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- Title
Composite adaptive model predictive control for DC-DC boost converters.
- Authors
Li Po; Li Ruiyu; Shao Tianying; Zhang Jingrui; Fang Zheng
- Abstract
A composite adaptive model predictive control (MPC) scheme is proposed to mitigate model mismatches due to parameter uncertainties and disturbances in controller designs for DC-DC boost converters. First, a model-based feedforward compensator based on a cascade proportional-integral (PI) MPC controller was developed as a current reference to improve the dynamic response performance. Then, an observer was employed to construct an accurate model and thereby avoid overcompensation and poor prediction due to model mismatch. Finally, a finite control set MPC was implemented to select a suitable switching state with which to realise output voltage regulation. Compared with a traditional PI MPC, the proposed controller has a rapid dynamic response, and compared with an unknown offset free MPC, the proposed controller is well suited to a simplified model. The proposed methods and benefits were validated by simulations in MATLAB/Simulink and by experiments on an NI Compact RIO rapid control prototype test bench.
- Subjects
PREDICTIVE control systems; DC-to-DC converters; ELECTRIC potential; MATLAB (Computer software); SIMULINK (Computer software)
- Publication
IET Power Electronics (Wiley-Blackwell), 2018, Vol 11, Issue 10, p1
- ISSN
1755-4535
- Publication type
Article
- DOI
10.1049/iet-pel.2017.0835