Automatic tuning of PID controllers using frequency sampling filters

This study proposes new proportional—integral—derivative (PID) controller auto-tuners using frequency sampling filters (FSFs) for the estimation of plant frequency response information under relay feedback control. It differs from the existing auto-tuners in the estimation of plant frequency respons...

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Bibliographic Details
Published in:	IET control theory & applications Vol. 11; no. 7; pp. 985 - 995
Main Author:	Wang, Liuping
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 25.04.2017
Subjects:	Algorithms automatic PID controller tuning auto‐tuner closed loop systems closed‐loop control performance closed‐loop time constant Computer simulation control system synthesis Controllers disturbance rejection Disturbances feedback filtering theory frequency domain‐based PID controller design frequency estimation Frequency response frequency sampling filters frequency‐domain analysis FSF model‐based algorithm Monte Carlo methods Monte Carlo simulation open loop systems open‐loop time constant plant frequency response information estimation process control Proportional integral derivative proportional‐integral‐derivative controller reference following relay control relay feedback control Research Article Sampling sampling methods scaling factor three‐term control Time constant disturbance rejection proportional-integral-derivative controller auto-tuner open loop systems feedback automatic PID controller tuning reference following Monte Carlo methods closed-loop control performance scaling factor frequency domain-based PID controller design three-term control relay feedback control sampling methods filtering theory control system synthesis frequency-domain analysis frequency sampling filters frequency estimation closed loop systems open-loop time constant process control FSF model-based algorithm plant frequency response information estimation relay control frequency response closed-loop time constant Monte Carlo simulation
ISSN:	1751-8644, 1751-8652
Online Access:	Get full text
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