Published October 30, 2009
| Version v1
Journal article
CAS algorithm-based optimum design of PID controller in AVR system
- 1. National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)
- 2. Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China)
- 3. Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China)
Description
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2009.02.006Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2009.02.006;
- PII
- S0960-0779(09)00063-0;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 42
- Journal Issue
- 2
- Journal Page Range
- p. 792-800
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41020476
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ALGORITHMS; ANTS; CHAOS THEORY; CONTROL SYSTEMS; PERFORMANCE; SIMULATION; VECTORS; VOLTAGE REGULATORS
- Descriptors DEC
- ANIMALS; ARTHROPODS; HYMENOPTERA; INSECTS; INVERTEBRATES; MATHEMATICAL LOGIC; MATHEMATICS; TENSORS
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.