능동제어가 가능한 선미 인터셉터가 부착된 활주선형 선박의 시스템 식별과 자세 제어에 관한 연구
System Identification and Pitch Control of a Planing Hull Ship with a Controllable Stern Intercepter
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초록
Planing hull type ships are often equipped with interceptor or trim tab to improve the excessive trim angle which leads to poor resistance and sea keeping performances. The purpose of this study is to design a controller to control the attitude of the ship by controllable stern interceptor and validate the effectiveness of the attitude control by the towing tank test. Embedded controller, servo motor and controllable stern interceptor system were equipped with planing hull type model ship. Prior to designing the control algorithm, a model test was performed to identify the system dynamic model of the planing hull type ship including the stern interceptor. The matrix components of model were optimized by Genetic Algorithm. Using the identified model, PID controller which is a classical controller and sliding mode controller which is a nonlinear robust controller were designed. Gain tuning of the controllers and running simulation was conducted before the towing tank test. Inserting the designed control algorithm into the embedded controller of the model ship, the effectiveness of the active control of the stern interceptor was validated by towing tank test. In still water test with small disturbance, the sliding mode controller showed better performance of canceling the disturbance and the steady-state control performance than the PID controller.
Abstract
Planing hull type ships are often equipped with interceptor or trim tab to improve the excessive trim angle which leads to poor resistance and sea keeping performances. The purpose of this study is to design a controller to control the attitude of the ship by controllable stern interceptor and validate the effectiveness of the attitude control by the towing tank test. Embedded controller, servo motor and controllable stern interceptor system were equipped with planing hull type model ship. Prior to designing the control algorithm, a model test was performed to identify the system dynamic model of the planing hull type ship including the stern interceptor. The matrix components of model were optimized by Genetic Algorithm. Using the identified model, PID controller which is a classical controller and sliding mode controller which is a nonlinear robust controller were designed. Gain tuning of the controllers and running simulation was conducted before the towing tank test. Inserting the designed control algorithm into the embedded controller of the model ship, the effectiveness of the active control of the stern interceptor was validated by towing tank test. In still water test with small disturbance, the sliding mode controller showed better performance of canceling the disturbance and the steady-state control performance than the PID controller.
참고문헌 (23)
- Baker, J.E., "Adaptive selection methods for genetic algorithms", Proceeding of 1st International Conference on Genetic Algorithms and Their Applications (1985)
- De Jong, K.A., "An analysis of the behavior of a class of genetic adaptive systems", Doctoral, pp.1975
- Ertogan, M., "Optimal trim control of a high-speed craft by trim tabs", inerceptors Part I: Pitch and surge coupled dynamic modelling using sea trial data, 2017, pp.130, 300~309
- Faltinsen, O.M., "Hydrodynamics of high-speed marine vehicles" (2005), Cambridge University Press
- Goldberg, D.E., "Genetic algorithms in search, optimization and machine learning" (1989), Addison-Wesley Publishing Co. Inc.
- Goldberg, D.E., "Real-coded genetic algorithms, virtual alphabets, and blocking", Complex Systems, 5, pp.139~167 (1991)
- Holland, J.H., "Adaptation in natural and artificial systems" (1975), The University of Michigan Press
- Janikow, C.Z., "An experimental comparison of binary and floating point representations in genetic algorithms", Proceeding of 4th International Conference on Genetic Algorithms (1991)
- Jin, G.G., "A study on a real-coded genetic algorithm", Journal of Control, Automation and Systems Engineering, 6(4), pp.268~275 (2000)
- Karimi, M.H., "A study on vertical motions of high-speed planing boats with automatically controlled stern interceptors in calm water and head waves", Ships and Offshore Structure, 10(3), pp.335~348 (2015)[DOI]
- Khalil, H.K., "Nonlinear systems" (2002), Prentice-Hall
- Kim, D.J., "Effects of trim tabs on running attitude and resistance performance of a water-jet propelled high speed vessel", Proceedings of the Annual Autumn Meating (2011)
- 김동진, "반배수량형 둥근빌지 고속선의 항주자세 및 동적안정성에 관한 연구", 박사, 산업·조선공학부, pp.2012
- Luca, F.D., "Experimental investigation on conventional and unconventional interceptors", International Journal of Small Craft Technology Part B of The Royal Institution of Naval Architects transactions technical papers, 153, pp.B65~B72 (2012)
- Mansila, R.M., "Parametric model identification of high-speed craft dynamics", Ocean Engineering, 36(12), pp.1025~1038 (2009)[DOI]
- Michalewicz, Z., "Genetic algorithms + data structures = evolution Programs" (1996), Springer-Verlag
- Molini, A., "Hydrodynamics of interceptors: a fundamental study", International Conference on Marine Research and Transportation (2005)
- Oh, K.T., "Small UAV system identification in time domain", Korean Conference on Aeronautical And Space Sciences (2012)
- Rijkens, A.A.K., "A computational tool for the design of ride control systems for fast planing vessels", International Shipbuilding Progress, 58(4), pp.165~190 (2011)
- 서광철, "Experimental investigation of dynamic trim control devices in fast speed vessel", 한국항해항만학회지, 37(2), pp.137~142 (2013), 한국항해항만학회[DOI]
- Sonnenburg, C.R., "Modeling, identification, and control of an unmanned surface vehicle", Journal of Field Robotics, 30(3), pp.371~398 (2013)[DOI]
- Wang, L.W., "A study on motions of high speed planing boats with controllable flaps in regular waves", International Shipbuilding Progress, 32(365), pp.6~23 (1985)[DOI]
- Whitley, D., "The genitor algorithm and selection pressure: why rank-based allocation of reproductive trials is best", Proceeding of 3rd International Conference on Genetic Algorithms and Their Applications (1989)