The use of DC-DC step-up converters have increased significantly due to their implementation as power interfaces in microgrids (MGs), smart grids (SGs) and electrical vehicles. The step-up converters adapt the source voltage or current to the load specifications through an appropriate control algorithm which is linear in most cases. However, the linear algorithms guarantee mostly the system’s stability and desired performances only around a relatively small neighborhood of the equilibrium point. Model predictive controllers (MPC) were proposed to improve the converter’s performances and to broaden its operating region. However, MPC have been based mostly on the converter’s approximated linear model which contributed to a relatively narrow operating region. This work presents an MPC algorithm based on an exactly linearized converter’s model. The converter’s model is linearized according to an exact input state linearization control (ILC). To the best of our knowledge, this would be the first work to present a real-time implementation of input state linearization, combined with a predictive control (MPC) loop, in the context of dc-dc boost converters control. The objectif of the exact linearization is to keep using the same reduced complexity linear MPC, while at the same time, allowing the extension of the system’s operation area when compared with the classic linear control. The simulations and experimental results show that the proposed control static and dynamic performances are by far better than the ones of the standard linear control.
| Date | 17 Mar 2022 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Louis-A. Dessaint (Supervisor) |
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El Aouni, W. (Author),
Dessaint (Supervisor),
17 Mar 2022Student thesis: Doctoral thesis › Doctorate in Engineering: Engineering