Adaptive Model Recovery Anti-Windup for Output-Feedback Plants

The control of real technical systems always involves consideration of maximal input amplitudes. Moreover, the properties of technical systems often change during their lifetime, due to e.g. aging or small defects. In order to satisfy high performance requirements for the whole duration of such systems, the use of adaptive control is beneficial. Since for many industrial control application, e.g. in automotive industry, only the output of systems is measurable, an output-feedback adaptive controller is necessary, which is able to deal with input saturation. A new adaptive method based on model recovery anti-windup (MRAW) for continuous time systems is presented in this work. It allows for performance considerations in the case of input saturation. Results of boundedness for the closed-loop system are shown and verified with a simulation example. The simulation example shows the benefits of the adaptive control scheme with anti-windup in comparison to a robust approach in the presence of parameter uncertainties. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.