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Dynamic Decoupling and Intelligent Optimal PID Controller Tuning of Multivariable Qua-drones
Dong Hwa Kim

Dong Hwa Kim, Prof., Department of Electrical Power and Control Engineering, Hanbat National University, South Korea .

Manuscript received on November 20, 2021. | Revised Manuscript received on November 25. | Manuscript published on November 30, 2021. | PP: 227-240 | Volume-10 Issue-4, November 2021. | Retrieval Number: 100.1/ijrte.D66271110421 | DOI: 10.35940/ijrte.D6627.1110421
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper deals with dynamic decoupling and its intelligent PID control method of multivariable qua-drone. Up to this time, many sophisticated intelligent algorithms and control methods for drone systems have been mentioned. However, almost many cases have been focusing on single loop control methods and general multivariable systems. Therefore, we cannot guarantee its stability and optimal response by PID control used in multivariable qua-drone. Herein, this paper suggests a novel control method for PID control for multivariable qua-drone. As first step, this paper decouples dynamic of multivariable qua-drone using diagonal method of system matrix and then applies intelligent method PSO and GA to single loop obtained by decoupling method to obtain optimal response.
Keywords: Drone Control, Genetic Algorithm, Pso , Ziegler Nichols, Multivariable , Intelligent