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Self-tuning run-time reconfigurable PID controller

Self-tuning run-time reconfigurable PID controller

Pelc, Mariusz (2011) Self-tuning run-time reconfigurable PID controller. Archives of Control Sciences, 21 (2). pp. 189-205. ISSN 1230-2384 (Print), 189–205 (Online) (doi:https://doi.org/10.2478/v10170-010-0039-y)

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Abstract

Digital PID control algorithm is one of the most commonly used algorithms in the control systems area. This algorithm is very well known, it is simple, easily implementable in the computer control systems and most of all its operation is very predictable. Thus PID control has got well known impact on the control system behavior. However, in its simple form the controller have no reconfiguration support. In a case of the controlled system substantial changes (or the whole control environment, in the wider aspect, for example if the disturbances characteristics would change) it is not possible to make the PID controller robust enough. In this paper a new structure of digital PID controller is proposed, where the policy-based computing is used to equip the controller with the ability to adjust it's behavior according to the environmental changes. Application to the electro-oil evaporator which is a part of distillation installation is used to show the new controller structure in operation.

Item Type: Article
Additional Information: [1] Citation: Pelc, Mariusz (2011) Self-tuning run-time reconfigurable PID controller. Archives of Control Sciences. Volume 21, Issue 2, Pages 189–205, ISSN (Print) 1230-2384. DOI: 10.2478/v10170-010-0039-y. Open Access Publication Date: October 2011. [2] This article is published with open access at degruyter.com. Effective immediately the Creative Commons licence CC BY-NC-ND shall apply for all Open Access content.
Uncontrolled Keywords: policy-based computing, reconfigurable systems, PID controller
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
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Last Modified: 14 Oct 2016 09:17
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/7080

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