An adaptive control scheme using multiple reference models

2013 ◽  
Vol 28 (11) ◽  
pp. 1290-1298 ◽  
Author(s):  
Chang Tan ◽  
Gang Tao ◽  
Ruiyun Qi
Keyword(s):  
Adaptive Control ◽  
Reference Models ◽  
Control Scheme ◽  
Multiple Reference ◽  
Adaptive Control Scheme

Comments on 'An adaptive control scheme for robot manipulators'

1989 ◽  
Vol 49 (5) ◽  
pp. 1805-1809
Author(s):  
Yong-Duan Song ◽  
Wei-Bing Gao
Keyword(s):  
Adaptive Control ◽  
Robot Manipulators ◽  
Control Scheme ◽  
Adaptive Control Scheme

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

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