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

G. M. Abro, S. Zulkifli, V. Asirvadam, Z. Ali, Nirbhay Mathur, Rahul Kumar
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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.
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欠驱动气垫车(ACV)的建模、控制与镇定
与自由度(DOF)相比,欠驱动系统由于控制输入数量较少而很难控制和稳定。因此,本研究手稿提出了一个欠驱动气垫飞行器(ACV)通常被称为气垫船的两种主要控制方案的比较分析。通过研究欠驱动机电系统的平动动力学和角动力学,利用牛顿-欧拉公式推导了欠驱动机电系统的数学模型。比较了比例积分微分器(PID)控制设计与基于模糊的PID (F-PID)控制方案的有效性。因此,通过提供的仿真结果,本文得出结论,即使在有界不确定性的情况下,本文提出的基于模糊PID (F-PID)算法比简单PID控制方案更能实现鲁棒的暂态和稳态性能,收敛速度快。
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