Off-Line Tuning of Positioning Control System using Particle Swarm Optimization Considering Speed Controller
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- Kaneko Takayuki
- Fuji Electric Advanced Technology Co., Ltd.
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- Matsumoto Hiroyuki
- Fuji Electric Advanced Technology Co., Ltd.
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- Mine Hironori
- Fuji Electric Advanced Technology Co., Ltd.
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- Nishida Hideyuki
- Fuji Electric Systems Co., Ltd.
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- Nakayama Tomoharu
- Fuji Electric FA Components & Systems Co., Ltd.
Bibliographic Information
- Other Title
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- 位置決め制御系における速度制御マイナーループを考慮したParticle Swarm Optimizationによるオフラインチューニング
- イチギメ セイギョケイ ニ オケル ソクド セイギョ マイナーループ オ コウリョ シタ Particle Swarm Optimization ニ ヨル オフラインチューニング
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Abstract
This paper describes an optimal off-line tuning method for position controller in mechanical system using a new evolutionary algorithm called particle swarm optimization (PSO). Generally in the industry machinery, the autonomous performance to the position control system is getting more strongly demanded. In this paper, two approaches to the optimization are detailed. First, PSO is used in order to optimize the coefficient of a mathematical model as system identification. Second, the parameter of a controller will be directly optimized by evaluating a response using PSO. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good efficiency.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 127 (1), 52-59, 2007
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679634444672
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- NII Article ID
- 10018660470
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 8623237
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed