TY - GEN
T1 - Developing integrated fuzzy guidance law for aerodynamic homing missiles by genetic algorithm
AU - Omar, Hanafy M.
PY - 2009
Y1 - 2009
N2 - Fuzzy logic controller (FLC) is well-known of its robustness to parameter variations and ability to reject noise. But its design requires defining many parameters. In this work a systematic and simple procedure is proposed to develop an integrated fuzzy based guidance law which consists of three FLC. Each one of them is activated in a region of the interception. To allow smooth transition between these controllers, another fuzzy-based switching system is introduced. The parameters of all the fuzzy controllers which include the distribution of the membership functions and the rules are simply obtained by observing the function of each controller. Furthermore, these parameters are optimally tuned by the method of genetic algorithms through solving an optimization problem to minimize the interception time, the missile acceleration commands and the miss distance. The simulation results show that the proposed procedure was ableto generate a guidance law with a satisfactory performance.
AB - Fuzzy logic controller (FLC) is well-known of its robustness to parameter variations and ability to reject noise. But its design requires defining many parameters. In this work a systematic and simple procedure is proposed to develop an integrated fuzzy based guidance law which consists of three FLC. Each one of them is activated in a region of the interception. To allow smooth transition between these controllers, another fuzzy-based switching system is introduced. The parameters of all the fuzzy controllers which include the distribution of the membership functions and the rules are simply obtained by observing the function of each controller. Furthermore, these parameters are optimally tuned by the method of genetic algorithms through solving an optimization problem to minimize the interception time, the missile acceleration commands and the miss distance. The simulation results show that the proposed procedure was ableto generate a guidance law with a satisfactory performance.
UR - http://www.scopus.com/inward/record.url?scp=70449884196&partnerID=8YFLogxK
U2 - 10.1109/CEC.2009.4983057
DO - 10.1109/CEC.2009.4983057
M3 - Conference contribution
AN - SCOPUS:70449884196
SN - 9781424429592
T3 - 2009 IEEE Congress on Evolutionary Computation, CEC 2009
SP - 1019
EP - 1024
BT - 2009 IEEE Congress on Evolutionary Computation, CEC 2009
ER -