scholarly journals A Design Method for Multivariable Discrete Model Reference Adaptive Control System

1979 ◽  
Vol 15 (3) ◽  
pp. 284-290
Author(s):  
Takashi SUZUKI ◽  
Takumi NAKAMURA
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Discrete Model ◽  
Design Method ◽  
Model Reference Adaptive Control ◽  
Adaptive Control System ◽  
Model Reference ◽  
Model Reference Adaptive

scholarly journals Discrete Model Reference Adaptive Control System for Automatic Profiling Machine

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Peng Song ◽  
Guo-kai Xu ◽  
Xiu-chun Zhao
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Discrete Model ◽  
Model Reference Adaptive Control ◽  
Adaptive Control System ◽  
Model Reference ◽  
Control Rules ◽  
Dynamic Performances ◽  
High Degree ◽  
Model Reference Adaptive

Automatic profiling machine is a movement system that has a high degree of parameter variation and high frequency of transient process, and it requires an accurate control in time. In this paper, the discrete model reference adaptive control system of automatic profiling machine is discussed. Firstly, the model of automatic profiling machine is presented according to the parameters of DC motor. Then the design of the discrete model reference adaptive control is proposed, and the control rules are proven. The results of simulation show that adaptive control system has favorable dynamic performances.

Adaptive Control System of Milling Machine

2012 ◽  
Vol 588-589 ◽  
pp. 1577-1580
Author(s):  
Peng Song ◽  
Guo Kai Xu ◽  
Chang Hong Liu
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Discrete Model ◽  
Model Reference Adaptive Control ◽  
Milling Machine ◽  
Adaptive Control System ◽  
Model Reference ◽  
Model Reference Adaptive

In this paper, the discrete model reference adaptive control (MRAC) system of milling machine is discussed. Firstly, the discrete Model of milling machine is presented. Based on it the design of the adaptive control is made, and the rule of discrete model reference adaptive control is proven. The results of simulation show that adaptive control has favorable performances.

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