Abstract
For targeting a feedback system with an unknown plant (controlled object), there are several methods for controller designing. In order to reduce costs, conventional methods use a single set of experimental I/O data to design a controller. In this paper, we propose a new method for this purpose, which improves the conventional data conversion method (DCM) and enables us to design a controller by giving an outline figure of the ideal output. In the proposed method, two kinds of the I/O data of the plant are defined. One data is obtained from the linearity of the plant, experimental data (single set of I/O), and an unknown vector. The other is obtained from the structure of a feedback system when the ideal output is given. A controller is designed by matching these two data. Because designing with giving the ideal output directly is possible, this method provides a design environment that makes it possible to reflect a user's idea. Furthermore, proposed method produces a more appropriate parameter for the controller. We confirmed the effectiveness of new method by conducting simulation experiments. In the experiments, we compared proposed method with conventional DCM, and designed a controller by assuming the outline of the ideal output. The result of proposed method showed better performances compared to the conventional methods.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 311-315 |
| Number of pages | 5 |
| ISBN (Print) | 9788993215090 |
| DOIs | |
| Publication status | Published - 2015 Dec 23 |
| Externally published | Yes |
| Event | 15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16 |
Other
| Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Busan |
| Period | 15/10/13 → 15/10/16 |
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Keywords
- Data-based controller design
- DCM
- feedback control system
- linear system
- PID tuning
- VRFT
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
New controller design method based on the data conversion method. / Arimura, Ryota; Premachandra, Chinthaka; Kato, Kiyotaka.
ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 311-315 7364929.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - New controller design method based on the data conversion method
AU - Arimura, Ryota
AU - Premachandra, Chinthaka
AU - Kato, Kiyotaka
PY - 2015/12/23
Y1 - 2015/12/23
N2 - For targeting a feedback system with an unknown plant (controlled object), there are several methods for controller designing. In order to reduce costs, conventional methods use a single set of experimental I/O data to design a controller. In this paper, we propose a new method for this purpose, which improves the conventional data conversion method (DCM) and enables us to design a controller by giving an outline figure of the ideal output. In the proposed method, two kinds of the I/O data of the plant are defined. One data is obtained from the linearity of the plant, experimental data (single set of I/O), and an unknown vector. The other is obtained from the structure of a feedback system when the ideal output is given. A controller is designed by matching these two data. Because designing with giving the ideal output directly is possible, this method provides a design environment that makes it possible to reflect a user's idea. Furthermore, proposed method produces a more appropriate parameter for the controller. We confirmed the effectiveness of new method by conducting simulation experiments. In the experiments, we compared proposed method with conventional DCM, and designed a controller by assuming the outline of the ideal output. The result of proposed method showed better performances compared to the conventional methods.
AB - For targeting a feedback system with an unknown plant (controlled object), there are several methods for controller designing. In order to reduce costs, conventional methods use a single set of experimental I/O data to design a controller. In this paper, we propose a new method for this purpose, which improves the conventional data conversion method (DCM) and enables us to design a controller by giving an outline figure of the ideal output. In the proposed method, two kinds of the I/O data of the plant are defined. One data is obtained from the linearity of the plant, experimental data (single set of I/O), and an unknown vector. The other is obtained from the structure of a feedback system when the ideal output is given. A controller is designed by matching these two data. Because designing with giving the ideal output directly is possible, this method provides a design environment that makes it possible to reflect a user's idea. Furthermore, proposed method produces a more appropriate parameter for the controller. We confirmed the effectiveness of new method by conducting simulation experiments. In the experiments, we compared proposed method with conventional DCM, and designed a controller by assuming the outline of the ideal output. The result of proposed method showed better performances compared to the conventional methods.
KW - Data-based controller design
KW - DCM
KW - feedback control system
KW - linear system
KW - PID tuning
KW - VRFT
UR - http://www.scopus.com/inward/record.url?scp=84966312476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966312476&partnerID=8YFLogxK
U2 - 10.1109/ICCAS.2015.7364929
DO - 10.1109/ICCAS.2015.7364929
M3 - Conference contribution
AN - SCOPUS:84966312476
SN - 9788993215090
SP - 311
EP - 315
BT - ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -