MIXED-REALITY ENVIRONMENT FOR ONLINE SYSTEM IDENTIFICATION OF NONLINEAR SYSTEMS | ||||
The International Conference on Applied Mechanics and Mechanical Engineering | ||||
Article 69, Volume 13, 13th International Conference on Applied Mechanics and Mechanical Engineering., May 2008, Page 32-43 PDF (446.23 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/amme.2008.39373 | ||||
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Authors | ||||
ASHRAF I. S.1; SABER A.2; TAREK T.1 | ||||
1Assistant professor, Dpt. of Mechatronics, Philadelphia University, Amman, Jordan. | ||||
2Associate professor, Dpt. of Mechatronics, Philadelphia University, Amman, Jordan. | ||||
Abstract | ||||
ABSTRACT This paper presents a method to identify non-linear-systems in a real time environment. Acquiring the system's transfer function accurately could be extremely difficult once it has been assembled, which causes a great difficulty in the non-linear system modeling and control. Therefore in this research, Mixed Reality Environment (MRE) has been employed to identify the system's transfer function using Auto-Regressive Moving Average (ARMAX) model algorithm in order to avoid the complexity associated with nonlinear systems modeling. Online system identification can be conducted effectively and efficiently using the proposed method. The advantages of the proposed method are high accuracy in the identified system, simplicity, and low cost. The results obtained from on line experimental measured data are used to determine discrete transfer function of the system, 4th order model with one step prediction shows best performance. | ||||
Keywords | ||||
On-line Identification; Auto-Regressive Moving-Average; Pneumatic servo drive; Mixed Reality Environment | ||||
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