Real-Time Parameter Estimation Method Applied to a MIMO Process and its Comparison with an Offline Identification Method
- Marmara University, Technical Education Faculty, Dept. of Mechatronics Kadikoy, 34722 Istanbul (Turkey)
- Yeditepe University, Dept. of Mechanical Engineering Kayisdagi, 34755 Istanbul (Turkey)
- Marmara University, Technical Education Faculty, Dept. of Electronics and Computer Kadikoy, 34722 Istanbul (Turkey)
An experiment based method is proposed for parameter estimation of a class of linear multivariable systems. The method was applied to a pressure-level control process. Experimental time domain input/output data was utilized in a gray-box modeling approach. Prior knowledge of the form of the system transfer function matrix elements is assumed to be known. Continuous-time system transfer function matrix parameters were estimated in real-time by the least-squares method. Simulation results of experimentally determined system transfer function matrix compare very well with the experimental results. For comparison and as an alternative to the proposed real-time estimation method, we also implemented an offline identification method using artificial neural networks and obtained fairly good results. The proposed methods can be implemented conveniently on a desktop PC equipped with a data acquisition board for parameter estimation of moderately complex linear multivariable systems.
- OSTI ID:
- 21255388
- Journal Information:
- AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1089; ISSN APCPCS; ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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