DocumentCode
2669380
Title
A fuzzy logic based approach to compensating for the dynamic inverse error in the cruise missile TF/TA system
Author
Tianbao, Wu ; Hang, Yin ; Xianlin, Huang
Author_Institution
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., Harbin
fYear
2008
fDate
16-18 July 2008
Firstpage
420
Lastpage
424
Abstract
In our paper, a fuzzy logic based approach is proposed to compensate for the dynamic inverse error encountered in designing the direct dynamic inverse controller for the application of Missile Terrain Following and Terrain Avoidance. More specifically, state variables involved in the differential equations of certain type of missile are first decomposed into three groups: fast modes, slow modes and slower ones. Next, three direct inverse control systems are, respectively, designed for the three groups of state variables. Because the inverse error existing in the control loops synthesized for the fast and slow modes certainly have influence on the inverse error in the loop shaped for the slower modes, a fuzzy logic compensator finally is constructed to compensate for the inverse error in the loop for the slower modes. Numerical simulations show that the fuzzy logic compensator proposed in this article can significantly reduce the inversion error, and hence the whole terrain tracking system performs substantially well in tracking a given terrain in the presence of perturbation of parameters.
Keywords
control system synthesis; differential equations; fuzzy control; inverse problems; missile guidance; nonlinear control systems; control loop synthesis; cruise missile; differential equation; dynamic inverse controller; dynamic inverse error compensation; fuzzy logic; loop shaped; missile terrain avoidance; missile terrain following; nonlinear control; numerical simulation; state variables; Aerodynamics; Aerospace control; Aircraft; Computer errors; Control systems; Error correction; Fuzzy logic; Mathematical model; Missiles; Numerical simulation; Dynamic inverse; Flight control; Fuzzy control; Nonlinear control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605700
Filename
4605700
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