Abstract
In this paper, the pitch angle control of a laboratory model helicopter is discussed. The control has some specific features. As a main feature, it is observed that the steady state control command is completely dependent on the setpoint, so error-based controller design is not applicable to this case. Moreover, the system has a highly oscillating dynamics. In order to solve this control problem, two controllers are designed, an artificial neural network, whose input is the setpoint, is used to provide the steady state control command, and a fuzzy inference system ,whose input is the error of the system, is used to provide the transient control command. The total control command is the sum of the aforementioned two control commands. It is proved that both ANN and FIS are bounded-input bounded-output (BIBO) systems.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC |
| Volume | 17 |
| Edition | 1 PART 1 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of Duration: Jul 6 2008 → Jul 11 2008 |
Other
| Other | 17th World Congress, International Federation of Automatic Control, IFAC |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 7/6/08 → 7/11/08 |
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Keywords
- Hybrid systems stability
- Iterative learning control
- Nonlinear systems
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Design and stability discussion of a hybrid intelligent controller. / Mohammadzaheri, Morteza; Chen, Lei.
Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. Vol. 17 1 PART 1. ed. 2008.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Design and stability discussion of a hybrid intelligent controller
AU - Mohammadzaheri, Morteza
AU - Chen, Lei
PY - 2008
Y1 - 2008
N2 - In this paper, the pitch angle control of a laboratory model helicopter is discussed. The control has some specific features. As a main feature, it is observed that the steady state control command is completely dependent on the setpoint, so error-based controller design is not applicable to this case. Moreover, the system has a highly oscillating dynamics. In order to solve this control problem, two controllers are designed, an artificial neural network, whose input is the setpoint, is used to provide the steady state control command, and a fuzzy inference system ,whose input is the error of the system, is used to provide the transient control command. The total control command is the sum of the aforementioned two control commands. It is proved that both ANN and FIS are bounded-input bounded-output (BIBO) systems.
AB - In this paper, the pitch angle control of a laboratory model helicopter is discussed. The control has some specific features. As a main feature, it is observed that the steady state control command is completely dependent on the setpoint, so error-based controller design is not applicable to this case. Moreover, the system has a highly oscillating dynamics. In order to solve this control problem, two controllers are designed, an artificial neural network, whose input is the setpoint, is used to provide the steady state control command, and a fuzzy inference system ,whose input is the error of the system, is used to provide the transient control command. The total control command is the sum of the aforementioned two control commands. It is proved that both ANN and FIS are bounded-input bounded-output (BIBO) systems.
KW - Hybrid systems stability
KW - Iterative learning control
KW - Nonlinear systems
UR - http://www.scopus.com/inward/record.url?scp=79961019804&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961019804&partnerID=8YFLogxK
U2 - 10.3182/20080706-5-KR-1001.0925
DO - 10.3182/20080706-5-KR-1001.0925
M3 - Conference contribution
SN - 9783902661005
VL - 17
BT - Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
ER -