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, Türkiye, 29 - 31 Mart 2022, ss.198-205 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iceee55327.2022.9772598
  • Basıldığı Şehir: Alanya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.198-205
  • Anahtar Kelimeler: immersion and invariance, model predictive control, underwater vehicle, INVARIANCE, IMMERSION
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.