Modeling, Controlling & Stabilization of An Underactuated Air-Cushion Vehicle (ACV)

Mustafa Abro, G.E. and Zulkifli, S.A. and Asirvadam, V.S. and Ali, Z.A. and Mathur, N. and Kumar, R. (2021) Modeling, Controlling & Stabilization of An Underactuated Air-Cushion Vehicle (ACV). Proceedings of the 2021 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2021.

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Abstract

Underactuated systems are very difficult to control and stabilize due to fewer number of control inputs as compared to degrees of freedom (DOF). Thus, this research manuscript presents a comparative analysis of two major control schemes for an underactuated air cushion vehicle (ACV) commonly known as hovercraft. By studying the translational and angular dynamics of proposed underactuated mechatronic system, the mathematical model had been derived using Newton Euler formalism. The validity and effectiveness of proportional integrated differentiator (PID) control design is compared with the Fuzzy based PID (F-PID) scheme. Thus, with provided simulation results, paper concludes that the proposed algorithm of fuzzy based PID (F-PID) is better solution for achieving robust transient and steady state performances than simple PID control scheme even in the availability of bounded uncertainties with quick convergence rate. © 2021 IEEE

Item Type: Article
Impact Factor: cited By 0
Uncontrolled Keywords: Air cushion vehicles; Air cushioning; Degrees of freedom (mechanics); Proportional control systems; Uncertainty analysis, Air-cushion vehicles; Degree of freedom; Differentiators; Fuzzy based proportional integrated differentiator; Mechatronic systems; Proportional integrated differentiator; Uncertainty; Under-actuation; Underactuation, and uncertainty, Three term control systems
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 28 Dec 2022 08:22
Last Modified: 25 Oct 2023 04:17
URI: http://scholars.utp.edu.my/id/eprint/33456

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