NDLI: A new adaptive MPC system

Content Provider	IEEE Xplore Digital Library
Author	Yucai Zhu
Copyright Year	2011
Description	Author affiliation: Department of Control Science and Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China (Yucai Zhu)
Abstract	Current generation of industrial MPC technology has two main disadvantages: 1) it is very costly to implement and to maintain an MPC system; 2) the performance in disturbance reduction is low. To solve these two problems, an adaptive MPC technology is introduced. It consists of three modules, a Control Module, an Identification Module and a Monitor Module. It can perform various steps of an MPC project automatically and in a parallel manner. Thus, the efficiency of MPC commissioning and maintenance can be increased by a factor of 3 or more. In the MPC Control Module, an adaptive disturbance model is used to improve control performance and robustness. A prototype of the adaptive MPC system has been applied successfully to a PTA unit. Due to its simplicity and user friendliness, this technology may change the way MPC is applied and can make MPC feasible for all process industries, not just the refining/petrochemical industry. Recent tests have shown that the adaptive disturbance model can increase control performance considerably. A traditional adaptive MPC controller performs sample-wise identification and adaptation of both process models and disturbance models without monitoring the test condition and model quality. The new adaptive MPC system is very different from the traditional adaptive control: the process model is adapted on demand (when activated by the Monitor Module) where test signals are used in model identification; the disturbance model is adapted sample-wise without using test signals. We believe that this new scheme is more adequate for the control of large scale industrial processes than the traditional adaptive controller.
Starting Page	447
Ending Page	449
File Size	198833
Page Count	3
File Format	PDF
ISBN	9781424474608
e-ISBN	9789881725509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Zhejiang University
Subject Keyword	Adaptation model Process control Maintenance engineering Control systems Robustness Monitoring Load modeling
Content Type	Text
Resource Type	Article

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

Recent advances in adaptive MPC

Delta-operator-based adaptive MPC for an MCFC system

Adaptive control based on sensitivity model-based adaptation of lead-lag compensator parameters

Model reference adaptive control of a full-bridge buck inverter with minimal controller synthesis

A new finite-time convergent and robust direct model reference adaptive control for SISO linear time invariant systems

A fuzzy compensation mechanism in FFRLS-based adaptive MPC strategy

Adaptive control of air delivery system for PEM fuel cell using backstepping

Research on Model Free Adaptive Control Method of Thermal Power Unit

RAIDE for engineering architecture-based self-adaptive systems

A new adaptive MPC system

Similar Documents

Recent advances in adaptive MPC

Delta-operator-based adaptive MPC for an MCFC system

Adaptive control based on sensitivity model-based adaptation of lead-lag compensator parameters

Model reference adaptive control of a full-bridge buck inverter with minimal controller synthesis

A new finite-time convergent and robust direct model reference adaptive control for SISO linear time invariant systems

A fuzzy compensation mechanism in FFRLS-based adaptive MPC strategy

Adaptive control of air delivery system for PEM fuel cell using backstepping

Research on Model Free Adaptive Control Method of Thermal Power Unit

RAIDE for engineering architecture-based self-adaptive systems

A new adaptive MPC system