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Model-Based Driving Analysis for A novel Stepped Rotary Flow Control Valve.

Abuowda, K., Noroozi, S., Dupac, M. and Godfrey, P., 2019. Model-Based Driving Analysis for A novel Stepped Rotary Flow Control Valve. IFAC Proceedings Volumes (IFAC-PapersOnline), 52 (12), 549 - 554.

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DOI: 10.1016/j.ifacol.2019.11.301

Abstract

This paper investigates the driving techniques for a novel stepped rotary flow control valve which has been developed for a hydraulic Independent Metering (IM) control system. This valve has promising features such as observed controllability and stability. Its main structure is composed of a stepper motor coupled directly to a rotary orifice. The rotation of the stepper motor changes the orifice opening area and therefore the rate of the fluid flow. Two main techniques have been used to drive the stepper motor which are the full step and the micro-step rotary movements of the stepper motor and with it the rotary control orifice. Investigation of the relationship between these driving techniques and the dynamic performance of the valve is necessary to develop a control algorithm for this new IM configuration. This investigation is based on the mathematical model of the valve, and indicates that the driving signals have a different effect on the dynamical performance of the valve. For example, the rest points using the full step technique affects the friction torque produced by the rotary orifice.

Item Type:Article
ISSN:1474-6670
Additional Information:Open Access in IFAC-PapersOnLine IFAC and Elsevier are delighted to announce that from 1st October 2019, IFAC-PapersOnline will be publishing all content under the 'Diamond' or subsidized open access model. From this date onwards, all authors will retain copyright of their submitted papers and will be offered a Creative Commons licence. There will be no charge to authors, or to conference organizers, for publishing in IFAC-PapersOnLine. For full information on open access options at Elsevier, please refer to the following pages: https://www.elsevier.com/en-gb/about/open-science/open-access
Group:Faculty of Science & Technology
ID Code:33087
Deposited By: Symplectic RT2
Deposited On:02 Dec 2019 09:48
Last Modified:14 Mar 2022 14:18

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