Identification and Control of Nonlinear Laboratory Model Amira DR 300
This article deals with identification and a control design of nonlinear laboratory model Amira DR 300 in a real time. It mentions a mathematical description of the model, its static and dynamical characteristics. Using an experimental method of identification a model has been created, which is suitable for the purpose of simulation testing of non-adaptive as well as adaptive controllers. These were tested as simple adaptive, i.e. non-adaptive controllers, namely in both simulation ways and at a real model control. For the purpose of a non-adaptive control, system parameters were determined by off-line method of the least squares. In an identification part of self-tuning controllers a method of recursive least squares with directional adaptive forgetting factor has been used.
P. Navrátil, "Identification and Control of Nonlinear Laboratory Model Amira DR 300", Applied Mechanics and Materials, Vol. 611, pp. 284-293, 2014