A class of adaptive feedforward control using multiplexed extremum seeking
J Sharafi, WH Moase, C Manzie
2016 IEEE 55th Conference on Decision and Control (CDC) | IEEE | Published : 2016
Most extremum seeking design approaches consider optimising the steady state output of a plant with stationary input-output behaviour. However, when the plant is subject to a time-varying exogenous disturbance, the plant extremum point may vary accordingly. This paper firstly considers the effect of slowly varying exogenous inputs on the performance of a black-box extremum seeking scheme. The analysis reveals that, under proper tuning, the extremum seeking controller converges to the extremum of an average map. A multiplexed extremum seeking framework that estimates the mapping between the extremum point and the disturbance signal is then proposed. The approach is demonstrated via simulation..View full abstract
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Awarded by Australian Research Council's Discovery Projects funding scheme
This work was supported under the Australian Research Council's Discovery Projects funding scheme (Project DP120101830).