Non-linear adaptive control for electromagnetic actuators

2015 ◽  
Vol 9 (2) ◽  
pp. 258-269 ◽  
Author(s):  
Mouhacine Benosman ◽  
Gökhan M. Atınç
Keyword(s):  
Adaptive Control ◽  
Electromagnetic Actuators ◽  
Non Linear ◽  
Linear Adaptive Control

Non-linear adaptive control of fermentation processes utilizing a priori modelling knowledge

1992 ◽  
Vol 2 (3) ◽  
pp. 129-138 ◽  
Author(s):  
Michael Ramseier ◽  
Pramod Agrawal ◽  
Duncan A. Mellichamp
Keyword(s):  
Adaptive Control ◽  
A Priori ◽  
Fermentation Processes ◽  
Non Linear ◽  
Linear Adaptive Control

Power system non-linear adaptive control

1991 ◽  
Vol 22 (3) ◽  
pp. 235-242 ◽  
Author(s):  
V. Veselý ◽  
D. Mudronc̆ík
Keyword(s):  
Adaptive Control ◽  
Power System ◽  
Non Linear ◽  
Linear Adaptive Control

Non-linear adaptive control of a heat exchanger

2001 ◽  
Vol 15 (8) ◽  
pp. 883-906 ◽  
Author(s):  
Alexander Fink ◽  
Oliver Nelles ◽  
Martin Fischer ◽  
Rolf Isermann
Keyword(s):  
Adaptive Control ◽  
Heat Exchanger ◽  
Non Linear ◽  
Linear Adaptive Control

Non-Linear Adaptive Control of Robots Including Motor Dynamics

1994 ◽  
Vol 208 (2) ◽  
pp. 89-99 ◽  
Author(s):  
S S Ge ◽  
I Postlethwaite
Keyword(s):  
Adaptive Control ◽  
Rigid Body ◽  
Dynamic Models ◽  
Controller Design ◽  
Control Methods ◽  
Third Order ◽  
Parameter Adaptation ◽  
Non Linear ◽  
Motor Dynamics ◽  
Linear Adaptive Control

This paper addresses the theoretical aspects of non-linear adaptive control of robots when motor dynamics is included. It is shown that the resulting third-order dynamic models can be transformed into an attractive form, under moderate assumptions, to which the most recent controller design methods are applicable. The third-order model retains important properties (properties 1, 2 and 3 in the paper) which are present in the second-order rigid-body models of robots. Control methods are proposed to tackle two main issues: parameter adaptation for unknown dynamic parameters and robustness in the sense of modelling errors. It is shown that the control methods for rigid-body robots can easily be extended for higher order systems that possess properties 1, 2 and 3.

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