Design of three exponentially convergent robust controllers for the trajectory tracking of autonomous underwater vehicles. (1st April 2017)
- Record Type:
- Journal Article
- Title:
- Design of three exponentially convergent robust controllers for the trajectory tracking of autonomous underwater vehicles. (1st April 2017)
- Main Title:
- Design of three exponentially convergent robust controllers for the trajectory tracking of autonomous underwater vehicles
- Authors:
- Qiao, Lei
Yi, Bowen
Wu, Defeng
Zhang, Weidong - Abstract:
- Abstract: This paper deals with the trajectory tracking problem of autonomous underwater vehicles (AUVs) in the presence of dynamic uncertainties and time-varying external disturbances. Three exponentially convergent robust controllers, namely, the min-max type controller, the saturation type controller and the smooth transition type controller are proposed to drive an AUV to track a predefined trajectory. It is shown that the filtered tracking errors, position tracking errors and velocity tracking errors for the three proposed controllers are exponentially convergent. Moreover, all the above tracking errors for the three proposed controllers can be shaped by specific analytic expressions and such expressions illustrate how the transient responses of the above tracking errors can be modified by adjusting the control parameters. The characteristics of the three proposed controllers are summarized and demonstrated with numerical simulations. Theoretical comparison analysis and comparative simulations with the existing RISE-based controller of AUV are presented to show the effectiveness of the three proposed exponentially convergent robust controllers. Highlights: Three exponentially convergent robust controllers are proposed for the trajectory tracking of AUVs in the presence of dynamic uncertainties and time-varying external disturbances. The filtered, position and velocity tracking errors for the three proposed controllers are exponentially convergent with specific analyticAbstract: This paper deals with the trajectory tracking problem of autonomous underwater vehicles (AUVs) in the presence of dynamic uncertainties and time-varying external disturbances. Three exponentially convergent robust controllers, namely, the min-max type controller, the saturation type controller and the smooth transition type controller are proposed to drive an AUV to track a predefined trajectory. It is shown that the filtered tracking errors, position tracking errors and velocity tracking errors for the three proposed controllers are exponentially convergent. Moreover, all the above tracking errors for the three proposed controllers can be shaped by specific analytic expressions and such expressions illustrate how the transient responses of the above tracking errors can be modified by adjusting the control parameters. The characteristics of the three proposed controllers are summarized and demonstrated with numerical simulations. Theoretical comparison analysis and comparative simulations with the existing RISE-based controller of AUV are presented to show the effectiveness of the three proposed exponentially convergent robust controllers. Highlights: Three exponentially convergent robust controllers are proposed for the trajectory tracking of AUVs in the presence of dynamic uncertainties and time-varying external disturbances. The filtered, position and velocity tracking errors for the three proposed controllers are exponentially convergent with specific analytic expressions. The analytic expressions of the filtered, position and velocity tracking errors illustrate how the transient responses of these tracking errors can be modified by adjusting the control parameters. The three proposed controllers provide faster response speed than the existing RISE-based controller for AUV in the presence of sufficiently smooth bounded external disturbances. The three proposed controllers are still applicable in the presence of nonsmooth bounded external disturbances as opposite to the existing RISE-based controller for AUV. … (more)
- Is Part Of:
- Ocean engineering. Volume 134(2017)
- Journal:
- Ocean engineering
- Issue:
- Volume 134(2017)
- Issue Display:
- Volume 134, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 134
- Issue:
- 2017
- Issue Sort Value:
- 2017-0134-2017-0000
- Page Start:
- 157
- Page End:
- 172
- Publication Date:
- 2017-04-01
- Subjects:
- Autonomous underwater vehicles (AUVs) -- Trajectory tracking -- Exponential convergence -- Robust control
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2017.02.006 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1232.xml