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Peer-Review Record

Electric Motor Control for Online Tuning Based on Positive Flow System for Electric Construction Machinery

Appl. Sci. 2022, 12(19), 10072; https://doi.org/10.3390/app121910072
by Zhongshen Li 1,2, Tianliang Lin 1,2,*, Yi Zhao 1,2, Qihuai Chen 1,2, Shengjie Fu 1,2, Haoling Ren 1,2 and Wen Gong 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Appl. Sci. 2022, 12(19), 10072; https://doi.org/10.3390/app121910072
Submission received: 15 September 2022 / Revised: 30 September 2022 / Accepted: 4 October 2022 / Published: 7 October 2022

Round 1

Reviewer 1 Report

The paper is well written. 

I have the next observations: 

Figure 4 must be improved because the transfer functions from the blocks are not clear.

Figures 10, 11, 13, 14, 15, and 20 should be improved because are blurred.

Tables with the results obtained in numerical simulations and in experiments in order to express more clearly the using of the two speed control methods (the overshooting, time to steady state, steady state error).

Author Response

Thanks for your comments and suggestions. The manuscript has been modified according to your suggestions.

Author Response File: Author Response.doc

Reviewer 2 Report

The authors propose a new control strategy to control electric construction machinery. The paper is well written and organized. The proposed control works well and indicates very high accuracy, even compared to other existing methods. The experiment verification is also carried out. Overall, I think this paper can be accepted for publication. 

Author Response

Many thanks for your kind comments.

Author Response File: Author Response.doc

Reviewer 3 Report

The paper titled "Electric motor control for Online Tuning Based on Positive Flow System for Electric Construction Machinery" presents experimental works for positive flow systems by considering different closed-loop strategies. Comments are below:

1) In general, the paper is well written. The simulation and experimental results are promising. In my opinion, several minor points need to be clarified. The theoretical framework is validated by performing the experiments. Mathematical concepts are well explained. 

2) The comparison results between different strategies can be further extended regarding the computational burden. In particular, fuzzy-based strategies may require higher computation complexity. This point should be discussed in the paper. Also, the literature should be reviewed to make a fair comparison regarding the computation burden.

3) The advanced control methods for PMSM control should be discussed in the Introduction Section. For example, model predictive control is a popular method in PMSM control. Please see the reference paper below:

"Modulated Model Predictive Control of Permanent Magnet Synchronous Motors with Improved Steady-State Performance"

4) More reference papers from Applied Science can be added.

5) Figure 8 is hard to review. The resolution of Figure 8 can be improved.

6) From Fig. 10, a constant steady-state error persists for traditional PI-based control. What is the main reason? In a well-designed PI loop, the steady-state error is usually eliminated. Please discuss this point in the paper.

 

 

 

Author Response

Many thanks for your comments and suggestions. The manuscript has been modified according to your comments.

Author Response File: Author Response.doc

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