Real Time Control Performance of a Model-Reference Adaptive Structural Control System
Recent publications have presented successful implementations of adaptive control techniques in various applications.The advantage of a model reference adaptive structural control(MRASC)algorithm is to adjust the control command signal while estimating the system parameters of the controlled structure in real time.An adaptive control application based on Lyapunov stability theory is presented in this paper.The Lyapunov equation used to define the adaptation law is designed based on a quadratic Lyapunov function candidate.This energy-like scalar function comprises tracking error states and error matrix of the adjustable feedback parameters.The adaptive feedback control force is calculated from both the measured states and the adjustable parameters estimated from adaptation law.The error states illustrate the trajectory tracking performance between reference model and controlled system.The global asymptotical stability is guaranteed by choosing a pair of positive-definite weighting matrices for the time-invariant linear system.A series of control performance investigation is performed in this study to determine appropriate combination of parameters embedded in these weighing matrices.
active control model-reference adaptive structural control nonlinear control Lyapunov theory
S. Y. Chu S. C. Lo
Department of Civil Engineering,National Cheng-Kung University,Tainan,Taiwan,China
国际会议
The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)
重庆·南京
英文
2007-05-01（万方平台首次上网日期，不代表论文的发表时间）