A discrete-ttme model-reference adapttve control scheme, apphed to a simulation of an unknown time-varymg plant, achieves good performance when the parameters of the algorithm are appropriately selected Key Words--Adapt,ve systems, &screte t~me systems, model reference adaptwe control, parameter est
Application of linear adaptive control to some advanced benchmark examples
โ Scribed by C. D. Johnson
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 623 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0890-6327
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โฆ Synopsis
Linear adaptive control'-' is a new approach to adaptive controller design that uses a novel exogenous linear dynamical model of parameter perturbation 'effects' and an ordinary linear observer t o generate the required adaptive control signal u ( t ) . By this means, the need for a non-linear parameter estimator, as traditionally used in adaptive control, is eliminated and the resulting adaptive controller is completely linear and time-invariant (all controller 'gains' are constant).
The performance capabilities of linear adaptive controllers have been demonstrated in References 4 and 6-8 using relatively simple examples. In this paper the linear adaptive control technique is applied t o several examples having complex forms of plant uncertainty. Computer simulation studies are presented to demonstrate the quality of adaptive performance achieved.
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