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|Title:||Plant Identification and Predictive Control of a Scaled-Model Helicopter||Authors:||Khaldi, Mohamad
Abiad, Hassan El
Abdul Ahad , Elias
|Affiliations:||Department of Electrical Engineering||Keywords:||Three-term control
Control system synthesis
Nonlinear control systems
|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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