Research Article

Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller

Volume: 4 Number: 1 June 26, 2023
TR EN

Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller

Abstract

In this study, a flywheel inverted pendulum was modeled as simulation. The model controlled by fuzzy logic and PID controller for comparison. Fuzzy logic controllers were designed using triangular and Gaussian membership functions and various methods that are "and", "implication" and "aggregation". All gains from fuzzy logic controllers and PID were tuned by the trial-and-error method. The best performance was obtained by fuzzy logic controller that uses a triangular membership function and "prob/probor" functions. The results were evaluated in terms of three phenomena. In terms of Settling Time and Maximum Overshoot, Fuzzy Triangle MF with 0.15 s and 0 degrees, respectively, and PID and Fuzzy Triangle MF models with 0 degrees in terms of Steady-State error achieved the best success. In addition, the robustness of the control system was tested by applying two different types of disturbance inputs, random and impulse. The results show that fuzzy logic is a good alternative for balance control of a flywheel inverted pendulum, but PID has an acceptable performance.

Keywords

References

  1. Andrievsky B. R., Global stabilization of the unstable Reaction-Wheel Pendulum. Automation and Remote Control, 72(9), 1981–1993, 2011.
  2. Bai Y., Wang D., Fundamentals of Fuzzy Logic Control—Fuzzy Sets, Fuzzy Rules and Defuzzifications. In Advanced Fuzzy Logic Technologies in Industrial Applications, Springer, London, pp. 17–36, 2006.
  3. Bobrow F., Angelico B. A., da Silva P. S. P., The Cubli: Modeling and Nonlinear Control Utilizing Unit Complex Numbers (arXiv:2009.14625), 2020.
  4. Erkol H. O., Ters Sarkaç Sisteminin Yapay Arı Kolonisi Algoritması ile Optimizasyonu. Journal of Polytechnic, 20(4), 863–868, 2017.
  5. Gajamohan M., Merz M., Thommen I., D’Andrea R., The Cubli: A cube that can jump up and balance. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3722–3727, 2012.
  6. Han H. Y., Han T. Y., Jo H. S., Development of omnidirectional self-balancing robot. 2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), September, 57–62, 2014.
  7. Hatada K., Sato M., Hirata K., Masui Y., Synthesis of a Calibration-Free Visual Feedback Controller for an Inverted Pendulum Using a Fisheye Lens. IEEE Transactions on Industrial Electronics, 69(12), 13348–13358, 2022.
  8. Huang H., Li Z., Guo Z., Guo J., Suo L., Wang, H., Prescribed Performance Adaptive Balance Control for Reaction Wheel-Based Inverted Pendulum-Type Cubli Rovers in Asteroid. Aerospace, 9(11), Article 11, 2022.

Details

Primary Language

English

Subjects

Automation Engineering

Journal Section

Research Article

Early Pub Date

June 23, 2023

Publication Date

June 26, 2023

Submission Date

November 10, 2022

Acceptance Date

February 27, 2023

Published in Issue

Year 2023 Volume: 4 Number: 1

APA
Erkol, H. O., & Közkurt, C. (2023). Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller. Journal of Materials and Mechatronics: A, 4(1), 147-160. https://doi.org/10.55546/jmm.1202084
AMA
1.Erkol HO, Közkurt C. Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller. J. Mater. Mechat. A. 2023;4(1):147-160. doi:10.55546/jmm.1202084
Chicago
Erkol, Hüseyin Oktay, and Cemil Közkurt. 2023. “Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller”. Journal of Materials and Mechatronics: A 4 (1): 147-60. https://doi.org/10.55546/jmm.1202084.
EndNote
Erkol HO, Közkurt C (June 1, 2023) Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller. Journal of Materials and Mechatronics: A 4 1 147–160.
IEEE
[1]H. O. Erkol and C. Közkurt, “Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller”, J. Mater. Mechat. A, vol. 4, no. 1, pp. 147–160, June 2023, doi: 10.55546/jmm.1202084.
ISNAD
Erkol, Hüseyin Oktay - Közkurt, Cemil. “Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller”. Journal of Materials and Mechatronics: A 4/1 (June 1, 2023): 147-160. https://doi.org/10.55546/jmm.1202084.
JAMA
1.Erkol HO, Közkurt C. Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller. J. Mater. Mechat. A. 2023;4:147–160.
MLA
Erkol, Hüseyin Oktay, and Cemil Közkurt. “Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller”. Journal of Materials and Mechatronics: A, vol. 4, no. 1, June 2023, pp. 147-60, doi:10.55546/jmm.1202084.
Vancouver
1.Hüseyin Oktay Erkol, Cemil Közkurt. Balance Control of a Flywheel Inverted Pendulum by Fuzzy Logic Controller. J. Mater. Mechat. A. 2023 Jun. 1;4(1):147-60. doi:10.55546/jmm.1202084

Cited By