Closed loop system identification

This thesis deals with testing of various modifications of the least-squares method, which reduces the bias in system parameter estimation. The first part of this thesis is focused on the theory and principles of every single method. The second part describes the implementation of identification methods in Matlab and Simulink. The third part is focused on the evaluation of used methods via statistical analysis. This part also contains an identification of electric parameters of the real PMSM motor model