Design Boundary Layer Thickness and Switching Gain in SMC Algorithm for AUV Motion Control
Designing the boundary layer thickness and switching gain in the nonlinear part of sliding mode controller (SMC) is one of the main subjects in SMC design that needs human experience, knowledge on the amplitude of disturbances, and information about the bounds of system uncertainties. In this paper,...
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| Published in | Robotica Vol. 37; no. 10; pp. 1785 - 1803 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Cambridge, UK
Cambridge University Press
01.10.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0263-5747 1469-8668 |
| DOI | 10.1017/S0263574719000262 |
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| Abstract | Designing the boundary layer thickness and switching gain in the nonlinear part of sliding mode controller (SMC) is one of the main subjects in SMC design that needs human experience, knowledge on the amplitude of disturbances, and information about the bounds of system uncertainties. In this paper, to reduce the trial-and-error effort by the designer(s) two different fitness functions in the horizontal and vertical planes are presented and a heuristic method is used for their optimization. The optimal switching gain in the proposed approach properly compensates the unmodeled dynamics, model uncertainty, and external disturbances. Chattering phenomenon in control signals and noise measurement effect are reduced by the optimal selection of boundary layer thickness. This proposed method is applied to an autonomous underwater vehicle (AUV) and evaluated through the real-time and cost-effective manner. The execution code is implemented on a single-board computer (SBC) through the xPC Target and is evaluated by the processor-in-the-loop (PIL) test. The results of the PIL test in the two different test cases indicate that the chattering phenomenon and amplitude of control signal applied to the actuators are reduced in comparison with the three conventional approaches in the AUV motion control. |
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| AbstractList | Designing the boundary layer thickness and switching gain in the nonlinear part of sliding mode controller (SMC) is one of the main subjects in SMC design that needs human experience, knowledge on the amplitude of disturbances, and information about the bounds of system uncertainties. In this paper, to reduce the trial-and-error effort by the designer(s) two different fitness functions in the horizontal and vertical planes are presented and a heuristic method is used for their optimization. The optimal switching gain in the proposed approach properly compensates the unmodeled dynamics, model uncertainty, and external disturbances. Chattering phenomenon in control signals and noise measurement effect are reduced by the optimal selection of boundary layer thickness. This proposed method is applied to an autonomous underwater vehicle (AUV) and evaluated through the real-time and cost-effective manner. The execution code is implemented on a single-board computer (SBC) through the xPC Target and is evaluated by the processor-in-the-loop (PIL) test. The results of the PIL test in the two different test cases indicate that the chattering phenomenon and amplitude of control signal applied to the actuators are reduced in comparison with the three conventional approaches in the AUV motion control. |
| Author | Ferdowsi, Mohamad Hossein Danesh, Mohammad Taheri, Ehsan |
| Author_xml | – sequence: 1 givenname: Ehsan surname: Taheri fullname: Taheri, Ehsan email: taheri.ehsan@mut-es.ac.ir organization: †Control Group, Electrical Engineering Department, Malek Ashtar University of Technology, 15875-1774, Tehran, Iran – sequence: 2 givenname: Mohamad Hossein surname: Ferdowsi fullname: Ferdowsi, Mohamad Hossein organization: †Control Group, Electrical Engineering Department, Malek Ashtar University of Technology, 15875-1774, Tehran, Iran – sequence: 3 givenname: Mohammad surname: Danesh fullname: Danesh, Mohammad organization: ‡Department of Mechanical Engineering, Isfahan University of Technology, 84156-83111, Isfahan, Iran |
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| Cites_doi | 10.1109/LRA.2016.2531792 10.1007/s12555-012-0181-3 10.1016/j.oceaneng.2015.07.040 10.1017/S0263574715000867 10.1016/j.oceaneng.2016.06.041 10.1007/s12555-014-0252-8 10.1016/j.apor.2018.12.008 10.1109/TIE.2017.2694410 10.1016/j.oceaneng.2010.10.007 10.1109/TSMC.2016.2645699 10.1109/ACC.2015.7171048 10.1177/0142331217721315 10.1007/978-3-642-37829-4_41 10.1049/iet-cta.2016.0236 10.1109/CCA.2005.1507101 10.1109/JOE.1985.1145131 10.1109/TAC.1977.1101446 10.1017/S0263574718000218 10.2514/1.G000376 10.3233/IFS-151799 10.1016/j.robot.2016.05.016 10.1016/j.apor.2012.06.002 10.1109/TIE.2009.2027531 10.1016/j.asoc.2017.10.025 10.1109/OCEANS.2016.7761167 10.1007/s00500-014-1412-8 |
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| Keywords | Heuristic optimization algorithm Processor-in-the-loop test Sliding mode controller Autonomous underwater vehicle |
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| SubjectTerms | Actuators Algorithms Amplitudes Autonomous underwater vehicles Boundary layer thickness Disturbances Fitness Heuristic methods Microprocessors Motion control Noise control Noise measurement Optimization Sliding mode control Switching Uncertainty |
| Title | Design Boundary Layer Thickness and Switching Gain in SMC Algorithm for AUV Motion Control |
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