Adaptive output feedback control with reduced sensitivity to sensor noise

Date

2003-01-01

Author

Kutay, Ali Türker
Hovakimyan, N

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We address adaptive output feedback control of uncertain nonlinear systems with noisy output measurements, in which both the dynamics and the dimension of the regulated system may be unknown, and only the relative degree of the regulated output is assumed to be known. Given a smooth reference trajectory, the problem is to design a controller that forces the system measurement to track it with bounded errors. A recently developed method proposes the use of a linear error observer that estimates the tracking error and its derivatives. Since the observer is full order, it also estimates the states of the controller, even though these states are exactly known. It has been observed experimentally that the resulting adaptive control architecture is very sensitive to sensor noise. In this paper we provide a specific reduced order observer that significantly reduces sensitivity to sensor noise in adaptive control design. Experimental results on a three degrees of freedom laboratory model helicopter are used to illustrate the effectiveness of the reduced order observer design.

Subject Keywords

Programmable control, Adaptive control, Output feedback, Noise reduction, Observers, Control systems, Nonlinear control systems, Nonlinear systems, Nonlinear dynamical systems, Trajectory

URI

https://hdl.handle.net/11511/53055

Conference Name

American Control Conference (ACC)

Collections

Department of Aerospace Engineering, Conference / Seminar

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Citation Formats

A. T. Kutay and N. Hovakimyan, “Adaptive output feedback control with reduced sensitivity to sensor noise,” presented at the American Control Conference (ACC), Denver, CO, USA, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53055.