This work is devoted to the synthesis of a Permanent Magnet Synchronous Motor (PMSM) electric drive control system by the method of subordinate control systems. The mathematical model of PMSM is constructed in the d-q coordinate system rotating with the rotor. The structure and parameters of the current controllers and the rotation speed controller are determined. A model of the PMSM subordinate control system in the Matlab-Simulink environment has been developed. It is shown that the quality of the transient process of the current loops id, iq depends only on the value of the uncompensated time constant Tm. The effects of the Tm value on the operation of the rotation speed control system are highlighted. It is established that the optimal choice is the value Tm = 1, which ensures the performance of the PMSM electric drive control system, as well as an acceptable value of the inrush current.

Keywords: PMSM, electric drive, control system synthesis, method of subordinate control systems, current control, speed control, rotation speed control

This article illustrates specifically how to use least squares method (LSM) and sensitivity function to cope with parametric identification problems. The object of this task is BLDC motor. The example of BLDC can justify the application of LSM and sensitivity function method for estimating nonlinear dynamic objects’ parameters, and the application for motor controlling system in particular. The model in the article is conducted by Matlab. The output is a proof to convey that the method used in solving the problem is accurate, and proves the possibility of its application in scientific and engineering field.

Keywords: parametric identification, least squares method, sensitivity function, BLDC motor, electric drive