Feedback noncausal model predictive control of wave energy converters |
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| Affiliation: | 1. Centre for Ocean Energy Research, Maynooth University, Maynooth, Co.Kildare, Ireland;2. Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK;3. Department of Civil Engineering and Computer Science Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy;1. School of Engineering and Material Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, UK;2. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK |
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| Abstract: | In this paper, a novel feedback noncausal model predictive control (MPC) strategy for sea wave energy converters (WECs) is proposed, where the wave prediction information can be explicitly incorporated into the MPC strategy to improve the WEC control performance. The main novelties of the MPC strategy proposed in this paper include: (i) the recursive feasibility and robust constraints satisfaction are guaranteed without a significant increase in the computational burden; (ii) the information of short-term wave prediction is incorporated into the feedback noncausal MPC method to maximise the potential energy output; (iii) the sea condition for the WEC to safely operate in can be explicitly calculated. The proposed feedback noncausal MPC algorithm can also be extended to a wide class of control design problems, especially to the energy maximisation problems with constraints to be satisfied and subject to persistent but predictable disturbances. Numerical simulations are provided to show the efficacy of the proposed feedback noncausal MPC. |
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| Keywords: | Wave energy converters Feedback model predictive control Recursive feasibility Wave predictions |
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