Control and Research Based on Improved LADRC in Wind Power Inverter Systems
Round 1
Reviewer 1 Report
The paper proposes a grid-side inverter control method which based on improved LADRC and neural networks. It is verified that the controller has better control quality in stabilizing the DC-side voltage and resisting external disturbances compared with the conventional LADRC. The paper is of interest for both researchers studying LADRC theory and engineers developing wind power inverters controller.
However, there are still some descriptions that need to be improved. I think it should be reconsidered after major revision before accepted.
The following questions and comments should be answered and addressed by the authors:
1) ADRC and LADRC should be given their full names when they first appear.
2) Before introducing the mathematical model, the overall structure of permanent magnet synchronous motor wind power system should be given.
3) In Fig. 2, the DC side load is equivalent to the resistive load RL. Is it reasonable?
4) In the third part of the paper, the composite ANN-LADRC controller is designed. What is the value of the key parameters and the design is based on what?
5) In Fig. 7, the DC bus voltage overshoot of ANN-LADRC controller is larger than that of traditional LADRC. What is the reason and can it be improved?
6) In Fig. 8 and 9, the voltage dip depth is 50%, and in Fig. 10, the voltage rise is 30%. How are these voltage variations defined?
7) What is the difference between the voltage balanced dip in Fig. 8 and the voltage unbalanced dip in Fig. 9? How does the ANN-LADRC controller recognize and distinguish the difference?
8) What is the power dynamic process of the system when the voltage falls or rises in Fig. 8 to 10? The paper only compares the effect of ANN-LADRC and traditional LADRC on DC bus voltage control, which not only has a simple result, but also lacks quantitative analysis of control performance.
Author Response
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Author Response File: 
Author Response.docx
Reviewer 2 Report
The proposed work is, in my opinion, complete and solid. For a better understanding of the material, I would suggest the Authors address these MINOR points:
A. All the acronyms (i.e. LADRC) should be explained the FIRST TIME they are used in the text. The authors are invited to check all the acronyms and explain them.
B. Which is the impact of small non-linearities of the equation coefficients in (9)-(14) on the performance of the control strategy ? The Authors are invited to add a brief comment in the text.
C. Which is the training time of the ANN? Does it impact the real time implementation of the proposed methodology? The Authors are invited to add a brief comment in the text.
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
Review Comments
The paper can be probably accepted with some minor corrections that has to be clarified by the author before advancing the action for taking a positive decision.
1. The paper “Control and research based on improved LADRC in wind power inverter systems” present an interesting topic. The results of the paper are an interesting fact with well written and structured. However, the novelty of the research paper can be improved still more with comparison of recent intelligent techniques.
2. The authors are expected to clearly identify and demonstrate the novel contributions of their paper, which would justify publication in an archival journal.
3. Doubly fed induction generator is more predominant in all the aspects as compared with other WECS’s. Why Permanent magnet synchronous generator is considered give proper justification.
4. How the stability can be maintained in DC link give proper justification
5. Need proper explanation about ANN-LADRC controller model with all inputs, layers, threshold values etc.,
6. The transfer function of the controller is nowhere mentioned.
7. Show the dynamic response characteristics with all domain specifications and detail explanation needed with numerical values.
8. Comment on the power quality analysis of the wind energy conversion system during faulty conditions.
9. Can the research work can be extended with the intensity of algorithm using Artificial Intelligence that suspects the fact of the controller for various closed loop functions?
10. Strengthen the conclusion by including the percentage analysis of results in-terms of numerical outcomes.
Comments for author File: Comments.docx
Author Response
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Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
This revision only stays at the literal level, without in-depth discussion of the simulation results, and does not properly answer the comments made by reviewer last time.
Author Response
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Author Response File: 
Author Response.pdf
Round 3
Reviewer 1 Report
The authors revised the article well.
