Design a software real-time operation platform for wave piercing catamarans motion control using linear quadratic regulator based genetic algorithm
This work presents optimal linear quadratic regulator (LQR) based on genetic algorithm (GA) to solve the two degrees of freedom (2 DoF) motion control problem in head seas for wave piercing catamarans (WPC). The proposed LQR based GA control strategy is to select optimal weighting matrices (Q and R)...
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Published in | PloS one Vol. 13; no. 4; p. e0196107 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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30.04.2018
Public Library of Science (PLoS) |
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Abstract | This work presents optimal linear quadratic regulator (LQR) based on genetic algorithm (GA) to solve the two degrees of freedom (2 DoF) motion control problem in head seas for wave piercing catamarans (WPC). The proposed LQR based GA control strategy is to select optimal weighting matrices (Q and R). The seakeeping performance of WPC based on proposed algorithm is challenged because of multi-input multi-output (MIMO) system of uncertain coefficient problems. Besides the kinematical constraint problems of WPC, the external conditions must be considered, like the sea disturbance and the actuators (a T-foil and two flaps) control. Moreover, this paper describes the MATLAB and LabVIEW software plats to simulate the reduction effects of WPC. Finally, the real-time (RT) NI CompactRIO embedded controller is selected to test the effectiveness of the actuators based on proposed techniques. In conclusion, simulation and experimental results prove the correctness of the proposed algorithm. The percentage of heave and pitch reductions are more than 18% in different high speeds and bad sea conditions. And the results also verify the feasibility of NI CompactRIO embedded controller. |
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AbstractList | This work presents optimal linear quadratic regulator (LQR) based on genetic algorithm (GA) to solve the two degrees of freedom (2 DoF) motion control problem in head seas for wave piercing catamarans (WPC). The proposed LQR based GA control strategy is to select optimal weighting matrices (Q and R). The seakeeping performance of WPC based on proposed algorithm is challenged because of multi-input multi-output (MIMO) system of uncertain coefficient problems. Besides the kinematical constraint problems of WPC, the external conditions must be considered, like the sea disturbance and the actuators (a T-foil and two flaps) control. Moreover, this paper describes the MATLAB and LabVIEW software plats to simulate the reduction effects of WPC. Finally, the real-time (RT) NI CompactRIO embedded controller is selected to test the effectiveness of the actuators based on proposed techniques. In conclusion, simulation and experimental results prove the correctness of the proposed algorithm. The percentage of heave and pitch reductions are more than 18% in different high speeds and bad sea conditions. And the results also verify the feasibility of NI CompactRIO embedded controller. This work presents optimal linear quadratic regulator (LQR) based on genetic algorithm (GA) to solve the two degrees of freedom (2 DoF) motion control problem in head seas for wave piercing catamarans (WPC). The proposed LQR based GA control strategy is to select optimal weighting matrices (Q and R). The seakeeping performance of WPC based on proposed algorithm is challenged because of multi-input multi-output (MIMO) system of uncertain coefficient problems. Besides the kinematical constraint problems of WPC, the external conditions must be considered, like the sea disturbance and the actuators (a T-foil and two flaps) control. Moreover, this paper describes the MATLAB and LabVIEW software plats to simulate the reduction effects of WPC. Finally, the real-time (RT) NI CompactRIO embedded controller is selected to test the effectiveness of the actuators based on proposed techniques. In conclusion, simulation and experimental results prove the correctness of the proposed algorithm. The percentage of heave and pitch reductions are more than 18% in different high speeds and bad sea conditions. And the results also verify the feasibility of NI CompactRIO embedded controller.This work presents optimal linear quadratic regulator (LQR) based on genetic algorithm (GA) to solve the two degrees of freedom (2 DoF) motion control problem in head seas for wave piercing catamarans (WPC). The proposed LQR based GA control strategy is to select optimal weighting matrices (Q and R). The seakeeping performance of WPC based on proposed algorithm is challenged because of multi-input multi-output (MIMO) system of uncertain coefficient problems. Besides the kinematical constraint problems of WPC, the external conditions must be considered, like the sea disturbance and the actuators (a T-foil and two flaps) control. Moreover, this paper describes the MATLAB and LabVIEW software plats to simulate the reduction effects of WPC. Finally, the real-time (RT) NI CompactRIO embedded controller is selected to test the effectiveness of the actuators based on proposed techniques. In conclusion, simulation and experimental results prove the correctness of the proposed algorithm. The percentage of heave and pitch reductions are more than 18% in different high speeds and bad sea conditions. And the results also verify the feasibility of NI CompactRIO embedded controller. |
Audience | Academic |
Author | Liang, Lihua Yuan, Jia Zhao, Peng Zhang, Songtao |
AuthorAffiliation | College of Automation, Harbin Engineering University, Harbin, Nangang District 145, Harbin city, Heilongjiang Province, China Southwest University, CHINA |
AuthorAffiliation_xml | – name: Southwest University, CHINA – name: College of Automation, Harbin Engineering University, Harbin, Nangang District 145, Harbin city, Heilongjiang Province, China |
Author_xml | – sequence: 1 givenname: Lihua surname: Liang fullname: Liang, Lihua – sequence: 2 givenname: Jia orcidid: 0000-0003-1122-6315 surname: Yuan fullname: Yuan, Jia – sequence: 3 givenname: Songtao surname: Zhang fullname: Zhang, Songtao – sequence: 4 givenname: Peng surname: Zhao fullname: Zhao, Peng |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29709008$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1177/0731684408089506 10.1109/ISAP.2009.5352943 10.1088/0964-1726/11/1/311 10.1016/j.cnsns.2009.04.030 10.1016/j.asoc.2014.01.019 10.1016/j.asoc.2015.12.024 10.1016/j.conengprac.2013.11.007 10.1016/j.oceaneng.2013.06.009 10.1016/j.marstruc.2013.05.001 10.1016/j.asoc.2012.08.032 10.1016/0967-0661(95)00046-W 10.1016/j.isatra.2013.09.003 10.2478/aee-2014-0034 10.1016/j.asoc.2012.03.062 10.1109/IICPE.2014.7115839 10.1016/0005-1098(90)90045-J 10.1016/j.proeng.2013.09.088 |
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SubjectTerms | Actuators Algorithms Analysis Automation Biology and Life Sciences Catamarans Computer and Information Sciences Computer programs Computer simulation Control theory Controllers Degrees of freedom Engineering Engineering and Technology Feasibility studies Flaps Genetic algorithms Hydrofoil craft Linear quadratic regulator Military technology MIMO (control systems) Motion control Parameter estimation Physical Sciences Real time operation Research and Analysis Methods Sea keeping Software Wave-piercing hulls |
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Title | Design a software real-time operation platform for wave piercing catamarans motion control using linear quadratic regulator based genetic algorithm |
URI | https://www.ncbi.nlm.nih.gov/pubmed/29709008 https://www.proquest.com/docview/2032803674 https://www.proquest.com/docview/2033388833 https://pubmed.ncbi.nlm.nih.gov/PMC5927446 https://doaj.org/article/3c3e31dd71d843bba185189d87802338 http://dx.doi.org/10.1371/journal.pone.0196107 |
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