Abstract
A continuous-control set model predictive control (C-MPC) for speed control of permanent magnet synchronous motor (PMSM) fed by a solar photovoltaic (PV) array driving water pump is implemented in this paper. The controller improves the dynamic performance and reduces the steady-state errors. The maximum power point operation of solar PV array is performed using perturb and observe maximum power tracking (MPPT) algorithm. The PMSM is operated by estimating the rotor angular position using back-emf based position sensing method. This eliminates the need of mechanical position sensor. The performance of C-MPC in PMSM drive-system under variable solar insolation, is obtained at starting, steady-state and during dynamics on MATLAB/Simulink platform. A laboratory prototype of the PMSM drive system is developed to validate the performance of the controller.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728106526 |
| DOIs | |
| State | Published - Jun 2019 |
| Externally published | Yes |
Publication series
| Name | Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Continuous Control Set Model Predictive Controller
- PMSM
- Solar Photovoltaic (PV) Array
- Voltage Source Inverter
- Water Pump
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Environmental Engineering
- Control and Optimization
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