Phase synchronization in the system of supply voltage parameters correction by the adaptive filtration method

An adaptive phase-locked loop is considered, which makes it possible to improve the stability of synchronous active filters, to achieve compensation for high-quality harmonic components of the current consumed by autonomous objects. Therefore, the use of such an active filter will improve the power quality and the normal trouble-free operation of the equipment in general. A control system with an adaptive phase-locked loop often has the advantages of a reliable and efficient control system. It makes it possible to quickly respond to dynamic changes in the load, which is typical for the operation of functional equipment of autonomous objects. The control system becomes more flexible, reliable, efficient and provides an instantaneous value of the compensation current from the measured values of the load current curve. Calculations can be carried out in real time. LMS, NLMS, RLS algorithms are considered as adjusting the weighted adaptive phase-locked loop in the system for correcting the supply voltage parameters. Based on the simulation of algorithms carried out in the MATLAB environment, a comparative analysis of their effectiveness is made. It is shown that the NLMS algorithm has the highest suppression quality and minimum transient time. The NLMS algorithm works in real time and is recommended for use in the supply voltage correction system.

An approach of adaptive notch filtering design for electrocardiogram noise cancellation

An electrocardiogram (ECG) is a means of measuring and monitoring important signals from heart activity. One of the major biomedical signal issues such as ECG is the issue of separating the desired signal from noise or interference. Different kinds of digital filters are used to distinguish the signal components from the unwanted frequency range to the ECG signal. To address the question of noise to the ECG signal, in this paper the digital notch filter IIR 47 Hz is designed and simulated to demonstrate the elimination of 47 Hz noise to obtain an accurate ECG signal. The full architecture of the structure and coefficient of the IIR notch filter was carried out using the FDA Tool. Then the model is finished with the help of Simulink and the MATLAB script was to filter out the 47 Hz noise from the signal of ECG. For this purpose, the normalized least mean square (NLMS) algorithm was used. The results indicate that before being filtered and after being filtered it clearly shows the elimination of 47 Hz noise in the signal of the ECG. These results also show the accuracy of the design technique and provide an easy model to filter out noise in the ECG signal.