Improving Set-Point-Following Performance of Industrial Controllers with a Fast Dynamic Inversion Algorithm

In this paper, we propose a new method for the improvement of set-point-following performances of industrial controllers. Basically, this new approach consists of substituting the standard step signal to be applied to the closed-loop system (in which the controller has been previously selected) with a command input function that is determined by means of a dynamic inversion procedure. This procedure is based on a fast algorithm, and it is therefore suitable for application in an industrial context, where the ease of implementation is of major concern. Simulation results show the effectiveness of the technique.