Research Article

EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION

Number: 052 March 29, 2023
EN

EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION

Abstract

Studies on the control of nonlinear systems with metaheuristic algorithms are increasing day by day. It is one of the nonlinear systems in the Twin rotor multiple input multiple output (TRMS) system, which emerged as a prototype of helicopters. This system has two control angles horizontally and vertically. In this study, the yaw and pitch angle control parameters of the TRMS system were found using both traditional and butterfly-based particle swarm optimization (BFPSO) method. In experimental studies, reference values of main propeller and tail propeller angles were tried to be reached in TRMS with fractional order proportional-integral-derivative (FOPID), proportional-integral-derivative (PID) and tilt-integral-derivative (TID) controllers.

Keywords

Thanks

The authors thank the TRMS Application Unit at Van Yuzuncu Yıl University Electronics Laboratory for some of the data presented in this article.

References

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  3. [3] Bohre, A. K. Agnihotri, G. and Dubey, M. (2015). The butterfly-particle swarm optimization (Butterfly-PSO/BF-PSO) technique and its variables. International Journal of Soft Computing, Mathematics and Control, IJSCMC, 4, 3.
  4. [4] Mathi, D. K. and Chinthamalla, R. (2020). A hybrid global maximum power point tracking method based on butterfly particle swarm optimization and perturb and observe algorithms for a photovoltaic system under partially shaded conditions. International Transactions on Electrical Energy Systems, 30, 10.
  5. [5] Agrawal, A. K. (2013). Optimal Controller Design for Twin Rotor MIMO System, Doctoral dissertation.
  6. [6] Mustapha, S. Fayçal, K. M. and Mohammed, S. (2015). Application of artificial immune algorithm-based optimisation in tuning a PID controller for nonlinear systems. International Journal of Automation and Control, 9, 3, 186-200.
  7. [7] Ting, T. O. Yang, X. S. Cheng, S. Huang, K. (2015). Hybrid metaheuristic algorithms: past, present, and future. Recent advances in swarm intelligence and evolutionary computation, 71-83.
  8. [8] Khanduja, N. Bhushan, B. (2021). Optimal design of FOPID Controller for the control of CSTR by using a novel hybrid metaheuristic algorithm. Sādhanā, 46, 2, 1-12.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

March 29, 2023

Submission Date

November 2, 2022

Acceptance Date

March 2, 2023

Published in Issue

Year 2023 Number: 052

APA
Çabuker, A. C., Almalı, M. N., & Parlar, İ. (2023). EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION. Journal of Scientific Reports-A, 052, 174-189. https://doi.org/10.59313/jsr-a.1198441
AMA
1.Çabuker AC, Almalı MN, Parlar İ. EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION. JSR-A. 2023;(052):174-189. doi:10.59313/jsr-a.1198441
Chicago
Çabuker, Ali Can, Mehmet Nuri Almalı, and İshak Parlar. 2023. “EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION”. Journal of Scientific Reports-A, nos. 052: 174-89. https://doi.org/10.59313/jsr-a.1198441.
EndNote
Çabuker AC, Almalı MN, Parlar İ (March 1, 2023) EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION. Journal of Scientific Reports-A 052 174–189.
IEEE
[1]A. C. Çabuker, M. N. Almalı, and İ. Parlar, “EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION”, JSR-A, no. 052, pp. 174–189, Mar. 2023, doi: 10.59313/jsr-a.1198441.
ISNAD
Çabuker, Ali Can - Almalı, Mehmet Nuri - Parlar, İshak. “EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION”. Journal of Scientific Reports-A. 052 (March 1, 2023): 174-189. https://doi.org/10.59313/jsr-a.1198441.
JAMA
1.Çabuker AC, Almalı MN, Parlar İ. EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION. JSR-A. 2023;:174–189.
MLA
Çabuker, Ali Can, et al. “EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION”. Journal of Scientific Reports-A, no. 052, Mar. 2023, pp. 174-89, doi:10.59313/jsr-a.1198441.
Vancouver
1.Ali Can Çabuker, Mehmet Nuri Almalı, İshak Parlar. EVALUATION OF CONTROLLER PARAMETERS ON THE TWIN ROTOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM USING BUTTERFLY-BASED PARTICLE SWARM OPTIMIZATION. JSR-A. 2023 Mar. 1;(052):174-89. doi:10.59313/jsr-a.1198441

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