Control of a Twin Rotor Multi-input Multi-output System (TRMS) is not a simple work. Because it has complex nonlinear dynamics, cross-coupling, uncertainties, and instability. This paper provides a practical method for control of a TRMS, named Quantitative Feedback Theory (QFT) as one of the robust approaches. Firstly, the TRMS set and modeling procedure are introduced. Secondly, the nonlinear and linear equations of electrical and mechanical parts in both vertical and horizontal planes are presented. Next, using the QFT method, a controller is designed for motion in each plane. Finally, the robustness of the control strategy is illustrated by simulations of vertical and horizontal motions, including controller and pre-filter in the presence of uncertainties. The results demonstrate that the proposed robust controller can guarantee the system stabilization, as well as pitch and yaw tracking of TRMS.
A QFT robust controller as a remedy for TRMS
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods
BASE | 2018
|At the Wheel of the TRMs and VABs
Automotive engineering | 1983
|Real-coded genetic algorithm for parametric modelling of a TRMS
Tema Archive | 2009
|Feedforward neural network based non-linear dynamic modelling of a TRMS using RPROP algorithm
Online Contents | 2005
|