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Peer-Review Record

Design of a Saving-Energy Fuzzy Logic Controller for a Differential Drive Robot Based on an Optimization

Appl. Sci. 2023, 13(2), 997; https://doi.org/10.3390/app13020997
by Van Thuan Pham 1,*, Alexandr Stefek 2, Vaclav Krivanek 3 and Thi Son Nguyen 4
Reviewer 1:
Reviewer 2:
Appl. Sci. 2023, 13(2), 997; https://doi.org/10.3390/app13020997
Submission received: 19 December 2022 / Revised: 5 January 2023 / Accepted: 9 January 2023 / Published: 11 January 2023
(This article belongs to the Section Robotics and Automation)

Round 1

Reviewer 1 Report

authors provided a Fast and Effectively Designed Fuzzy Logic Controller for Differential Drive car. However we can not understand where the "fast" is presented in this paper. it is calculated fast or the car moves fast by the designed controller. At the same time, the optimization goal of saving energy is not reflected in the title, which is the core of this study.

Some mathematical symbols are used incorrectly in the article, such as '÷'.

In this paper, Instantaneous kinetic energy is set as the optimization objective. According to the simulation results, the sum of the Instantaneous kinetic energy is provided.  Therefore, what the FF is calculated should be provided clearly. Is it the integration or summation of instantaneous kinetic energy

As shown in the results, the travel distance and time are the longest in the proposed method and the velocity is the lowest. could we believe that the proposed method is only that it is realizing the optimization objective just by reducing the velocity.

 

in the end, paper provided  that "the “Optimal_MFs_FRs_FLC” is the best one in the used FLCs". As far as we know, there is only a suitable controller, not the best one.

Author Response

Manuscript ID: applsci-2139459


Original Article Title: “Fast and Effectively Designing a Fuzzy Logic Controller for a Differential Drive Robot”


To: MDPI Applied Sciences Editor


Re: Response to reviewer 1


Dear Editor,


Thank you for allowing a revision of our manuscript, with an opportunity to address the reviewers’ comments.


We are uploading our point-by-point response to the comments (below) (response to reviewers) in the attachment file.

 

Best regards,

VAN THUAN PHAM et al.

Author Response File: Author Response.pdf

Reviewer 2 Report

1. This article is a continuation of the previous article, but has so many similarities with the previous article (Optimization of Fuzzy Logic Controller Used for a Differential
Drive Wheeled Mobile Robot). The data presented has many similarities but is still acceptable because there is an explanation related to the new method being offered.

2. The article explains that the focus of this article is to seek FLC optimization using GA and Pymoo optimization. Source code is also provided separately. But need to add pymoo optimization and integration methods. Readers actually want to know how to optimize the code, how the intended GA settings are, what integration with pymoo is look like.

Author Response

Manuscript ID: applsci-2139459


Original Article Title: “Fast and Effectively Designing a Fuzzy Logic Controller for a Differential Drive Robot”


To: MDPI Applied Sciences Editor


Re: Response to reviewer


Dear Editor,


Thank you for allowing a revision of our manuscript, with an opportunity to address the reviewers’ comments.


We are uploading our point-by-point response to the comments (below) (response to reviewers) in the attachment file

 

Best regards,

VAN THUAN PHAM et al.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

 Accept in present form

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