My Account | Careers | Downloads | Blog

PROJECT TITLE :

Speed Control of the Surface-Mounted Permanent-Magnet Synchronous Motor Based on Takagi–Sugeno Fuzzy Models

ABSTRACT:

The speed management of the surface-mounted permanent-magnet synchronous motor (SPMSM) based mostly on Takagi-Sugeno (T-S) fuzzy models is meant and implemented during this paper. In motor drive speed management, proportional-integral controller is mostly applied. But, the tracking performance and load regulation capability should be compromised within the coming up with process of the controller. This study develops a speed controller primarily based on the T-S fuzzy model with smart tracking ability and load variation regulation. First, the dynamic model of an SPMSM is demonstrated and therefore the load torque variation is treated as disturbances. Accordingly, the speed control strategy is developed based mostly on the T-S fuzzy model. The defuzzification process and parallel distributed compensation are introduced. The power of disturbance suppression and therefore the Lyapunov stability of this method are established and analyzed. The controller gains are obtained via the linear matrix inequality toolbox. The speed management and every one essential procedures are realized by the microcontroller Renesas RX62T. The tracking performance and load regulation capability are verified by the experimental results.


Did you like this research project?

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

PROJECT TITLE : Speed and Position Aware Dynamic Routing for Emergency Message Dissemination in VANETs ABSTRACT: By exchanging pre-planned Emergency Messages (EMs) between moving vehicles, Vehicular Ad hoc Networks, also known
PROJECT TITLE : Millimeter-Wave Mobile Sensing and Environment Mapping Models, Algorithms and Validation ABSTRACT: One relevant research paradigm, particularly at mm-wave and sub-THz bands, is to integrate efficient connectivity,
PROJECT TITLE : Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs ABSTRACT: The ability to predict the speed of traffic is one of the fundamentals of advanced traffic management, and the gradual deployment
PROJECT TITLE : GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data ABSTRACT: The ability to accurately anticipate the flow of traffic is an essential component of intelligent traffic management systems.
PROJECT TITLE : A Multitask Learning Model for Traffic Flow and Speed Forecasting ABSTRACT: Accurate short-term traffic state forecasting is beneficial to Intelligent Transportation Systems (ITS) research and applications. This

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry