Abstract
In this chapter, an optimal controller is designed using the linear quadratic regulator (LQR) method. In order to better evaluate the effect of disturbances on the obtained measurements, a Kalman filter is used. Initially, the controller is tested for a case where disturbances are absent. Then, a Kalman filter is designed and the system under disturbances is tested with the designed controller and filter. The results reveal the effectiveness of the Kalman filter and LQR controller.
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Hajiyev, C., Soken, H.E., Vural, S.Y. (2015). Linear Quadratic Regulator Controller Design. In: State Estimation and Control for Low-cost Unmanned Aerial Vehicles. Springer, Cham. https://doi.org/10.1007/978-3-319-16417-5_10
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DOI: https://doi.org/10.1007/978-3-319-16417-5_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16416-8
Online ISBN: 978-3-319-16417-5
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