Title :
Developing integrated fuzzy guidance law for aerodynamic homing missiles by genetic algorithm
Author_Institution :
Aerosp. Eng. Dept., King Fahd Univ. of Pet.&Miner., Dhahran
Abstract :
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 able to generate a guidance law with a satisfactory performance.
Keywords :
control system synthesis; fuzzy control; genetic algorithms; missile guidance; time-varying systems; aerodynamic homing missiles; fuzzy logic controller; fuzzy-based switching system; genetic algorithm; genetic algorithms; integrated fuzzy guidance law; missile acceleration commands; Aerodynamics; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Missiles; Noise robustness; Robust control; Switching systems;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983057