Plant identification and predictive control of a scaled-model helicopter

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Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/753

Title:	Plant identification and predictive control of a scaled-model helicopter
Authors:	Khaldi, Mohamad Chamchoum, Sayed Abiad, Hassan El Abdul Ahad , Elias
Affiliations:	Department of Electrical Engineering
Keywords:	Three-term control Aircraft control Control system synthesis Identification Nonlinear control systems Optimal control
Subjects:	Helicopters Predictive control
Issue Date:	2009
Publisher:	IEEE
Part of:	IEEE International Symposium on Industrial Electronics
Start page:	1720
End page:	1725
Conference:	IEEE International Symposium on Industrial Electronics (5-8 July 2009 : Seoul, South Korea)
Abstract:	Scaled-model helicopters are highly nonlinear, coupled, and unstable machines. They have fast response and controlling them is very complicated and need high degree of precision. In this paper, a detailed nonlinear model is derived. Based upon input/output measurements of the nonlinear model, the dynamics of every channel are identified and Linear State Space Models (LSSMs) are obtained. Model Predictive Control (MPC) and optimal PID controller are designed for the obtained LSSM and then applied to the nonlinear plant and the results were compared.
URI:	https://scholarhub.balamand.edu.lb/handle/uob/753
Ezproxy URL:	Link to full text
Type:	Conference Paper
Appears in Collections:	Department of Electrical Engineering

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