NDLI: Particle swarm optimization based robust PID controller tuning scheme

Content Provider	IEEE Xplore Digital Library
Author	Tae-Hyoung Kim Maruta, I. Sugie, T.
Copyright Year	2007
Description	Author affiliation: Japan Sci. & Technol. Agency, Saitama (Tae-Hyoung Kim)
Abstract	A novel optimal tuning technique for robust PID controllers based on the augmented Lagrangian particle swarm optimization (ALPSO) is presented. To this aim, we first consider the problem on PID controller tuning satisfying $H_{infin}$ performance criteria. It suffers from computational intractability and conservatism when the existing methods are introduced. In the proposed approach, the ALPSO based optimal robust gain tuning technique for PID controllers is introduced in order to solve simply and directly such a design problem without using any complicated manipulations. The proposed scheme works without any conservative assumption required in the conventional methods, and also enables one to find a set of optimal gains by just solving the constrained optimization problem in a straightforward way. The numerical results demonstrate that our approach is not only computationally efficient but also considerably convenient to obtain a set of optimal PID controller parameters.
Starting Page	200
Ending Page	205
File Size	252271
Page Count	6
File Format	PDF
ISBN	9781424414970
ISSN	01912216
DOI	10.1109/CDC.2007.4434126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Robust control Three-term control Optimal control Constraint optimization Proportional control Pi control Design optimization Control systems Design methodology
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

Robust pid control system design for chaotic systems using particle swarm optimization algorithm

Robust PID controller design using particle swarm optimizer

Robust PID controller design using particle swarm optimization

Advanced particle swarm optimization-based PID controller parameters tuning

Optimization design based on PSO algorithm for PID controller

PID controller parameters tuning in servo system based on chaotic particle swarm optimization

PSO Algorithm Based Online Self-Tuning of PID Controller

Particle Swarm Optimization for PID Controllers with Robust Testing

Stochastic algorithm for PID tuning of bus suspension system

Particle swarm optimization based robust PID controller tuning scheme

Similar Documents

Robust pid control system design for chaotic systems using particle swarm optimization algorithm

Robust PID controller design using particle swarm optimizer

Robust PID controller design using particle swarm optimization

Advanced particle swarm optimization-based PID controller parameters tuning

Optimization design based on PSO algorithm for PID controller

PID controller parameters tuning in servo system based on chaotic particle swarm optimization

PSO Algorithm Based Online Self-Tuning of PID Controller

Particle Swarm Optimization for PID Controllers with Robust Testing

Stochastic algorithm for PID tuning of bus suspension system

Particle swarm optimization based robust PID controller tuning scheme