Model-following control of time-varying and nonlinear avionics systems

2011 ◽  
pp. 96-114 ◽  
Author(s):  
S. Spurgeon ◽  
M. Yew ◽  
A. Zinober ◽  
R. Patton
Keyword(s):  
Time Varying ◽  
Model Following Control ◽  
Model Following

Application of an Adaptive Model Following Control Technique to a Hydraulic Servo System Subjected to Unknown Disturbances

1991 ◽  
Vol 113 (3) ◽  
pp. 479-486 ◽  
Author(s):  
J. S. Yun ◽  
H. S. Cho
Keyword(s):  
External Load ◽  
Position Control ◽  
Experimental Studies ◽  
Control Technique ◽  
Time Varying ◽  
Adaptive Model ◽  
Model Following Control ◽  
Model Following ◽  
Unknown Disturbances ◽  
Hydraulic Servo

This paper deals with a position control of hydraulic servo systems subjected to unknown and time-varying external load disturbances. Since hydraulically operated processes are often subjected to unknown disturbances, an adaptive model following control (AMFC) scheme was derived based upon the Liapunov’s Direct Methods which was employed by Monopoli (1981). As an adaptation criterion this method utilizes an ultimate boundary of the uncertain parameters associated with the plant dynamics and the unknown disturbances. The performance of the derived adaptive controller is evaluated through simulation and experimental studies. The results show that the proposed AMFC is fairly insensitive to unknown and time-varying external load disturbances, yielding much better response characteristics, compared with those of a conventional constant PI feedback controller.

Adaptive Robust Model-Following Control and Application to Robot Manipulators

1987 ◽  
Vol 109 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Y. H. Chen
Keyword(s):  
Dynamical System ◽  
Dynamical Systems ◽  
Robotic Manipulators ◽  
Time Varying ◽  
Feedback Controls ◽  
Adaptive Feedback ◽  
Model Following Control ◽  
Model Following ◽  
Uncertain Dynamical System ◽  
Robust Model

The model-following control problem for nonlinear uncertain dynamical systems is considered. Based only on the knowledge of functional properties relating to the bound of the time-varying uncertainty, a class of adaptive feedback controls is developed which, under some realistic assumptions, guarantees the error between the uncertain dynamical system and the model tends to be zero. Application to robotic manipulators is made.

scholarly journals Realization of DC-DC Buck Converter Based on Hybrid H2 Model Following Control

2021 ◽  
pp. 1-1
Author(s):  
J. S. Fang ◽  
Sheng-Hong Tsai ◽  
Jun-Juh Yan ◽  
P. L. Chen ◽  
Shu-Mei Guo
Keyword(s):  
Buck Converter ◽  
Model Following Control ◽  
Model Following

Multi-loop model-based control structure for robot manipulators

Robotica ◽  
2005 ◽  
Vol 23 (4) ◽  
pp. 491-499 ◽  
Author(s):  
Rafael Osypiuk ◽  
Bernd Finkemeyer ◽  
Friedrich M. Wahl
Keyword(s):  
Control Structure ◽  
Robot Manipulator ◽  
Loop Model ◽  
Loop Control ◽  
Model Based Control ◽  
Model Following Control ◽  
Model Following ◽  
Theoretical Assumptions ◽  
Quantitative Results ◽  
The Stability

Most nonlinear control concepts used in robotics are based on a more or less accurate inverse model of the robot. In contrast to this, the design and properties of a general $n$-loop control structure based on a divided forward model of the robot, the so-called multi-loop Model Following Control Structure ($n$-MFC), is presented in this paper. Its theoretical basics and its concept are explained. The stability and robustness of the proposed control structure is analyzed. The theoretical assumptions are verified in many experiments with a two-joint robot manipulator. Qualitative as well as quantitative results of the experiments are presented and discussed.

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