I&I Based An Adaptive MPC Approach for An Uncertain Underwater Vehicle Model


Topbas H., Yalçın Y.

9th International Conference on Electrical and Electronics Engineering (ICEEE), Alanya, Turkey, 29 - 31 March 2022, pp.198-205 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iceee55327.2022.9772598
  • City: Alanya
  • Country: Turkey
  • Page Numbers: pp.198-205
  • Keywords: immersion and invariance, model predictive control, underwater vehicle, INVARIANCE, IMMERSION
  • Istanbul Technical University Affiliated: Yes

Abstract

This paper considers adaptive model predictive control of an underwater vehicle with an uncertain discrete-time model that contains a singular regressor matrix complicating to estimate uncertain parameters online. As the first, immersion and invariance-based estimator is designed via a state augmentation approach to remove the singularity of the regressor matrix, and stability of the estimator is investigated. Then, using the information coming from the designed estimator, an adaptive linear model predictive control is established for reference trajectory tracking considering some hard and soft constraints. The performance of the proposed estimator and adaptive model predictive control is presented by simulation results.