Title :
Control-Oriented Fuzzy Multi-Model Identification of a Highly Nonlinear Missile
Author :
Hashemi, S. Vahid ; Mehrabian, Ali Reza ; Roshanian, Jafar
Author_Institution :
Dept. of Aerosp. Eng., Toosi Univ. of Technol., Tehran
Abstract :
A novel fuzzy identification algorithm is introduced that is based on fuzzy interpolation of locally linear models obtained from a nonlinear system. Fuzzy clustering is employed to automatically decompose operating envelope of a nonlinear system into optimal number of operating partitions by means of optimal number of rules in a Tagaki-Sugeno fuzzy set direct realistic extension to flight control is introduced and applied on a tail-controlled skid-to-turn missile. The fuzzy model is evaluated using simulations of the complete nonlinear model. Simulation studies are reported to demonstrate merits of fuzzy systems in handling the demanding nonlinear modeling task
Keywords :
fuzzy control; fuzzy set theory; fuzzy systems; missile control; nonlinear control systems; Tagaki-Sugeno fuzzy set direct realistic extension; control-oriented fuzzy multimodel identification; flight control; fuzzy clustering; fuzzy interpolation; fuzzy system; gain scheduling; linear parameter-varying system; nonlinear missile; nonlinear system; tail-controlled skid-to-turn missile; Aerospace control; Automatic control; Clustering algorithms; Fuzzy control; Fuzzy sets; Fuzzy systems; Interpolation; Missiles; Nonlinear systems; Partitioning algorithms; Fuzzy clustering; Fuzzy systems; Gain scheduling; Linear parameter-varying systems;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348440
