Current Harmonic Suppression of BLDC Motor Utilizing Frequency Adaptive Repetitive Controller

Abstract

Compared to the proportional-integral strategy, the repetitive control strategy possesses high suppression ability for the alternating current (AC) harmonics of control signals. Thus, RC controllers are widely used in closed-loop control systems to suppress the periodic harmonics. In order to further improve the brushless DC (BLDC) motor operation performance, a frequency adaptive repetitive controller (FARC) is proposed, and then a novel current loop scheme that concatenation of proportional-integral controller (PIC) and FARC controller is established in this paper. Firstly, due to the real sampling number of the delay element in the BLDC, the motor control system may not be an integer, the designing process of the FARC parameters was studied, and an adaptive internal model controller and a novel decomposition rule for FARC were designed based on Lagrange interpolation theory. Secondly, the PIC parameters were analyzed through three-dimensional and two-dimensional images of the frequency characteristics. Furthermore, a composite controller that added a forward channel in the novel current loop was proposed, and the stability of the control system used the composite controller was analyzed through Lyapunov theory. It should be noted that the analysis of FARC mainly focused on the simplified structure and the parameter optimization, which is usually ignored in the previous studies. Finally, the BLDC motor control system model was established through Matlab/Simulink software, and the operation performances of the BLDC motor control system utilizing different current loop controllers were studied. The simulation results show that the proposed FARC can reduce current distortion and torque ripples, thus, the BLDC motor operation performances can be improved effectively.

Sensorless BLDC motor Sliding Mode Control for Disturbance Rejection on Hand Held Motor Drive

“…Finally, in Fig. (14), the different controllers' disturbance rejection performance is show side by side. As can be seen, the disturbance is rejected best using the SMC controller as expected, where both PI1 and PI2 both having a larger maximum drop in ω m variation, and takes longer time to recover to the original set-point.…”

“…While others consider a complex fuzzy PID controller strategy simulation by adding an artificial electrical field inside the motor [13]. Also some control simulation was tested on for BLDC using a frequency adaptive repetitive controller [14], where it automatically adapts PI controller parameter across different frequencies.…”