A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements

Abstract

This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine. The proposed solution is simple and is based on the combination of classical identification methods and those available in the identification toolbox of MATLAB. The results obtained experimentally are significantly better and clearly show that the proposed approach is simple to implement and the DCM model is obtained quickly with a reasonable accuracy.

Application of a Novel Synergetic Control for Optimal Power Extraction of a Small-Scale Wind Generation System with Variable Loads and Wind Speeds

“…To assess the performance of the suggested MPPT technique under real-time conditions, an experimental setup was designed as seen in Figure 9. The system parameters are listed in Table 1 [38]. The setup consisted of a WT emulator, which can accurately reproduce the mechanical behavior of a real WT.…”

“…The setup consisted of a WT emulator, which can accurately reproduce the mechanical behavior of a real WT. A detailed description of this emulator is found in [38,39]. The controls and the MPPT were instigated on a dSPACE 1104 card and programmed using MATLAB/Simulink, as depicted in Figure 10, to validate the proposed control strategy.…”