Abstract
In this paper we propose a neural network as a controller (NC) for suppression of load swing with disturbance like a gust wind in a rotary crane system. The rotary crane system has structure which rotates around the vertical axis, resulting in a nonholonomic system. In general, it is difficult to design the classical control method for nonholonomic system using a static continuous state feedback law. So, it is necessary for nonholonomic system to design a time-varying feedback controller or a discontinuous feedback controller. Previous research had been successful in constructing the suppression controller of the load swing by using NC with a single initial rotation angle and three initial rotation angles when a gust occurred. The NC optimized by genetic algorithm (GA) had good control performance, but could not stabilize the load swing for the untrained condition. The purpose of this paper is to improve the performance of the NC optimized by GA when the gust occurred at random.
| Original language | English |
|---|---|
| Title of host publication | SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems |
| Pages | 1543-1546 |
| Number of pages | 4 |
| Publication status | Published - 2010 |
| Event | Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 - Okayama, Japan Duration: 2010 Dec 8 → 2010 Dec 12 |
Other
| Other | Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 10/12/8 → 10/12/12 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
Cite this
Study on suppression of load swing with gust for rotary crane. / Nakazono, Kunihiko; Ohnishi, Kouhei; Kinjo, Hiroshi; Yamamoto, Tetsuhiko.
SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. 2010. p. 1543-1546.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Study on suppression of load swing with gust for rotary crane
AU - Nakazono, Kunihiko
AU - Ohnishi, Kouhei
AU - Kinjo, Hiroshi
AU - Yamamoto, Tetsuhiko
PY - 2010
Y1 - 2010
N2 - In this paper we propose a neural network as a controller (NC) for suppression of load swing with disturbance like a gust wind in a rotary crane system. The rotary crane system has structure which rotates around the vertical axis, resulting in a nonholonomic system. In general, it is difficult to design the classical control method for nonholonomic system using a static continuous state feedback law. So, it is necessary for nonholonomic system to design a time-varying feedback controller or a discontinuous feedback controller. Previous research had been successful in constructing the suppression controller of the load swing by using NC with a single initial rotation angle and three initial rotation angles when a gust occurred. The NC optimized by genetic algorithm (GA) had good control performance, but could not stabilize the load swing for the untrained condition. The purpose of this paper is to improve the performance of the NC optimized by GA when the gust occurred at random.
AB - In this paper we propose a neural network as a controller (NC) for suppression of load swing with disturbance like a gust wind in a rotary crane system. The rotary crane system has structure which rotates around the vertical axis, resulting in a nonholonomic system. In general, it is difficult to design the classical control method for nonholonomic system using a static continuous state feedback law. So, it is necessary for nonholonomic system to design a time-varying feedback controller or a discontinuous feedback controller. Previous research had been successful in constructing the suppression controller of the load swing by using NC with a single initial rotation angle and three initial rotation angles when a gust occurred. The NC optimized by genetic algorithm (GA) had good control performance, but could not stabilize the load swing for the untrained condition. The purpose of this paper is to improve the performance of the NC optimized by GA when the gust occurred at random.
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UR - http://www.scopus.com/inward/citedby.url?scp=84866713049&partnerID=8YFLogxK
M3 - Conference contribution
SP - 1543
EP - 1546
BT - SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems
ER -