Input data selection for identification of the incremental ship’s model

• Autorzy: Miller A.

Identyfikatory

DOI

10.17402/172

• Języki publikacji: EN

Abstrakty

EN

The procedure of Linear Incremental Model (LIM) identification requires input and output signal deviations as opposed to their actual values. When considering a vessel as a plant, the sequence of input signals determines the traceability of the estimated LIM. The manual input signals selection procedure is a demanding and time consuming empirical procedure. In order to increase the speed of object identification and to eliminate input-output signal sequences which give unreliable data, an incremental linear model identification algorithm was developed and is presented. Moreover, the method of parameter selection for input signal pseudo-random sequences is described in this paper. Emphasis is placed on the practical aspect of astatic objects – ship’s LIM creation and input-output signal deviations selection method.

Słowa kluczowe

EN

model identification; mathematical linear model; model for Model Predictive Control (MPC); selection procedure; data; parameters

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2016
• Tom: nr 48 (120)
• Strony: 29--36
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Miller A.

• Gdynia Maritime University, Department of Ship Automation 81–87 Morska St., 81-225 Gdynia, Poland

Bibliografia

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• 2. Camacho, E.F. & Bordons, C. (1999) Model Predictive Control. Springer.
• 3. Gelu, L.I. & Toma-Leonida, D. (2013) Dynamic Models Adaptation for a 4 Inj – 2PP Common-rail Pressure System. In: IECON 2013 – 39th Annual Conference of the IEEE. Vienna, Austria, 10–13 November 2013.
• 4. Gierusz, W. & Miller, A. (2016) Ship motion control system for replenishment operation. Applied Mechanics and Materials 817. pp. 214–222.
• 5. Gierusz, W. (2004) Synteza wielowymiarowych układów sterowania precyzyjnego ruchem statku z wykorzystaniem wybranych metod projektowania układów odpornych. Gdynia: Gdynia Maritime University (in Polish).
• 6. Gierusz, W. (2016) Private communication.
• 7. Jayawardhana, B., Ortega, R., Garcia-Canseco, E. & Castanos, F. (2007) Passivity of nonlinear incremental systems: Application to PI stabilization of nonlinear RLC circuits. Systems & Control Letters 56 (9). pp. 618–622.
• 8. Ljung, L. (2016) System Identification Toolbox for Use with MATLAB. [Online] The MathWorks Inc, Available from: http://cn.mathworks.com/help/pdf_doc/ident/ident_gs.pdf. [Accessed: May 10, 2016]
• 9. Rajasekar, N. & Sundaram, K.M. (2012) Feedback controller design for variable voltage variable speed induction motor drive via Ant Colony Optimization. Applied Soft Computing 12. pp. 2132–2136.
• 10. Theisen, L.R.S., Niemann, H.H., Santos, I.F. & Blanke, M. (2015) Modelling and identification for control of gas bearings. Mechanical Systems and Signal Processing 70–71. pp. 1150–1170.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)