A ROBUST TERMINAL SLIDING COMPOSITE ADAPTIVE CONTROL SCHEME FOR RIGID ROBOTS

2000 ◽  
Vol 31 (7) ◽  
pp. 731-748
Author(s):  
Oscar Barambones, Vicor Etxebarria
Keyword(s):  
Adaptive Control ◽  
Control Scheme ◽  
Composite Adaptive Control ◽  
Adaptive Control Scheme

scholarly journals Composite adaptive control of a robotic joint for passive deployment applications

2002 ◽  
Vol 216 (3) ◽  
pp. 275-289
Author(s):  
A V C Reedman ◽  
K Bouazza-Marouf
Keyword(s):  
Adaptive Control ◽  
Control Strategies ◽  
Adaptive Controllers ◽  
Control Scheme ◽  
And Control ◽  
The Mathematical Model ◽  
Composite Adaptive Control ◽  
Single Worm ◽  
Adaptive Control Scheme ◽  
Computed Torque

A composite adaptive control scheme for the control of an actively constrained revolute joint with backlash cancellation is presented in this paper. The drive mechanism consists of two motor-driven worms coupled to a single worm wheel. The mathematical model and control strategies are reviewed. This is followed by the derivation of the composite adaptive controllers. Simulation and experimental results show that the composite adaptive control scheme gives an equivalent performance to a computed-torque algorithm without compromising the mechanism's ability to cancel backlash.

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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