Identification of Electro-mechanical Actuators within Limited Stroke

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/51959

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51959

Title:	Identification of Electro-mechanical Actuators within Limited Stroke
Authors:	Shyu,KK;Lee,YY
Contributors:	電機工程學系
Keywords:	ADAPTIVE FRICTION COMPENSATION;SERVOPNEUMATIC PARALLEL ROBOT;LABORATORY EXPERIMENTS;COMPUTER-SIMULATION;MODEL STRUCTURE;MOTOR-DRIVES;SINGLE;SYSTEMS
Date:	2010
Issue Date:	2012-03-28 10:11:53 (UTC+8)
Publisher:	國立中央大學
Abstract:	This paper presents a novel method for estimating the parameters of electro-mechanical systems, or known as actuators, within limited stroke. Identification of actuators with unlimited stroke is an ordinary problem in control applications. However, in identifying parameters of the actuator like the viscous damping coefficient, the Coulomb friction torque, and the equivalent moment of inertia reflected to the motor side, the mechanism with limited stroke is involved and the identification problem becomes more complicated. In this paper, a simple and straightforward method is developed to resolve this problem. A sequence of pulses with various levels is designed to estimate the viscous damping coefficient and the Coulomb friction torque within the limited stroke of the actuator. Then an optimal algorithm based on the interior-reflective Newton method is applied to search the moment of inertia of the overall system. It is demonstrated in the simulation examples that even when the velocity profile is calculated directly from the first difference of the sampled position and is corrupted by highly amplified noise, the proposed method can still find the moment of inertia with error less than 1%. Simulation and experimental results are both presented indicating the practical viability of the proposed approach.
Relation:	JOURNAL OF VIBRATION AND CONTROL
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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