Tuning of Digital PID Controllers Using Particle Swarm Optimization Algorithm for a CAN-Based DC Motor Subject to Stochastic Delays

In this article, we investigate the tuning problem of digital proportional-integral-derivative (PID) parameters for a dc motor controlled via the controller area network (CAN). First, the model of the dc motor is presented with its parameters being identified with experimental data. By studying the...

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Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 67; no. 7; pp. 5637 - 5646
Main Authors:	Qi, Zhi, Shi, Qian, Zhang, Hui
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Controller area network Controller area network (CAN) D C motors DC motors Delays Feedback control Linear quadratic regulator Mathematical model Mathematical models Optimization algorithms Output feedback Parameter identification Particle swarm optimization particle swarm optimization (PSO) Product design Proportional integral derivative proportional-integral-derivative (PID) tuning method Stability analysis static output feedback (SOF) Stochastic processes Time delay systems Tuning Velocity control
ISSN:	0278-0046, 1557-9948
Online Access:	Get full text
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