2019
DOI: 10.1109/access.2019.2896146
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Nonlinear Improved Concise Backstepping Control of Course Keeping for Ships

Abstract: The backstepping control is a kind of nonlinear controller design algorithm. To simplify the nonlinear controller design process, decrease the number of undetermined parameters, improve the robustness, and reduce the energy consumption of the course-keeping controller for ships, an improved concise design method is proposed by introducing an arctan nonlinear function passed through by course error signal under the backstepping design framework, while the design process of the controller is simplified to only o… Show more

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Cited by 33 publications
(29 citation statements)
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References 23 publications
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“…Compared with the pure backstepping control, the improved algorithm proposed reserves the nonlinear item of the system and possesses a strong disturbance rejection ability and robustness to the mathematical model uncertainty. In [18], to simplify the design process of the nonlinear controller, decrease the number of undetermined parameters, improve robustness, and reduce the energy consumption of the course-keeping controller for ships, an improved concise design method is proposed by introducing an arctan nonlinear function passed through by course error signal under the backstepping design framework, while the design process of the controller is simplified to only one step. In [19], to enhance the performance of the integrator backstepping controller, a control law formed by the closedloop gain-shaping algorithm is adopted to replace the linear terms in the original control law.…”
Section: The Improvement Of Integrator Backstepping Control For Shmentioning
confidence: 99%
“…Compared with the pure backstepping control, the improved algorithm proposed reserves the nonlinear item of the system and possesses a strong disturbance rejection ability and robustness to the mathematical model uncertainty. In [18], to simplify the design process of the nonlinear controller, decrease the number of undetermined parameters, improve robustness, and reduce the energy consumption of the course-keeping controller for ships, an improved concise design method is proposed by introducing an arctan nonlinear function passed through by course error signal under the backstepping design framework, while the design process of the controller is simplified to only one step. In [19], to enhance the performance of the integrator backstepping controller, a control law formed by the closedloop gain-shaping algorithm is adopted to replace the linear terms in the original control law.…”
Section: The Improvement Of Integrator Backstepping Control For Shmentioning
confidence: 99%
“…is input-to-state stable (ISS). Note that (12) shows that S(r) in (13) does not affect the ISS property.…”
Section: ) Kinematic Controlmentioning
confidence: 99%
“…Additional work considering the nonlinear feedback controllers from [10] is presented in [11], where a magnituderate saturation (MRS) model is added to the system and the effects are explored through model-scale experiments. Other recent work which consider the use of nonlinear feedback terms include [12] and [13], where sine and arctan functions, respectively, are employed for the purpose of 1-DOF ship heading control. In [14], an adaptive fuzzy tracking algorithm was proposed for vessel motion control to handle external disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…Another PI-type controller was designed by Dariusz in order to maintain a stable surge tank water level [11]. The nonlinear robust controller has also been widely used in many other fields; references [12][13][14] constructed a concise controller and concluded parameters for testing the strong robustness and superior control performance through the simulation test of smart autonomous surface ships. Additionally, they presented a backstepping control, which is a nonlinear controller design algorithm to design a course-keeping controller for ships, such as a nonlinear control for the steering wheel, which is also carried out in the Control System of Autonomous Vehicles.…”
Section: Introductionmentioning
confidence: 99%