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Inter channel Interference in While box Model of Twin Rotor MIMO System

International Journal of Electrical and Electronics Engineering
© 2021 by SSRG - IJEEE Journal
Volume 8 Issue 4
Year of Publication : 2021
Authors : Huong T.M. Nguyen
10.14445/23488379/IJEEE-V8I4P107
pdf
How to Cite?

Huong T.M. Nguyen, "Inter channel Interference in While box Model of Twin Rotor MIMO System," SSRG International Journal of Electrical and Electronics Engineering, vol. 8,  no. 4, pp. 36-40, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I4P107

Abstract:

In model predictive control, building the correct model and solving the optimization problem are two jobs that always require a lot of time and effort. These are also two issues that many scientists are interested in studying when applying model-driven reporting control to certain objects. With a TRMS object, we can build a white box model, a gray box model, or a black-box model. Some authors have built the TRMS model published in [2], [3], [4], [5]. We have studied the optimal problem-solving methods in model predictive control in articles [6], [7], [8]. In this article, the author builds a white-box model of the TRMS object according to the Newton method. Studying the effects of the interchannel effects of the white box model TRMS and evaluation on the ability to apply that model in the simulation and control object.

Keywords:

While box model, Model predictive control, Yaw angle, Pitch angle, Interchannel Interference, Twin rotor MIMO system (TRMS).

References:

[1] Twin Rotor MIMO System 33-220 User Manual, 1998 (Feedback Instruments Limited, Crowborough, UK).
[2] A. Rahideh, M.H. Shaheed, Mathematical dynamic modeling of a twin-rotor multiple inputs–multiple output system, Proceedings of the IMechE, Part I. Journal of Systems and Control Engineering 221 (2007) 89–101.
[3] Ahmad, S. M., Shaheed, M. H., Chipperfield, A. J., and Tokhi, M. O. Nonlinear modeling of a twin-rotor MIMO system using radial basis function networks. IEEE National Aerospace and Electronics Conference, (2000) 313–320.
[4] Ahmad, S. M., Chipperfield, A. J., and Tokhi, M. O. Dynamic modeling and optimal control of a twin-rotor MIMO system. IEEE National Aerospace and Electronics Conference, 2000, pp. 391–398.
[5] Shaheed, M. H. Performance analysis of 4 types of conjugate gradient algorithm in the nonlinear dynamic modeling of a TRMS using feedforward neural networks. IEEE International Conference on Systems, man and cybernetics, (2004) 5985–5990.
[6] Huong T.M. Nguyen, Thai. Mai.T, Anh. Do. T.T, Lai Lai K. Stabilization for Twin Rotor MIMO System based on BellMan’s Dynamic Programming Method, Journal of Science and Technology of Thai Nguyen University,128(14) (2014) 161-165.
[7] Huong. Nguyen. T.M, Thai. Mai.T, Chinh. Nguyen. H, Dung. Tran.T and Lai. Lai. K, Model Predictive Control for Twin Rotor MIMO system, The University of Da Nang Journal of Science and Technology, 12[85] (2014) 39 – 42.
[8] Huong T.M. Nguyen, Thai Mai T., Lai Lai K., Model Predictive Control to get Desired Output with Infinite Predictive Horizon for Bilinear Continuous Systems, International Journal of Mechanical Engineering and Robotics Research, 4(4) (2015) 299 - 303.