Torque Ripple and Current Distortion Reduction with Multiple Vector Based Finite-Set Predictive Current Control for PMSM Drives
| Autor: | Iqbal Husain, Agoro Sodiq |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Identification (information)
Control theory Computer science Distortion Distortion reduction 020208 electrical & electronic engineering Control (management) Testbed 0202 electrical engineering electronic engineering information engineering 02 engineering and technology Torque ripple Current (fluid) Finite set |
| Zdroj: | 2020 IEEE Applied Power Electronics Conference and Exposition (APEC). |
| DOI: | 10.1109/apec39645.2020.9124428 |
| Popis: | This paper presents a method for implementing multiple voltage-vector based predictive current control (MV- FMPC) algorithm to reduce torque ripple and current distortion in a finite-set model predictive current (FMPC) controlled permanent magnet synchronous machine (PMSM) drive. It uses a hexagonal co-ordinate system to simplify the location and identification of the virtual vectors created after sub-dividing the control window into N sections, eliminating the need for complex look-up tables. By using deadbeat control approach, it ensures that the number of enumeration in the algorithm is always three thereby reducing the computational burden. The improvement of the proposed MVPC method over conventional FMPC is validated in simulations and in experiments on a dyno testbed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|