Energy optimization of a dynamic system controller

Abstract

The paper deals with the application of fuzzy logic in the method of designing the parameters of a continuous dynamic system controller that is energetically optimal and at the same time meets the desired dynamic control parameters. The suitable controller parameters are established on the basis of a fuzzy model of the system, generated through its identification from the measured inputs and outputs. The proposed method has been verified by simulations on an example of parameter design for a PI controller of a DC drive with non-linear load. In comparison with a standardly designed PI controller with constant parameters for the whole operational space of the DC drive it is possible to save approximately 24.39 % of electric power at each dynamic motion of the drive. © 2013 Springer-Verlag Berlin Heidelberg.