Robust neuro-fuzzy sliding mode control with extended state observer for an electric drive system
| Autor: | Ahmed Azaiz, Ibrahim Farouk Bouguenna, Ahmed Larbaoui, Ahmed Tahour |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Electric motor
business.product_category Neuro-fuzzy Computer science 020209 energy Mechanical Engineering medicine.medical_treatment 02 engineering and technology Building and Construction Traction (orthopedics) Pollution Sliding mode control Industrial and Manufacturing Engineering General Energy 020401 chemical engineering Control theory Electric vehicle 0202 electrical engineering electronic engineering information engineering medicine Inverter State observer 0204 chemical engineering Electrical and Electronic Engineering business Civil and Structural Engineering |
| Zdroj: | Energy. 169:1054-1063 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2018.12.101 |
| Popis: | The choice of the control techniques has a positive impact on the traction chain particularly disturbance rejection ability and the energy management in the electric vehicle (electric motor, inverter, transmission, ect.). In this paper, a robust neuro-fuzzy-sliding mode control (RNFSMC) with extended state observer (ESO) technique is applied on the traction chain of the electric vehicle (Permanent magnet synchronous motor PMSM, Inverter, Transmission). However, most of the existing strategies of control that are applied on the traction chain lead to chattering phenomena, reducing the electric motor performance and disturbance rejection ability without forgetting the bad energy management on board the electric vehicle. To further enhance the performance of the traction chain, a hybrid control scheme is used to severally decrease the chattering phenomena in the PMSM electric motor and evolve the disturbance rejection ability which employs two types of controllers: Neuro-fuzzy sliding mode control on the direct current loop and ESO controller on both speed, and quadrature current loops taking into account the dynamic of the vehicle. Simulations by Matlab/Simulink are used to indicate the validity of the planed scheme on the closed-loop system. The simulation results show the effectiveness of the proposed control strategy with desired tracking accuracy. |
| Databáze: | OpenAIRE |
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