NDLI: Convergence performance oriented data-driven tuning method for parameterised controller design with cases investigation

Content Provider	IET Digital Library
Author	Zhu, Yu Jiang, Yi Yang, Kaiming Hu, Chuxiong Mu, Haihua
Abstract	This study develops a data-driven controller tuning scheme to iteratively achieve the desired objective criterion with significant improvement of the convergence performance. Differing from model-based approaches, the controller is in a linear parameterisation form and the controller parameters are tuned by fully using available collection data to address the practical difficulty in obtaining accurate dynamic model. Specifically, the internal iterative behaviour between the current parameter and the optimal parameter is firstly analysed with mathematic expression. Moreover, a novel iterative law based on the behaviour is proposed, which has the ability to directly seek the global optimal parameter that minimises the objective criterion. Furthermore, an unbiased gradient approximation based on the Toeplitz matrix is developed to simplify the practical implementation. Case studies are conducted by both simulation and experiment, and the results consistently indicate that the proposed tuning scheme not only guarantees the parameter converging to global minimum, but also possesses an excellent convergence rate. The proposed strategy essentially provides a novel data-driven controller tuning method and could be applied to practical applications.
Starting Page	1322
Ending Page	1330
Page Count	9
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 12, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0661
Journal	IET Control Theory & Applications
Publisher Date	2016-08-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Cables (mechanical) Control System Analysis Control System Synthesis Controller Design Data-driven Tuning Method Electromechanical System Gradient Approximation Gradient Method Interpolation And Function Approximation Iterative Behaviour Linear Algebra Linear Parameterization Linear Positioning Cable Stage Linear System Minimisation Numerical Analysis Objective Criterion Minimization Optimal Control Optimal Control Parameter Optimisation Technique Position Control Spatial Variables Control Synthesis Method Toeplitz Matrix
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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