scholarly journals Multivariable Discrete Model Reference Adaptive Control Using an Autoregressive Model with Dead Time of the Plant and Its Application

1982 ◽  
Vol 18 (3) ◽  
pp. 238-245 ◽  
Author(s):  
Seizo FUJII ◽  
Naoki MIZUNO
2013 ◽  
Vol 367 ◽  
pp. 363-368
Author(s):  
R. Karthikeyan ◽  
C. Bhargav ◽  
Karthik Koneru ◽  
G. Syam ◽  
Shikha Tripathi

The main aim of a control system is to repress the instabilities caused by nonlinearities of the system. Dead time is considered to be one of the most significant nonlinearities of a system. Dead time compensators play a vital role in reducing the dead time effects on the processes only to a minute extent. This paper proposes a method to overcome this problem by using Enhanced Model Reference Adaptive Control (MRAC) incorporating Smith Predictor. MRAC belongs to class of adaptive servo system in which desired performance is expressed with the help of a reference model. Enhanced MRAC consists of a fuzzy logic controller which provides adaptation gain to MRAC without human interference. A dead time compensator incorporated in the enhanced MRAC solves the problem of instabilities caused by dead time to a greater extent.


2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Peng Song ◽  
Guo-kai Xu ◽  
Xiu-chun Zhao

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.


2012 ◽  
Vol 588-589 ◽  
pp. 1577-1580
Author(s):  
Peng Song ◽  
Guo Kai Xu ◽  
Chang Hong Liu

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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