NDLI: Local learning-based model-free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry

Content Provider	IET Digital Library
Author	Hou, Zhongsheng Liu, Shida Yin, Chenkun
Abstract	During the united gas improvement (UGI) gasification process in the syngas industry, the oxygen-enriched technique plays an important role, since the obtained oxygen-enriched air with a high oxygen concentration can enhance the production efficiency of the syngas. However, satisfactory control performance for the oxygen concentration of the oxygen-enriched air is hard to achieve because an accurate dynamical model of the oxygen concentration control process by the first principles is fairly difficult to obtain due to strong non-linearity and unknown disturbances in practice. A novel data-driven control method called compact-form-dynamic-linearisation-based model-free adaptive predictive control approach combined with the local learning (LL-CFDL-MFAPC) is proposed to address the control problem. In LL-CFDL-MFAPC, the online and offline input–output measurement data of the plant are fully and simultaneously utilised during the control process, and the design of the controller is model free by means of compact-form-dynamic-linearisation technique. Moreover, the controller has strong robustness because the prediction mechanism participates in control design and only the input/output measurement data are used. The stability and convergence of LL-CFDL-MFAPC are guaranteed by theoretical analysis under several reasonable assumptions, and simulation experiments using real data collected from a practical UGI gasifier verify that the oxygen concentration control problem can be effectively addressed by the proposed method.
Starting Page	1384
Ending Page	1394
Page Count	11
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.2015.0835
Journal	IET Control Theory & Applications
Publisher Date	2016-08-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Compact-form-dynamic-linearisation-based Model-free Adaptive Predictive Control Approach Control Application in Chemical And Oil Refining Industries Control Technology And Theory Data-driven Control Method Fuel Processing Industry Learning System Linearisation Technique LL-CFDL-MFAPC Local Learning-based Model-free Adaptive Predictive Control Offline Input-output Measurement Data Online Input-output Measurement Data Optimal Control Oxygen Oxygen Concentration Adjustment Oxygen Concentration Control Process Oxygen-enriched Air Oxygen-enriched Technique Predictive Control Self Adjusting Control System Stability Syngas Syngas Manufacturing Industry Syngas Production Efficiency UGI Gasification Process
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Model-free adaptive control method for a class of unknown MIMO systems with measurement noise and application to quadrotor aircraft

Controller dynamic linearisation-based model-free adaptive control framework for a class of non-linear system

Data-driven-based event-triggered tracking control for non-linear systems with unknown disturbance

A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

Multi-input–multi-output system experimental validation of model-free control and virtual reference feedback tuning techniques

Robust control of an islanded multi-bus microgrid based on input–output feedback linearisation and sliding mode control

Robust output voltage control of a high gain DC–DC converter under applied load and input voltage uncertainties

Improved data driven model free adaptive constrained control for a solid oxide fuel cell

Output feedback MPC based on smoothed projected kinky inference

Local learning-based model-free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry

Similar Documents

Model-free adaptive control method for a class of unknown MIMO systems with measurement noise and application to quadrotor aircraft

Controller dynamic linearisation-based model-free adaptive control framework for a class of non-linear system

Data-driven-based event-triggered tracking control for non-linear systems with unknown disturbance

A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

Multi-input–multi-output system experimental validation of model-free control and virtual reference feedback tuning techniques

Robust control of an islanded multi-bus microgrid based on input–output feedback linearisation and sliding mode control

Robust output voltage control of a high gain DC–DC converter under applied load and input voltage uncertainties

Improved data driven model free adaptive constrained control for a solid oxide fuel cell

Output feedback MPC based on smoothed projected kinky inference

Local learning-based model-free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry