PROJECT TITLE :

Adaptive Neurofuzzy Inference System Least-Mean-Square-Based Control Algorithm for DSTATCOM

ABSTRACT:

This paper proposes the real-time implementation of a 3-phase distribution static compensator (DSTATCOM) using adaptive neurofuzzy inference system least-mean-sq. (ANFIS-LMS)-based management algorithm for compensation of current-connected power quality problems. This algorithm is verified for numerous functions of DSTATCOM, such as harmonics compensation, power factor correction, load balancing, and voltage regulation. The ANFIS-LMS-primarily based management algorithm is used for the extraction of fundamental active and reactive power elements from nonsinusoidal load currents to estimate reference offer currents. Real-time validation of the proposed control algorithm is performed on a developed laboratory prototype of a shunt compensator. The $64000-time performance of shunt compensator with ANFIS-LMS-based management algorithm is found satisfactory underneath steady-state and dynamic load conditions. The performance of the proposed control algorithm is also compared with mounted-step LMS and variable-step LMS (VSLMS) to demonstrate its improved performance.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks ABSTRACT: In order to pique the interest of prospective users in the emerging 5G-enabled vehicular networks, a wide
PROJECT TITLE : Deep Visual Odometry with Adaptive Memory ABSTRACT: A novel deep visual odometry (VO) method that takes into account global information by selecting memory and refining poses is presented here. The currently available
PROJECT TITLE : Data Dissemination in VANETs Using Clustering and Probabilistic Forwarding Based on Adaptive Jumping Multi-Objective Firefly Optimization ABSTRACT: The dissemination of data within a VANETs network calls for
PROJECT TITLE : Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation ABSTRACT: There have been a number of very successful studies that have focused on integrating ratings and reviews
PROJECT TITLE : Context-aware and Adaptive QoS Prediction for Mobile Edge Computing Services ABSTRACT: Mobile edge computing (MEC) has recently gained a significant amount of momentum due to the fact that it permits the utilization