Filtered Dynamic Inversion for Vibration Control of Structures With Uncertainty

Author:

Seigler T. M.1,Hoagg Jesse B.2

Affiliation:

1. Assistant Professor e-mail:

2. Assistant Professor e-mail:  Department of Mechanical Engineering, University of Kentucky, 281 Ralph G. Anderson Building, Lexington, KY 40506-0503

Abstract

This paper presents a controller for uncertain structures that are minimum phase and potentially subject to unknown-and-unmeasured disturbances. The controller combines dynamic inversion with a low-pass filter to yield a single-parameter high-gain-stabilizing controller. Filtered dynamic inversion requires limited model information, is independent of system order, requires only output feedback, and makes the average power of the command following error arbitrarily small despite the presence of unknown disturbances. The controller is applied to structures modeled by finite-dimensional vector second-order systems with unknown and arbitrarily large order. We also present an adaptive filtered-dynamic-inversion controller, which uses a high-gain adaptive law to increase the controller parameter until the desired performance is achieved. Finally, the controller is extended to vector second-order nonlinear systems, in which case full-state feedback may be required. Examples are given to demonstrate the application and performance of the controller.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference23 articles.

1. Trends in Large Space Structure Control Theory: Fondest Hopes, Wildest Dreams;IEEE Trans. Autom. Control,1982

2. Bode Integral Constraints, Colocation, and Spillover in Active Noise and Vibration Control;IEEE Trans. Control Syst. Technol.,1998

3. On the Stability Problem Caused by Finite Actuator Dynamics in Collocated Control of Large Space Structures;Int. J. Control,1985

4. The Robust Control of a Servomechanism Problem for Linear Time-Invariant Multivariable Systems;IEEE Trans. Autom. Control,1976

5. The Internal Model Principle of Control Theory;Automatica,1976

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