NDLI: Moving-Mass Trim Control System Design for Spinning Vehicles

Content Provider	IEEE Xplore Digital Library
Author	Songyan Wang Ming Yang Zicai Wang
Copyright Year	2006
Description	Author affiliation: Control & Simulation Center, Harbin Inst. of Technol. (Songyan Wang; Ming Yang; Zicai Wang)
Abstract	The ability of a moving-mass control system to control the attitudes of a spinning vehicle is investigated. For the self-learning and adaptive abilities of neural networks, the hybrid attitude control scheme is produced to improve the dynamic performances of the complicated nonlinear system. An analysis of the torque disturbances caused by the relative movements of the masses to the vehicle's body reveals that the total movements of the masses are inclined to be minimized to mitigate these coupling effects. And based on the optimal theory, the mass position algorithm, which determines the mass location to realize the offset of the center of mass of system, is designed. A nonlinear eight degree-of-freedom simulation of a spinning vehicle with two internal moving elements demonstrates the abilities of the hybrid attitude control scheme and the mass position algorithm to effectively control the attitudes of spinning vehicles
Starting Page	1034
Ending Page	1038
File Size	164787
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712502
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Spinning Attitude control System analysis and design Programmable control Adaptive control Neural networks Nonlinear dynamical systems Vehicle dynamics Nonlinear systems mass movement algorithm Moving mass control neural networks attitude control optimal theory
Content Type	Text
Resource Type	Article

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