53rd IEEE Conference on Decision and Control 2014
DOI: 10.1109/cdc.2014.7040073
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A robust tracking controller for dynamically positioned surface vessels with added mass

Abstract: Abstract-This work concentrates on tracking control of dynamically positioned surface vessels with asymmetric added mass terms affecting the system model at the acceleration level. Specifically, we propose a novel continuous robust controller for surface vessels that, in addition to asymmetric added mass in its inertia matrix, contains unstructured uncertainties in all its system matrices. The proposed controller compensates the overall system uncertainties and ensures asymptotic tracking, while requiring only… Show more

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Cited by 6 publications
(3 citation statements)
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References 26 publications
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“…In [18], a model-reference adaptive control technique cascaded with adaptive Kalman filter was presented for dynamically positioned shuttle tanker. In our previous study [5], a novel continuous robust full-state feedback controller was designed for surface vessels that contains unstructured uncertainties in its system matrices.…”
Section: Introductionmentioning
confidence: 99%
“…In [18], a model-reference adaptive control technique cascaded with adaptive Kalman filter was presented for dynamically positioned shuttle tanker. In our previous study [5], a novel continuous robust full-state feedback controller was designed for surface vessels that contains unstructured uncertainties in its system matrices.…”
Section: Introductionmentioning
confidence: 99%
“…Proof: Readers can refer to [18] for the proof. Remark 3: As a result of the fact thatŪ u (t) being unity upper triangular, Θ (t) in (45) can be rewritten as…”
Section: Stability Analysismentioning
confidence: 99%
“…(68) Proof: Reader can refers to [18] for the proof. Theorem 2: (Asymptotic convergence proof) Given the dynamic model in (1) and (2), the controller of (33) and (34) ensures the tracking error signal e 1 (t) converges to origin asymptotically in the sense that…”
Section: Stability Analysismentioning
confidence: 99%