Design of a Robust Model Reference Adaptive Control System

2012 ◽  
Vol 236-237 ◽  
pp. 976-980
Author(s):  
Xiu Chun Zhao ◽  
Guo Kai Xu ◽  
Tao Zhang ◽  
Ping Su Ge

This paper addresses a robust adaptive control system based on Popov hyper-stability theory, which has strong robustness for the particular structure. Introducing the error between model and controlled object into adaptive controller, the system has accurate tracking capability and the convergence even in the presence of external disturbances and uncertainties. Simulations results are given to illustrate the effectiveness of the proposed robust adaptive control law in comparison with PID control.

Author(s):  
James P. Nelson ◽  
Mark J. Balas ◽  
Richard S. Erwin

Many systems must operate in the presence of delays both internal to the system and in its inputs and outputs. In this paper we present a robustness result for mildly nonlinear systems. We use this result to show that, for small unknown time varying input delays, a simple adaptive controller can produce output regulation to a neighborhood with radius dependent upon the size of an upper bound on the delay. This regulation occurs in the presence of persistent disturbances and the convergence is exponential. We conclude with an example to illustrate the behavior of this adaptive control law.


Sign in / Sign up

Export Citation Format

Share Document