Fredy Edimer Hoyos Velasco

Adaptive Control for Buck Power Converter Using Fixed Point Inducting Control and Zero Average Dynamics Strategies

In this paper, the output voltage of a buck power converter is controlled by means of a quasi-sliding scheme. The Fixed Point Inducting Control (FPIC) technique is used for the control design, based on the Zero Average Dynamics (ZAD) strategy, including load estimation by means of the Least Mean Squares (LMS) method. The control scheme is tested in a Rapid Control Prototyping (RCP) system based on Digital Signal Processing (DSP) for dSPACE platform. The closed loop system shows adequate performance. The experimental and simulation results match. The main contribution of this paper is to introduce the load estimator by means of LMS, to make ZAD and FPIC control feasible in load variation conditions. In addition, comparison results for controlled buck converter with SMC, PID and ZAD–FPIC control techniques are shown.

Rapid Control Prototyping of a permanent magnet DC motor using non-linear sliding control ZAD and FPIC

This paper shows the behavior of the buck power converter - DC-motor coupled system. The controller is designed using Zero Average Dynamic (ZAD) and Fixed Point Inducting Control (FPIC) techniques. The variable to be controlled is the motor speed. The designs have been tested in a Rapid Control Prototyping (RCP) system based on Digital Signal Processing (DSP) for dSPACE platform. The results show that the speed motor has very good performance when it is controlled with these techniques. The robustness of the system is proven by varying a constant of the controller. Experimental and simulations results agree only when quantization effects are considered in simulations. After this consideration, numerical and experimental bifurcations diagrams agree in stable zone as well as in transition to chaos.

New model for a boost converter controlled with non-linear sliding control ZAD

In this paper a new mathematical model is presented for a Boost converter, where parasitic resistances are included. Then the converter is controlled using non-linear sliding ZAD. Numerical simulations in Matlab show the presence of bifurcations and chaotic behavior.