Remote parameters tuning system based on simplex-search-based model-free optimisation for motor speed control

Motor is a very widely used control device in industry. The performance of a motor speed control system is very critical for its application. The control performance can be improved through control parameters tuning. However, the parameters tuning process is difficult to implement online automatical...

Full description

Saved in:
Bibliographic Details
Published in:Journal of engineering (Stevenage, England) England), 2019-12, Vol.2019 (23), p.9201-9208
Main Authors: Kong, Xiangsong, Tang, Zeyu, Zhu, Yisheng, Xiao, Yining, Shen, Qinghang, Jiang, Shaobo
Format: Article
Language:English
Subjects:
7th International Symposium on Test Automation and Instrumentation (ISTAI 2018)
angular velocity control
control device
control parameter optimisation
control parameter tuning
control performance improvement
control system synthesis
electric motors
machine control
MATLAB computation ability
motor speed control system
optimisation
parameter tuning process
radio networks
remote motor control system framework
remote parameter tuning system
search problems
simplex-search-based mfo
simplex-search-based model-free optimisation
telecontrol
wireless network
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Motor is a very widely used control device in industry. The performance of a motor speed control system is very critical for its application. The control performance can be improved through control parameters tuning. However, the parameters tuning process is difficult to implement online automatically. The traditional parameters tuning methods for a motor control system are usually experience-based, cumbersome and time-consuming. In this study, taking advantage of the high computation ability of the MATLAB, a remote motor control system framework based on the wireless network was proposed. The simplex-search-based model-free optimisation (MFO) was developed based on the MATLAB platform to optimise the control parameters. With this optimisation methodology, the performance of the control system can be improved iteratively by directly using measurements of the control performance online. This system has been realised and tested systematically. The effectiveness and the efficiency have been demonstrated by a series of experiments.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2018.9217