Sensorless Predictive Control of SPMSM driven Light EV Drive using Modified Speed Adaptive Super Twisting Sliding Mode Observer with MAF-PLL

Also Available Domains AC Drives

Project Code :TEPGED133

Objective

The main objective of this paper is to improve the reliability and reduce the cost of an Electric Vehicle for achieving a smooth and successful wide speed range operations.

Abstract

In this project, a modified higher order sliding mode observer (SMO) based position sensorless predictive current control for wide range speed operation of an SPMSM driven light EV. For reducing chattering and singularity phenomenon in conventional SMO, a modified speed adaptive super twisting SMO (SASTSMO) with moving average filter phase locked loop (MAF-PLL) is deployed to accurately estimate the position and speed of SPMSM. Moreover, optimal switching pulses are provided to a voltage source inverter using time delay compensated finite control set - model predictive current controller, eliminating the need of PI controllers and modulators. Simulated performance of control scheme is presented in MATLAB Simulink using an SPMSM EV drive. It is observed that this method allows seamless Sensorless operation at 3.95% of rated speed.


Keywords: FCS-MPC, Permanent Magnet Synchronous Motor, PLL, Sensorless Control, Sliding Mode Observer

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Configuration:

Operating System :  Windows 7/8/10

Application Software :  Matlab/Simulink

Hardware Configuration:

RAM :  8 GB

Processor :  I3 / I5(Mostly prefer)

Learning Outcomes

  • Introduction to Matlab/Simulink
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • About tools & libraries
  • Application of Matlab/Simulink
  • About Matlab desktop
  • Features of Matlab/Simulink
  • Basics on Matlab/Simulink
  • Introduction to controllers.
  • Study of PWM techniques.
  • Project Development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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