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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
A Novel Design of PI Current Controller for PMSG-based
Wind Turbine Considering Transient Performance
Specifications and Control Saturation
ABSTRACT:
This paper presents a novel design process of decoupled PI current controller for permanent
magnet synchronous generator (PMSG)-based wind turbines feeding a grid-tied inverter through
back-to-back converter. Specifically, the design methodology consists of combining disturbance
observer-based control (DOBC) with feedback linearization (FBL) technique to ensure nominal
transient performance recovery under model uncertainty. By simplifying the DOBC under the
feedback linearizing control, it is shown that the composite controller reduces to a decoupled PI
current controller plus an additional term that has the main role of recovering the nominal
transient performance of the feedback linearization, especially under step changes in the
reference. Additionally, an anti windup compensator arises naturally into the controller when
considering the control input saturation to design the DOBC. This permits to remove the effect
of the saturation blocks required to limit the control input. The proposed control scheme is
implemented and validated through experimentation conducted on 22-pole, 5 kW PMSG. The
results revealed that the proposed technique can successfully achieve nominal performance
recovery under model uncertainty as well as improved transient performances under control
saturation.
KEYWORDS:
1. Anti-windup scheme
2. Disturbance observer
3. Nominal performance recovery
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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4. Permanent magnet synchronous generator (PMSG)
5. PI controller
6. Renewable energy
7. Wind energy conversion system
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig. 1. Configuration of a direct-drive PMSG-based WECS connected
to the host grid.
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EXPECTED SIMULATION RESULTS:
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Fig. 2. System’s response under the composite controller consisting of the feedback controller (13) and the PI-DO
(34)–(37). The controller was tested experimentally using the block diagram of Fig. 3. Specifically, the PI-DO (34)–
(37) was evaluated with and without the consideration of the reference jump .
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Fig. 3. System’s response under the composite controller consisting of the feedback controller (13) and the DOBC
(25). The controller was tested experimentally using the block diagram depicted in Fig. 2.
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Fig. 4. System’s response under a conventional PI current controller [17].
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Fig. 5. Performance evaluation of the proposed PI-DO under model uncertainty.
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Fig. 6. Experimental results: Performance testing of the proposed PI current controller under MPPT algorithm, with
id (2 A/div), iq (4 A/div), ia (10 A/div), ws (5 [m/s]/div), iga (6 A/div), r (50 [rpm/min]/div), and time (400 ms/div)
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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0-9347143789/9949240245
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0-9347143789/9949240245
CONCLUSION:
This paper has presented a novel design of decoupled PI controller to enhance the transient
performance for the current control of PMSG-based wind turbine. The proposed controller
technique was established by combining a DOBC with feedback linearizing control law. It turns
out that the composite controller has a decoupled PI-like structure plus two additional parts. The
first part is basically an anti-windup compensator, while the second part uses the reference jump
information to cancels out the effect of the sudden step changes in the power demand on the
transient response. This modification of the decoupled PI controller permits to guarantee zero
steady-state error without sacrificing the nominal transient performance specified by the state
feedback controller. This salient feature cannot be achieved under the existing decoupled PI
controller, particularly when the model parameters are not accurate. Experimental tests have
been performed, and the results support the use of the reference jump information to improve the
transient performance under the decoupled PI controller. Therefore, the proposed approach
provides practitioners with an alternate method in designing a robust decoupled PI current
controller for PMSG-based wind energy conversion system.
REFERENCES:
[1] N. A. Orlando, M. Liserre, R. A. Mastromauro, and A. Dell’Aquila, “A survey of control
issues in PMSG-based small wind-turbine systems,” IEEE Trans. Ind. Inform., vol. 9, no. 3, pp.
1211–1221, Aug 2013.
[2] Y. Wang, J. Meng, X. Zhang, and L. Xu, “Control of PMSG-based wind turbines for system
inertial response and power oscillation damping,” IEEE Trans. on Sustainable Energy, vol. 6, no.
2, pp. 565–574, April 2015.
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
[3] S. Benelghali, M. E. H. Benbouzid, J. F. Charpentier, T. Ahmed-Ali, and I. Munteanu,
“Experimental validation of a marine current turbine simulator: Application to a permanent
magnet synchronous generator based system second-order sliding mode control,” IEEE Trans.
Ind. Electron, vol. 58, no. 1, pp. 118–126, Jan 2011.
[4] C. Wei, Z. Zhang, W. Qiao, and L. Qu, “An adaptive network-based reinforcement learning
method for MPPT control of PMSG wind energy conversion systems,” IEEE Trans. Power
Electron., vol. 31, no. 11, pp. 7837–7848, Nov 2016.
[5] H. M. Yassin, H. H. Hanafy, and M. M. Hallouda, “Enhancement low-voltage ride through
capability of permanent magnet synchronous generator-based wind turbines using interval type-2
fuzzy control,” IET Renew. Power Gen., vol. 10, no. 3, pp. 339–348, 2016.

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A Novel Design of PI Current Controller for PMSG-based Wind Turbine Considering Transient Performance Specifications and Control Saturation

  • 1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 A Novel Design of PI Current Controller for PMSG-based Wind Turbine Considering Transient Performance Specifications and Control Saturation ABSTRACT: This paper presents a novel design process of decoupled PI current controller for permanent magnet synchronous generator (PMSG)-based wind turbines feeding a grid-tied inverter through back-to-back converter. Specifically, the design methodology consists of combining disturbance observer-based control (DOBC) with feedback linearization (FBL) technique to ensure nominal transient performance recovery under model uncertainty. By simplifying the DOBC under the feedback linearizing control, it is shown that the composite controller reduces to a decoupled PI current controller plus an additional term that has the main role of recovering the nominal transient performance of the feedback linearization, especially under step changes in the reference. Additionally, an anti windup compensator arises naturally into the controller when considering the control input saturation to design the DOBC. This permits to remove the effect of the saturation blocks required to limit the control input. The proposed control scheme is implemented and validated through experimentation conducted on 22-pole, 5 kW PMSG. The results revealed that the proposed technique can successfully achieve nominal performance recovery under model uncertainty as well as improved transient performances under control saturation. KEYWORDS: 1. Anti-windup scheme 2. Disturbance observer 3. Nominal performance recovery
  • 2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 4. Permanent magnet synchronous generator (PMSG) 5. PI controller 6. Renewable energy 7. Wind energy conversion system SOFTWARE: MATLAB/SIMULINK BLOCK DIAGRAM: Fig. 1. Configuration of a direct-drive PMSG-based WECS connected to the host grid.
  • 3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 EXPECTED SIMULATION RESULTS:
  • 4. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 2. System’s response under the composite controller consisting of the feedback controller (13) and the PI-DO (34)–(37). The controller was tested experimentally using the block diagram of Fig. 3. Specifically, the PI-DO (34)– (37) was evaluated with and without the consideration of the reference jump .
  • 5. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 3. System’s response under the composite controller consisting of the feedback controller (13) and the DOBC (25). The controller was tested experimentally using the block diagram depicted in Fig. 2.
  • 6. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 4. System’s response under a conventional PI current controller [17].
  • 7. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 5. Performance evaluation of the proposed PI-DO under model uncertainty.
  • 8. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 6. Experimental results: Performance testing of the proposed PI current controller under MPPT algorithm, with id (2 A/div), iq (4 A/div), ia (10 A/div), ws (5 [m/s]/div), iga (6 A/div), r (50 [rpm/min]/div), and time (400 ms/div)
  • 9. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 CONCLUSION: This paper has presented a novel design of decoupled PI controller to enhance the transient performance for the current control of PMSG-based wind turbine. The proposed controller technique was established by combining a DOBC with feedback linearizing control law. It turns out that the composite controller has a decoupled PI-like structure plus two additional parts. The first part is basically an anti-windup compensator, while the second part uses the reference jump information to cancels out the effect of the sudden step changes in the power demand on the transient response. This modification of the decoupled PI controller permits to guarantee zero steady-state error without sacrificing the nominal transient performance specified by the state feedback controller. This salient feature cannot be achieved under the existing decoupled PI controller, particularly when the model parameters are not accurate. Experimental tests have been performed, and the results support the use of the reference jump information to improve the transient performance under the decoupled PI controller. Therefore, the proposed approach provides practitioners with an alternate method in designing a robust decoupled PI current controller for PMSG-based wind energy conversion system. REFERENCES: [1] N. A. Orlando, M. Liserre, R. A. Mastromauro, and A. Dell’Aquila, “A survey of control issues in PMSG-based small wind-turbine systems,” IEEE Trans. Ind. Inform., vol. 9, no. 3, pp. 1211–1221, Aug 2013. [2] Y. Wang, J. Meng, X. Zhang, and L. Xu, “Control of PMSG-based wind turbines for system inertial response and power oscillation damping,” IEEE Trans. on Sustainable Energy, vol. 6, no. 2, pp. 565–574, April 2015.
  • 10. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 [3] S. Benelghali, M. E. H. Benbouzid, J. F. Charpentier, T. Ahmed-Ali, and I. Munteanu, “Experimental validation of a marine current turbine simulator: Application to a permanent magnet synchronous generator based system second-order sliding mode control,” IEEE Trans. Ind. Electron, vol. 58, no. 1, pp. 118–126, Jan 2011. [4] C. Wei, Z. Zhang, W. Qiao, and L. Qu, “An adaptive network-based reinforcement learning method for MPPT control of PMSG wind energy conversion systems,” IEEE Trans. Power Electron., vol. 31, no. 11, pp. 7837–7848, Nov 2016. [5] H. M. Yassin, H. H. Hanafy, and M. M. Hallouda, “Enhancement low-voltage ride through capability of permanent magnet synchronous generator-based wind turbines using interval type-2 fuzzy control,” IET Renew. Power Gen., vol. 10, no. 3, pp. 339–348, 2016.