Set-based Predictive Control of a Grid-tied Inverter with LCL filter Under Variable Grid Inductance Conditions
| Autor: | Renato Babojelic, Jadranko Matuško, Sandor Iles |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Computer science 020208 electrical & electronic engineering 02 engineering and technology Invariant (physics) Grid Ellipsoid Inductance Model predictive control Control theory power converters model predictive control finite control set robust control 0202 electrical engineering electronic engineering information engineering Inverter 020201 artificial intelligence & image processing Robust control |
| Zdroj: | 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). |
| DOI: | 10.1109/pedg48541.2020.9244331 |
| Popis: | This paper presents a set-based model predictive control algorithm for controlling a grid-connected converter with an LCL filter. Taking into account uncertainties in the grid impedance the system is modeled using a polytopic linear parameter varying system framework. A robust stabilizing state feedback gain is computed together with a robust positively invariant terminal set. Starting from the terminal set, a family of inner ellipsoidal approximations of control invariant sets is computed off-line. Online an optimization problem is solved subject to a set-membership constraint on the first state. In that way, the model predictive controller is used to steer the states of the system to the terminal set in a finite time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|