Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system: A comparative assessment
Journal article
Masrom, M., A Ghani, NM and Tokhi, MO (2019). Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system: A comparative assessment. Journal of Low Frequency Noise Vibration and Active Control. 40 (1), pp. 367-382. https://doi.org/10.1177/1461348419873780
Authors | Masrom, M., A Ghani, NM and Tokhi, MO |
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Abstract | This paper presents investigations into the development of an interval type-2 fuzzy logic control (IT2FLC) mechanism integrated with particle swarm optimization and spiral dynamic algorithm. The particle swarm optimization and spiral dynamic algorithm are used for enhanced performance of the IT2FLC by finding optimised values for input and output controller gains and parameter values of IT2FLC membership function as comparison purpose in order to identify better solution for the system. A new model of triple-link inverted pendulum on two-wheels system, developed within SimWise 4D software environment and integrated with Matlab/Simulink for control purpose. Several tests comprising system stabilization, disturbance rejection and convergence accuracy of the algorithms are carried out to demonstrate the robustness of the control approach. It is shown that the particle swarm optimization-based control mechanism performs better than the spiral dynamic algorithm-based control in terms of system stability, disturbance rejection and reduce noise. Moreover, the particle swarm optimization-based IT2FLC shows better performance in comparison to previous research. It is envisaged that this system and control algorithm can be very useful for the development of a mobile robot with extended functionality. |
Keywords | Mechanical Engineering; Acoustics and Ultrasonics; Mechanics of Materials; Geophysics; Civil and Structural Engineering; Building and Construction |
Year | 2019 |
Journal | Journal of Low Frequency Noise Vibration and Active Control |
Journal citation | 40 (1), pp. 367-382 |
Publisher | Sage |
ISSN | 1461-3484 |
2048-4046 | |
Digital Object Identifier (DOI) | https://doi.org/10.1177/1461348419873780 |
Funder/Client | Graduate Research Assistant |
Publication dates | |
Online | 14 Sep 2019 |
Publication process dates | |
Deposited | 01 Apr 2021 |
Publisher's version | License File Access Level Open |
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https://openresearch.lsbu.ac.uk/item/8w706
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