DocumentCode :
799262
Title :
Missile guidance law design using adaptive cerebellar model articulation controller
Author :
Lin, Chih-Min ; Peng, Ya-Fu
Author_Institution :
Dept. of Electr. Eng., Yuan-Ze Univ., Chung-li, Taiwan
Volume :
16
Issue :
3
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
636
Lastpage :
644
Abstract :
An adaptive cerebellar model articulation controller (CMAC) is proposed for command to line-of-sight (CLOS) missile guidance law design. In this design, the three-dimensional (3-D) CLOS guidance problem is formulated as a tracking problem of a time-varying nonlinear system. The adaptive CMAC control system is comprised of a CMAC and a compensation controller. The CMAC control is used to imitate a feedback linearization control law and the compensation controller is utilized to compensate the difference between the feedback linearization control law and the CMAC control. The online adaptive law is derived based on the Lyapunov stability theorem to learn the weights of receptive-field basis functions in CMAC control. In addition, in order to relax the requirement of approximation error bound, an estimation law is derived to estimate the error bound. Then the adaptive CMAC control system is designed to achieve satisfactory tracking performance. Simulation results for different engagement scenarios illustrate the validity of the proposed adaptive CMAC-based guidance law.
Keywords :
Lyapunov methods; adaptive control; cerebellar model arithmetic computers; command and control systems; control system synthesis; feedback; linearisation techniques; missile guidance; neurocontrollers; nonlinear control systems; time-varying systems; Lyapunov stability; adaptive cerebellar model articulation control; approximation error bound; command to line of sight; feedback linearization control; missile guidance law design; time-varying nonlinear system; Adaptive control; Adaptive systems; Approximation error; Control systems; Linear feedback control systems; Lyapunov method; Missiles; Nonlinear systems; Programmable control; Time varying systems; Adaptive control; cerebellar model articulation controller (CMAC); command to line-of-sight (CLOS); missile guidance law; Algorithms; Animals; Biomimetics; Cerebellum; Computer Simulation; Feedback; Humans; Models, Neurological; Movement; Nerve Net; Neural Networks (Computer); Pattern Recognition, Automated; Signal Processing, Computer-Assisted; War;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2004.839358
Filename :
1427768
Link To Document :
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