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Peer-Review Record

Sensorless HSPMSM Control of an Improved SMC and EKF Based on Immune PSO

Appl. Sci. 2023, 13(22), 12407; https://doi.org/10.3390/app132212407
by Keqilao Meng 1,2,3,*, Qing Liu 1, Zhanqiang Zhang 4, Huijuan Wu 1, Haining Feng 5 and Taifeng Kang 5
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2023, 13(22), 12407; https://doi.org/10.3390/app132212407
Submission received: 24 October 2023 / Revised: 10 November 2023 / Accepted: 14 November 2023 / Published: 16 November 2023

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

1.Explain the significance and potential impact of the research in the abstract. Why is this work important, and how does it contribute to the field?

2.Mention the key motivation or problem that this research addresses at the beginning of the abstract.

3. Emphasize more on the advantages of the new SMC over the traditional PI controller, and explain how it performs better in high-speed steady-state scenarios. Use specific data and observations to support this claim.

4. Discuss the practical implications of your findings. How can the improved control system benefit real-world applications, and what industries or sectors could benefit the most?

Comments on the Quality of English Language

Minor editing of the English language required

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

In this paper, Sensorless HSPMSM control of an improved SMC and EKF based on immune PSO has been adopted. Overall, the paper is good however, some of the recommended corrections are listed as follows:

1.       The abstract mentions improvements in the convergence law and the use of a continuous function. It would be helpful to elaborate on the specific ways these improvements were made and how they contribute to the performance of the controller.

2.       The superiority of the newly developed ISMC over a traditional PI controller has been evaluated. What quantitative data or performance metrics were used to determine this superiority, and can the authors provide more insight into the comparative analysis?

3.       While discusses simulation results, it's crucial to question the robustness of the proposed controller in real-world scenarios. How does it perform in the presence of disturbances, non-linearities, and practical limitations that real systems often encounter?

4.       The asymptotic stability of the designed sliding mode variable structure controller has been mentioned. It would be valuable to inquire about the details of the stability analysis, the choice of Lyapunov function, and the conditions under which this stability is guaranteed.

5.       The method adopted is an extended Kalman filter (EKF) with immune particle swarm optimization (PSO) for rotor position and speed control. What is the novelty in this approach, and how does it compare to other sensorless control methods for PMSMs?

6.       Except simulation results, whether there are plans for experimental validation of the proposed control strategies in a real motor system.

7.       The method is intended for high-speed permanent magnet synchronous motors in flywheels. Could the authors discuss the potential broader applications of their findings and whether the developed control strategies can be adapted for use in other motor systems?

Comments on the Quality of English Language

Minor editing of English language required

Author Response

Please see the attachment

Author Response File: Author Response.pdf

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