TY - GEN
T1 - Novel bioinspired stochastic tuning of a quadrotor PD controller
AU - Merheb, Abdel Razzak
AU - Noura, Hassan
PY - 2012
Y1 - 2012
N2 - Unmanned Aerial Vehicles (UAVs) have been attractive for years for many researchers and companies worldwide due to their commercial and military applications. The control of UAVs has been widely studied and implemented, but new techniques are yet to be explored in order to make tuning of controllers easier. In this paper, ecosystem equilibrium established in nature between different species is used to develop a novel bio-inspired stochastic search algorithm. The algorithm is then tested in offline tuning of the PD controller of a quadrotor UAV. MATLAB simulations emphasize the good performance of the proposed algorithm.
AB - Unmanned Aerial Vehicles (UAVs) have been attractive for years for many researchers and companies worldwide due to their commercial and military applications. The control of UAVs has been widely studied and implemented, but new techniques are yet to be explored in order to make tuning of controllers easier. In this paper, ecosystem equilibrium established in nature between different species is used to develop a novel bio-inspired stochastic search algorithm. The algorithm is then tested in offline tuning of the PD controller of a quadrotor UAV. MATLAB simulations emphasize the good performance of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84886702067&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886702067&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84886702067
SN - 9781922107633
T3 - 2012 2nd Australian Control Conference, AUCC 2012
SP - 227
EP - 232
BT - 2012 2nd Australian Control Conference, AUCC 2012
PB - IEEE Computer Society
T2 - 2nd Australian Control Conference, AUCC 2012
Y2 - 15 November 2012 through 16 November 2012
ER -