PROJECT TITLE :

Parameter Optimization for a fuzzy logic control of a Permanent Magnet Brushless Motor - 2017

ABSTRACT:

This paper proposes a technique to optimize parameters in a very fuzzy logic control of a Permanent Magnet Brushless Motor. The proposed system uses a neural network optimization to determine all the static parameters of the fuzzy logic control strategy. Analysis of the vector control scheme and therefore the fuzzy controller are illustrated from the simulation with the MATLAB Atmosphere to match their performance. The main objective behind this optimization strategy is to boost the performance of the fuzzy logic management scheme. This approach has been experimentally evaluated on a 1.5 kW permanent magnet brushless motor drive.


Did you like this research project?

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

PROJECT TITLE : Black-Box for Blockchain Parameters Adjustment ABSTRACT: This paper presents a function known as a black box for evaluating the performance of blockchain technology. The Solana blockchain test network is run
PROJECT TITLE : Estimation, Control and Prediction of Voltage Level and Stability at Receiving Node ABSTRACT: Receiver voltage stability is addressed in this article. Voltage stability and level are intertwined concepts. Although
PROJECT TITLE :Optimal parameter style of fractional order management based INC-MPPT forPV systemABSTRACT:A comprehensive and straightforward methodology for optimal parameter style of Fractional Order management primarily based
PROJECT TITLE :Optimal Sequential Fusion Estimation With Stochastic Parameter Perturbations, Fading Measurements, and Correlated Noises - 2018ABSTRACT:This Project focuses on the linear optimal recursive sequential fusion filter
PROJECT TITLE :Optimal Sensor Collaboration for Parameter Tracking Using Energy Harvesting Sensors - 2018ABSTRACT:During this Project, we style an optimal sensor collaboration strategy among neighboring nodes whereas tracking