NDLI: A feature-based data-driven approach for controller design and tuning

Content Provider	IEEE Xplore Digital Library
Author	Jian-Xin Xu Dongxu Ji
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Computer Engineering, NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore (Jian-Xin Xu; Dongxu Ji)
Abstract	Traditionally controller tuning is model based. In many practical applications, however, the process model cannot be obtained and model-free tuning is imperative. In industrial control the huge amount of data is available, but we lack effective controller tuning schemes that are data driven instead of model driven. To address this issue, in this paper we first introduce the concept of feature space that can capture the characteristics of a control process, either in the time domain, frequency domain, or others. (data space to feature space, dim reduction) Next we introduce the control basis function space and control parameter space. The features and parameters form a mapping relationship. The controller tuning process can thus be formulated into the inversion of the mapping that yields appropriate control parameters and minimizes the mismatching between reference features and actual features. When the inversion is not analytically solvable, the iterative learning tuning method can be used.
Starting Page	172
Ending Page	178
File Size	1195236
Page Count	7
File Format	PDF
ISBN	9781424464999
e-ISBN	9781424465026
DOI	10.1109/ICCIS.2010.5518560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-28
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industrial control Process control Tuning Iterative methods Three-term control Frequency domain analysis Electrical equipment industry Stability Zinc Data engineering parameter searching feature-based tuning data-driven basis function space
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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