Optimal Zero Placement for PI and PD Control of DC Motors in Medical Applications
DOI:
https://doi.org/10.61173/32qrqf31Keywords:
DC motor, PI control, PD control, Gain searchingAbstract
In medical devices, DC motors are crucial components due to their high efficiency and high starting torque, which effectively address sudden load increases. This study focuses on improving the inherent performance of the system. The proposed approach utilizes PI control for motor speed and PD control for motor angle to optimize system performance. Gain selection is central to this process, ensuring the system maintains robustness while improving response time and minimizing overshoot. The primary task of this research is to select appropriate zero points and gains to achieve optimal performance. Using the root locus method and Matlab, gains for rapid response were identified for a 100mHz DC motor under PI and PD control. Zero points of -11 and -12 were found for high stability requirements and general demands, respectively, offering reduced overshoot and shorter response times. The resulting circuit was constructed based on these values, yielding ideal waveforms and verifying the feasibility of the proposed results. On this basis, further refinement in zero-point selection and optimization of the underlying control system can be pursued.References
[1] Thanh D. C. and Huy D. N., Speed control of bldc motor using pi controller in MATLAB Simulink, J. Electrical Systems, 2024, 20, 9, 1125-1131.
[2] Fadaei M. H. K., Pahnehkolaei S. A. H., and Hesarlou M. J., Design of Hybrid Fuzzy-PD Controller for an Inverted Pendulum, Majlesi Journal of Mechatronic Systems, 2021, 10, 2, 21-27.
[3] Okoro I. S. and Enwerem C. O., “Robust control of a DC motor,” *Heliyon*, 2024, 10, 17, pp. 1-10,
[4] Li X., Shang D., Li H., and Li F., Resonant Suppression Method Based on PI Control for Serial Manipulator Servo Drive System, Science Progress, 2020, 103, 3, 1-39.
[5] Borase R P, Maghade D K, Sondkar S Y, et al. A review of PID control, tuning methods and applications. International Journal of Dynamics and Control, 2021, 9: 818-827.
[6] Lloyds Raja G, Ali A. New PI-PD controller design strategy for industrial unstable and integrating processes with dead time and inverse response. Journal of Control, Automation and Electrical Systems, 2021, 32: 266-280.
[7] Kumar V., Rana K. P. S., and Mishra P., Robust speed control of hybrid electric vehicle using fractional order fuzzy PD & PI controllers in Cascade Control Loop, Journal of the Franklin Institute, 2016, 353, 3-11.
[8] Mathe S E, Pamarthy A C, Kondaveeti H K, et al. A review on Raspberry Pi and its robotic applications. 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2022: 1-6.
[9] Gao Z, Liu Y, Wang Z. On stabilization of linear switched singular systems via PD state feedback. IEEE Access, 2020, 8: 97007-97015.
[10] Soriano L A, Zamora E, Vazquez-Nicolas J M, et al. PD control compensation based on a cascade neural network applied to a robot manipulator. Frontiers in Neurorobotics, 2020, 14: 577749.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 by the authors.

This work is licensed under a Creative Commons Attribution 4.0 International License.
