Research On Improved Model Predictive Control Strategy Based On Mld Model

2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)(2018)

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摘要
Aiming at the three-phase inverter, an improved model predictive control strate*' based on mixed logical dynamical(MLD) model is proposed. Firstly, the state equation of the three-phase inverter with the switching function is established. By including the logic variable to judge the switching state of each subinterval and its constraints and the conditional changes of the circuit, a three-phase inverter MLD model is built. Then, an improved model predictive control strategy based on convex optimization algorithm is come up with according to the model. The control strategy can effectively reduce the harmonic content of the output current and the dynamic adjustment time of the system, and the algorithm computation time is greatly shortened.
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关键词
model predictive control strategy,mixed logical dynamical model,state equation,switching function,logic variable,switching state,convex optimization algorithm,dynamic adjustment time,algorithm computation time,three-phase inverter MLD model
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