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Article
Peer-Review Record

Sliding Mode Control of Servo Feed System Based on Fuzzy Reaching Law

Appl. Sci. 2023, 13(10), 6086; https://doi.org/10.3390/app13106086
by Chong-Li Huang *, Tao Wang, Meng Li and Yang Yu
Reviewer 1:
Reviewer 2:
Reviewer 3:
Appl. Sci. 2023, 13(10), 6086; https://doi.org/10.3390/app13106086
Submission received: 29 March 2023 / Revised: 7 May 2023 / Accepted: 10 May 2023 / Published: 16 May 2023

Round 1

Reviewer 1 Report

The author has proposed sliding mode control of a servo feed system based on fuzzy reaching laws. The study is very interesting, and it will have applications in the fields of machining accuracy and machining efficiency. However, the manuscript needs to undergo the following revisions:

(1) References are not enough. There is a lot of published literature on the topic of "advanced control strategies for servo feedback systems." The author must cite at least 35 to 40 references. especially articles from recent literature.

(2) The introduction is poorly written. A well-structured introduction must include the following contents: the topic’s background, Establish your research problem, specify your objective(s), Map out your paper.

(3) The picture resolution is very poor. It is better to use more professional software to generate figures. Using vector-based images (.eps) can improve the images significantly.

(4) Conclusions resemble an abstract. Write a new conclusion, please. In the conclusion, you should restate your main points and explore the ramifications of your research or findings.

(5) In table 6, the author has considered only tracking error to compare the performance of different control techniques. But there are other factors, such as response time, rise time, and settling time, that must be considered when comparing the performance of different control strategies. The superiority of the proposed strategy cannot be claimed only on the basis of tracking error.

 

(6) The effectiveness of the proposed study is verified by simulations. There are no experimental results. How can the novelity and effectiveness be verified without experimental results?

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

An adaptive sliding mode control method based on the fuzzy exponential convergence law is proposed to solve the jitter problem caused by the sliding mode control of the servo-feed system and to improve the tracking performance of the system.

Comments:

Please compare your work with others.

Please compare the simulation, theory, and measurement in the same graph.

Please report the value of the parameters that you used in theory.

I suggest authors to do an English proofreading by a native speaker. It would improve the quality of the paper.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

An adaptive sliding mode control method based on the fuzzy exponential convergence law is proposed to solve the jitter problem caused by the sliding mode control of the servo-feed system and to improve the tracking performance of the system. However, the authors need to clarify whether the variables h and \varepsilon are scalars, vectors, or matrices, as this is not clear from the text.

Furthermore, the writing of the Lyapunov function for vectors needs to be reviewed, as there are errors in equations 10 and 11, and the same issue arises in equations 16 and 17.

Unfortunately, the contribution of the paper appears to be limited, as the techniques presented have already been suggested in numerous publications.

 The images provided in the paper have low resolution, which makes it difficult to discern the details. The authors should provide higher-quality images to ensure that readers can understand the results presented.

 Finally, the comparison of the proposed method with SMC and PID methods is not enough to demonstrate its effectiveness. The authors should further compare their approach with a more recent and advanced method to provide a more convincing argument for its superiority.

 Overall, the paper presents an interesting approach, but it needs further clarification and improvement before it can be considered a significant contribution to the field.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The author made all the suggested modifications. The paper can be accepted now.

Reviewer 3 Report

After reviewing the edits made by the author team and considering the feedback provided to the reviewer, no further questions were raised. The articles are now approved for publication in the journal.

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