Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems
Abstract
:1. Introduction
2. Modeling and Control of the SMPMSG
3. Classical MRAS Observer for SMPMSGs
4. Proposed MRAS with Finite-Set Observer for SMPMSGs
Algorithm 1 MRAS-FS Observer for SMPMSGs |
|
Advantages and Disadvantages of the Proposed MRAS-FS Observer
- no gains to tune, i.e., the effort and time consumed in the tuning of the fixed gain PI regulator in the conventional MRAS observer are avoided in the proposed MRAS-FS observer;
- the dynamics of the presented MRAS-FS observer are better than the traditional dynamics due to the use of FCS-MPC principles in the design of the suggested MRAS-FS observer;
- the suggested algorithm is not complicated and can be used in other types of machines with only small modifications.
- based on Algorithm 1, 64 iterations were essential for estimating the optimal angle of the rotor position of the SMPMSG, in other words, the calculation burden of the suggested MRAS-FS observer is high. However, the current digital signal processors (DSPs) have a high calculation power, and accordingly, execution of such advanced observers can be easily realized.
5. Description of the Laboratory Setup
6. Experimental Results
6.1. Dynamic Performance
- In Figure 6, step changes in the reference value of the mechanical angular speed from to and then back to were applied to the RSM control system, respectively. The reference electro-magnetic torque is regulated to be fixed at by the control algorithm of the SMPMSG.
- In Figure 7, the rotor reference mechanical angular speed is controlled to be constant at by the RSM. Step changes in the reference electro-magnetic torque from to and then back to were applied to the SMPMSG control scheme, respectively.
6.2. Steady-State Performance
- the rotor reference mechanical angular speed is regulated to using the RSM, and the reference electro-magnetic torque is regulated to be constant at by the control algorithm of the SMPMSG.
6.3. Performance at Variations of the SMPMSG Parameters
- in Figure 9, the reference mechanical angular speed of the rotor is set to by the RSM control strategy, and the reference electro-magnetic torque is regulated to be constant at by the control algorithm of the SMPMSG. The stator resistance is changed below/above its nominal value in the real-time model (i.e., within the software model);
- in Figure 10, the reference mechanical angular speed of the rotor is set to by the RSM control strategy, and the reference electro-magnetic torque is regulated to be constant at by the control algorithm of the SMPMSG.The stator inductance is changed below/above its nominal value in the real-time model (i.e., within the software model).
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Nomenclature
, , , | Stator voltages | SMPMSG | Surface-mounted permanent-magnet synchronous generator |
, , , | Stator currents | VS-WGS | Variable-speed wind generation system |
, , , | Stator fluxes | MRAS-FS | Model reference adaptive system with finite-set |
Stator resistance | DMPC | Direct-model predictive control | |
Stator inductance | DGS | Distributed generation system | |
PM flux-linkage | RES | Renewable energy system | |
Rotor electrical speed | DFIG | Doubly-fed induction generator | |
Rotor electrical position | BTB | Back-to-back | |
Electro-magnetic torque | WECS | Wind energy conversion system | |
Mechanical torque | PI | Proportional-integral |
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Name | Symbol | Value |
---|---|---|
Nominal power | ||
Nominal line-line voltage of the SMPMSG stator | ||
Rated voltage of the DC-link | ||
Nominal mechanical angular speed of the rotor | ||
Resistance of the SMPMSG stator | ||
Inductance of the SMPMSG stator | ||
Permanent-magnet flux linkage | ||
Number of pole pairs | 3 |
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Abdelrahem, M.; Hackl, C.M.; Rodríguez, J.; Kennel, R. Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems. Energies 2020, 13, 4844. https://doi.org/10.3390/en13184844
Abdelrahem M, Hackl CM, Rodríguez J, Kennel R. Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems. Energies. 2020; 13(18):4844. https://doi.org/10.3390/en13184844
Chicago/Turabian StyleAbdelrahem, Mohamed, Christoph M. Hackl, José Rodríguez, and Ralph Kennel. 2020. "Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems" Energies 13, no. 18: 4844. https://doi.org/10.3390/en13184844
APA StyleAbdelrahem, M., Hackl, C. M., Rodríguez, J., & Kennel, R. (2020). Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems. Energies, 13(18), 4844. https://doi.org/10.3390/en13184844