Experimental verification of a novel system ID technique called pseudo linear identification (PLID) using a flexible 3D structure

Phillip Vallone; Mark A. Hopkins

doi:10.1117/12.208845

5 May 1995 Experimental verification of a novel system ID technique called pseudolinear identification (PLID) using a flexible 3D structure

Phillip Vallone, Mark A. Hopkins

Author Affiliations +

Proceedings Volume 2442, Smart Structures and Materials 1995: Mathematics and Control in Smart Structures; (1995) https://doi.org/10.1117/12.208845
Event: Smart Structures and Materials '95, 1995, San Diego, CA, United States

Abstract

Presented below is a summary of the results obtained to date on the verification of a novel state space model identification technique called PLID (pseudo linear identification), given in Hopkins et al. This technique has several unique features that include: (1) optimal joint parameter and state estimation (that gives rise to its nonlinearities); (2) provisions for sensor, actuator, and state noise; (3) and it converges almost surely to the true plant parameters provided that the plant is linear, completely controllable/observable, strictly proper, time invariant, and all noise sources are zero mean white Gaussian (ZMWG). Experiments carried out on a flexible, modally dense 3-D truss structure standing 4 feet tall have shown PLID to be a robust technique capable of managing significant deviations from the assumptions made to prove strict optimality. Using the 3 actuators and 3 sensors attached to the structure, models varying in size from 24 to 64 states have been used to approximate this infinite dimensional testbed in the frequency range between 50 to 500 Hz. Sensor signals with rms levels of approximately 2 volts have been predicted by PLID to within 0.01 volts rms.

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Phillip Vallone and Mark A. Hopkins "Experimental verification of a novel system ID technique called pseudolinear identification (PLID) using a flexible 3D structure", Proc. SPIE 2442, Smart Structures and Materials 1995: Mathematics and Control in Smart Structures, (5 May 1995); https://doi.org/10.1117/12.208845

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