind of evolutionary algorithm developed rapidly recently. However, low convergence speed and local optimum of the EDA are the main disadvantages that limit its further application. To overcome the disadvantages of EDA, a chaotic estimation of distribution algorithm is proposed in this paper. It is a combination of chaos theory and principles of estimation of distribution algorithm. Series of experimental comparison results are presented to show the feasibility, effectiveness and robustness of our proposed method. The results show that the proposed chaotic EDA can effectively improve both the global searching ability and the speed of convergence.