Optimal Coronavirus Optimization Algorithm Based PID Controller for High Performance Brushless DC Motor
Round 1
Reviewer 1 Report
This manuscript proposes the use of an Optimal Coronavirus Optimization Algorithm in the PID controller design for high performance brushless DC motor.
Apart from the still new CVOA algorithm, the rest of the work does not add anything original.
For a better rendering of the article, the following points should be considered:
- Punctuation and sentence construction errors should be reviewed.
- The data used in the introduction regarding COVID-19 needs to be updated.
- What are equations (1) and (2) used for in this work?
- In section 3, CVOA is poorly presented. The parameters of this algorithm with the general flowchart must be given; the calculation of these parameters must be explained.
- Formula (13) is confusing.
- In sections 4 and 5, a comparison with GA and HS is given. A reminder of the principle of the two methods is required.
Author Response
Dear Reviewers and Editors,
We would like to use this opportunity to sincerely thank the reviewers for their interest in our work and for helpful comments that will greatly improve the manuscript. As indicated below, we have checked all the comments provided by the Referees and have made necessary changes.
In the following answers, all reviewers’ comments are in black, and our answers are in blue.
Best Regards,
Mohamed A. Shamseldin
Reviewer 1
Comments and Suggestions for Authors
This manuscript proposes the use of an Optimal Coronavirus Optimization Algorithm in the PID controller design for high performance brushless DC motor.
Apart from the still new CVOA algorithm, the rest of the work does not add anything original.
For a better rendering of the article, the following points should be considered:
- Punctuation and sentence construction errors should be reviewed.
Done: Punctuation and sentence construction errors were corrected.
- The data used in the introduction regarding COVID-19 needs to be updated.
Done: The topic of the CVOA algorithm considers very recent and the references are still few.
- What are equations (1) and (2) used for in this work?
Done: Equations (1) and (2) summarizes the state space of the BLDC motor model.
- In section 3, CVOA is poorly presented. The parameters of this algorithm with the general flowchart must be given; the calculation of these parameters must be explained.
Done: The parameters of the CVOA in the general flowchart were completed in table 2. More details about the algorithm have illustrated in section 3.4.
- Formula (13) is confusing.
Done: Equation (13) has been demonstrated in section 3.4.
- In sections 4 and 5, a comparison with GA and HS is given. A reminder of the principle of the two methods is required.
Done: More details about the GA and HS have been presented (sections 3.1 and 3.2).
Author Response File: 
Author Response.docx
Reviewer 2 Report
The overall quality is quite good but some points need a feedback from the author:
1- The poor quality of figures 4, 5 (please use emf figures)
2- Parameters of the ref GA method are missing and how these parameters were tuned
3- Your method looks similar to GA, it is necessary to mention in the conclusion what are the main mathematical differences and what is the basis of your equations 11-13
Author Response
Dear Reviewers and Editors,
We would like to use this opportunity to sincerely thank the reviewers for their interest in our work and for helpful comments that will greatly improve the manuscript. As indicated below, we have checked all the comments provided by the Referees and have made necessary changes.
In the following answers, all reviewers’ comments are in black, and our answers are in blue.
Best Regards,
Mohamed A. Shamseldin
Reviewer 2
Comments and Suggestions for Authors
The overall quality is quite good but some points need a feedback from the author:
1- The poor quality of figures 4, 5 (please use emf figures)
Done: The resolution of figures 4 and 5 are enhanced.
2- Parameters of the ref GA method are missing and how these parameters were tuned
Done: More details about the GA and HS have been presented (sections 3.1 and 3.2).
3- Your method looks similar to GA, it is necessary to mention in the conclusion what are the main mathematical differences and what is the basis of your equations 11-13
Done: The main differences between GA and CVOA have illustrated in section 3.4.
Author Response File: Author Response.docx
Reviewer 3 Report
This paper is concerned with COA based PID controller optimization for BLDC system. The topic of the paper is interesting and the paper is well written. To further improve the quality of the manuscript, the following comments can be considered:
1. What is the advantage of COA compared with other optimization algorithms?
2. The novelty of the new COA should be strengthened.
3. The results of the manuscript are concluded in simulation experiments. Could the author give some experiments on real BLDC motor testbed?
4. Could the author give some comparisons on the new COA algorithm with others based on the benchmark functions of intelligent optimization algorithm?
Author Response
Dear Reviewers and Editors,
We would like to use this opportunity to sincerely thank the reviewers for their interest in our work and for helpful comments that will greatly improve the manuscript. As indicated below, we have checked all the comments provided by the Referees and have made necessary changes.
In the following answers, all reviewers’ comments are in black, and our answers are in blue.
Best Regards,
Mohamed A. Shamseldin
Reviewer 3
Comments and Suggestions for Authors
This paper is concerned with COA based PID controller optimization for BLDC system. The topic of the paper is interesting and the paper is well written. To further improve the quality of the manuscript, the following comments can be considered:
- What is the advantage of COA compared with other optimization algorithms?
The main differences between GA and CVOA have illustrated in section 3.4.
- The novelty of the new COA should be strengthened.
The novelty of the new CVOA has illustrated in section 3.4.
- The results of the manuscript are concluded in simulation experiments. Could the author give some experiments on real BLDC motor testbed?
Often, the optimization techniques are performed offline so, it is hard executing the optimization online due to the high time consumption.
To can perform any type of optimization algorithm needs firstly obtain a transfer function for real system then
- Could the author give some comparisons on the new COA algorithm with others based on the benchmark functions of intelligent optimization algorithm?
You are right but, This paper focuses on obtaining the optimal value of PID controller using different recent types of Optimization techniques based on the suitable objective function.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
First of all, I would like to thank the author for trying to improve his manuscript.
Here are a few remarks relating to his response to the first review.
- Punctuation and sentence construction errors should be reviewed.
Done: Punctuation and sentence construction errors were corrected.
The article still contains sentences to be corrected.
- The data used in the introduction regarding COVID-19 needs to be updated.
Done: The topic of the CVOA algorithm considers very recent and the references are still few.
In the sentence (lines 53-55), for example, the number of contamination is not 10 million. Today, we reach over 168 contaminations around the world.
- What are equations (1) and (2) used for in this work?
Done: Equations (1) and (2) summarizes the state space of the BLDC motor model.
We understand that equations (1) and (2) represent the BLDC motor state space model. But my point is about the usefulness of this model in your work. Apparently, this model is not used in the rest of the article, so it is unnecessary.
For the remainder of the article, I think that the efforts made to explain the ins and outs of CVOA as well as the other two mataheuristics GA and HS for system control help to better understand the objectives of the article.
