access icon free Modulated predictive current control for a two-level grid-connected converter with over-modulation capability

© The Institution of Engineering and Technology
Received 29/06/2019, Accepted 12/12/2019, Revised 18/11/2019, Published 31/01/2020

Modulated model predictive control (M2PC) approaches have been widely investigated owing to their improved steady-state performance and constant switching frequency operation. However, most of these methods either increase control complexity or cannot obtain optimal solutions under certain operating conditions such as lower modulation index and near the boundary of linear and over-modulation regions. To overcome these limitations, this study proposes a new modulated predictive current control technique based on a novel virtual vector synthesis. The optimal duty cycle is obtained by solving the optimisation problem defined by the cost function. To minimise the tracking error of the input current, a simple non-linearity compensation method for the converter is also demonstrated. The experimental results confirm that the proposed technique significantly reduces the steady-state error of the controlled objective and the ripples in the input current without sacrificing the transient performance compared to other existing M2PC methods.

Inspec keywords: switching convertors; electric current control; power convertors; power grids; optimisation; predictive control

Other keywords: nonlinearity compensation method; lower modulation index; modulated predictive current control technique; over-modulation capability; operating conditions; controlled objective; input current; existing M2PC methods; improved steady-state performance; modulated model predictive control; control complexity; novel virtual vector synthesis; over-modulation regions; steady-state error; optimal duty cycle; two-level grid-connected converter; optimal solutions; constant switching frequency operation

Subjects: Power convertors and power supplies to apparatus; Current control; Control of electric power systems; Optimal control

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