A Novel Finite-Set Ultra-Local Model-Based Predictive Current Control for AC/DC Converters of Direct-Driven Wind Power Generation with Enhanced Steady-State Performance
Abstract
:1. Introduction
1.1. Research Background
1.2. Literature Review
1.3. Contribution and Outline
2. Descriptions of Mathematic Model and Traditional FS-ULMPCC Method
2.1. Mathematic Model
2.2. Principle and Implementation of Basic FS-ULMPCC Method
2.2.1. Prediction Model
2.2.2. Cost Function
2.2.3. Optimization Scheme
3. Proposed FS-ULMPCC Method
3.1. Reconstruction of Control Set
3.2. Current Prediction
3.3. Cost Function Evaluation and Optimal Option Selection
3.4. Duty Cycle Allocation
3.5. Summary of the Proposed FS-ULMPCC Method
- Step 1: Measure the information of the stator currents (ia, ib, and ic), machine speed (ωm), rotor electrical angle (θe), and DC-link voltage (Vdc).
- Step 2: Calculate the dq-axis currents (id and iq) using Park’s transformation.
- Step 3: Estimate the lumped disturbance (F) using the LESO seen in (9).
- Step 4: Obtain the q-axis current reference (iq*) using the outer voltage controller and set the d-axis current reference (id*) to 0.
- Step 5: Reconstruct the control set vprop according to (15) and (16).
- Step 6: Conduct the current predictions in (18)–(20), calculate the cost function values using (21), and select the optimal choice using (22).
- Step 7: Transform the duty cycles to PWM signals for the three-phase legs of the converter.
4. Experimental Verification
4.1. Experimental Test Rig
4.2. Steady-State Performance Comparison
4.3. Transient Performance Comparison
4.4. Computational Burden Evaluation
5. Conclusions
- (1)
- In terms of steady-state performance, the proposed FS-ULMPCC method is evidently superior to the traditional one. Not only can the current THD value be reduced from 4.89% to 2.61% but also the inverter operation with a constant switching frequency can also be realized.
- (2)
- In terms of transient performance, the proposed FS-ULMPCC method is considerable to a traditional one in response to both load change and voltage reference alternation cases. The obtained voltage curves are very smooth without any overshoots, and the transients last less than 80 ms.
- (3)
- In terms of computational burden, the proposed FS-ULMPCC method is more efficient than the traditional one, thanks to the fact that only three options are embraced in the reconstructed control set. The reduction in execution time is approximately 4.66 μs.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Sector | ux | uy |
---|---|---|
I | uA | uB |
II | uB | uC |
III | uC | uA |
Symbol | Quantity | Value |
---|---|---|
PN | Rated power | 2.2 kW |
nN | Rated speed | 800 rpm |
np | Pole pairs | 2 |
Rs | Stator resistance | 5.25 Ω |
Ld | d-axis inductance | 24 mH |
Lq | q-axis inductance | 36 mH |
ψf | PM flux | 0.8 Wb |
Symbol | Description | Value |
---|---|---|
Kp | Proportional coefficient of voltage regulator | 0.02 |
Ki | Integral coefficient of voltage regulator | 5 |
α | Coefficient matrix in prediction model (10) | [40 0; 0 30] |
ω0 | Coefficient involved in LESO (9) | 2000 |
Clock Cycles | Execution Time | |
---|---|---|
Traditional FS-ULMPCC method | 5384 | 35.89 μs |
Proposed FS-ULMPCC method | 4685 | 31.23 μs |
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Wang, Z.; Yin, Z.; Yu, F.; Long, Y.; Ni, S.; Gao, P. A Novel Finite-Set Ultra-Local Model-Based Predictive Current Control for AC/DC Converters of Direct-Driven Wind Power Generation with Enhanced Steady-State Performance. Electronics 2024, 13, 3302. https://doi.org/10.3390/electronics13163302
Wang Z, Yin Z, Yu F, Long Y, Ni S, Gao P. A Novel Finite-Set Ultra-Local Model-Based Predictive Current Control for AC/DC Converters of Direct-Driven Wind Power Generation with Enhanced Steady-State Performance. Electronics. 2024; 13(16):3302. https://doi.org/10.3390/electronics13163302
Chicago/Turabian StyleWang, Zhiguo, Zhilong Yin, Feng Yu, Yue Long, Shuo Ni, and Pan Gao. 2024. "A Novel Finite-Set Ultra-Local Model-Based Predictive Current Control for AC/DC Converters of Direct-Driven Wind Power Generation with Enhanced Steady-State Performance" Electronics 13, no. 16: 3302. https://doi.org/10.3390/electronics13163302